Database Management Quotes

Finally, most identity thefts occur when databases are not securely managed. So, my advice? Don’t ever end up in a database.

The beauty in the genome is of course that it's so small. The human genome is only on the order of a gigabyte of data...which is a tiny little database. If you take the entire living biosphere, that's the assemblage of 20 million species or so that constitute all the living creatures on the planet, and you have a genome for every species the total is still about one petabyte, that's a million gigabytes - that's still very small compared with Google or the Wikipedia and it's a database that you can easily put in a small room, easily transmit from one place to another. And somehow mother nature manages to create this incredible biosphere, to create this incredibly rich environment of animals and plants with this amazingly small amount of data.

At 38, I look back at my 32-year-old self and regret that he wasted time. Then I regret wasting my current time regretting regrets about regrets. This is pretty sophisticated regretting I'm doing. That's the sole advantage of ageing: I can now effortlessly consolidate my regrets into one manageable block of misery. Otherwise, by the age of 44, I'd need complex database software just to keep track of precisely how many things I'm regretting at once.

This new science of performance argues that you get better at a skill as you develop more myelin around the relevant neurons, allowing the corresponding circuit to fire more effortlessly and effectively. To be great at something is to be well myelinated. This understanding is important because it provides a neurological foundation for why deliberate practice works. By focusing intensely on a specific skill, you’re forcing the specific relevant circuit to fire, again and again, in isolation. This repetitive use of a specific circuit triggers cells called oligodendrocytes to begin wrapping layers of myelin around the neurons in the circuits—effectively cementing the skill. The reason, therefore, why it’s important to focus intensely on the task at hand while avoiding distraction is because this is the only way to isolate the relevant neural circuit enough to trigger useful myelination. By contrast, if you’re trying to learn a complex new skill (say, SQL database management) in a state of low concentration (perhaps you also have your Facebook feed open), you’re firing too many circuits simultaneously and haphazardly to isolate the group of neurons you actually want to strengthen. In

Database Management System [Origin: Data + Latin basus "low, mean, vile, menial, degrading, ounterfeit."] A complex set of interrelational data structures allowing data to be lost in many convenient sequences while retaining a complete record of the logical relations between the missing items. -- From The Devil's DP Dictionary

Protecting data is not just about preventing unauthorized access. It also involves ensuring data integrity and availability.

Over time, managers and executives began using statistics and analysis to forecast the future, relying on databases and spreadsheets in much the same way ancient seers relied on tea leaves and goat entrails.

Over time, managers and executives began using statistics and analysis to forecast the future, relying on databases and spreadsheets in much the same way ancient seers relied on tea leaves and goat entrails. The

Database schemas are notoriously volatile, extremely concrete, and highly depended on. This is one reason why the interface between OO applications and databases is so difficult to manage, and why schema updates are generally painful.

We didn’t think of ourselves as participating in the surveillance economy. We weren’t thinking about our role in facilitating and normalizing the creation of unregulated, privately held databases on human behavior. We were just allowing product managers to run better A/B tests.

America's poor and working-class people have long been subject to invasive surveillance, midnight raids, and punitive public policy that increase the stigma and hardship of poverty. During the nineteenth century, they were quarantined in county poorhouses. During the twentieth century, they were investigated by caseworkers, treated like criminals on trial. Today, we have forged what I call a digital poorhouse from databases, algorithms, and risk models. It promises to eclipse the reach and repercussions of everything that came before. Like earlier technological innovations in poverty management, digital tracking and automated decision-making hid poverty from the professional middle-class public and give the nation the ethical distance it needs to make inhuman choices: who gets food and who starves, who has housing and who remains homeless, and which families are broken up by the state. The digital poorhouse is part of a long American tradition. We manage the individual poor in order to escape our shared responsibility for eradicating poverty.

One of the patterns from domain-driven design is called bounded context. Bounded contexts are used to set the logical boundaries of a domain’s solution space for better managing complexity. It’s important that teams understand which aspects, including data, they can change on their own and which are shared dependencies for which they need to coordinate with other teams to avoid breaking things. Setting boundaries helps teams and developers manage the dependencies more efficiently. The logical boundaries are typically explicit and enforced on areas with clear and higher cohesion. These domain dependencies can sit on different levels, such as specific parts of the application, processes, associated database designs, etc. The bounded context, we can conclude, is polymorphic and can be applied to many different viewpoints. Polymorphic means that the bounded context size and shape can vary based on viewpoint and surroundings. This also means you need to be explicit when using a bounded context; otherwise it remains pretty vague.

2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

I deal in information," he says to the smarmy, toadying pseudojournalist who "interviews" him. He's sitting in his office in Houston, looking slicker than normal. "All television going out to Consumers throughout the world goes through me. Most of the information transmitted to and from the CIC database passes through my networks. The Metaverse -- -the entire Street -- exists by virtue of a network that I own and control. "But that means, if you'll just follow my reasoning for a bit, that when I have a programmer working under me who is working with that information, he is wielding enormous power. Information is going into his brain. And it's staying there. It travels with him when he goes home at night. It gets all tangled up into his dreams, for Christ's sake. He talks to his wife about it. And, goddamn it, he doesn't have any right to that information. If I was running a car factory, I wouldn't let workers drive the cars home or borrow tools. But that's what I do at five o'clock each day, all over the world, when my hackers go home from work. "When they used to hang rustlers in the old days, the last thing they would do is piss their pants. That was the ultimate sign, you see, that they had lost control over their own bodies, that they were about to die. See, it's the first function of any organization to control its own sphincters. We're not even doing that. So we're working on refining our management techniques so that we can control that information no matter where it is -- on our hard disks or even inside the programmers' heads. Now, I can't say more because I got competition to worry about. But it is my fervent hope that in five or ten years, this kind of thing won't even be an issue.

Shaking his head, he continues, “It’s harder than ever to convince the business to do the right thing. They’re like kids in a candy store. They read in an airline magazine that they can manage their whole supply chain in the cloud for $499 per year, and suddenly that’s the main company initiative. When we tell them it’s not actually that easy, and show them what it takes to do it right, they disappear. Where did they go? They’re talking to their Cousin Vinnie or some outsourcing sales guy who promises they can do it in a tenth of the time and cost.” I laugh. “A couple of years ago, someone in Marketing asked my group to support a database reporting tool that one of their summer interns wrote. It was actually pretty brilliant, given that she only had a couple of months to work on it, and then it started being used in daily operations. How in the hell do you support and secure something that’s written in Microsoft Access? When the auditors found out that we couldn’t secure access to all the data, we spent weeks cobbling together something that satisfied them. “It’s like the free puppy,” I continue. “It’s not the upfront capital that kills you, it’s the operations and maintenance on the back end.

According to a recent report from the research firm Gartner Inc., “through 2017, 60% of big-data projects will fail to go beyond piloting and experimentation and will be abandoned.” It turns out that faith in Hadoop has outpaced the technology’s ability to bring big data into the mainstream. Demand for Hadoop is on the rise, yet customers have found that a technology built to index the Web may not be sufficient for corporate big-data tasks, said Nick Heudecker, research director for information management at Gartner. It can take a lot of work to combine data stored in legacy repositories with the data that’s stored in Hadoop. And while Hadoop can be much faster than traditional databases for some purposes, it often isn’t fast enough to respond to queries immediately or to work on incoming information in real time. Satisfying requirements for data security and governance also poses a challenge.

Dimensional models implemented in relational database management systems are referred to as star schemas because of their resemblance to a star-like structure. Dimensional models implemented in multidimensional database environments are referred to as online analytical processing (OLAP) cubes, as illustrated in Figure 1.1. Figure 1.1 Star schema versus OLAP cube. If your DW/BI environment includes either star schemas or OLAP cubes, it leverages dimensional concepts. Both stars and cubes have a common logical design with recognizable dimensions; however, the physical implementation differs. When data is loaded into an OLAP cube, it is stored and indexed using formats and techniques that are designed for dimensional data. Performance aggregations or precalculated summary tables are often created and managed by the OLAP cube engine. Consequently, cubes deliver superior query performance because of the precalculations, indexing strategies, and other optimizations. Business users can drill down or up by adding or removing attributes from their analyses with excellent performance without issuing new queries. OLAP cubes also provide more analytically robust functions that exceed those available with SQL. The downside is that you pay a load performance price for these capabilities, especially with large data sets.

One result of this productive system is that the middle class has grown from being about 15 percent of the population in 1920 to being 86 percent of the population in 2011. While some of the population always seem to live at the poverty line, the vast majority of Americans today are affluent compared to their grandparents. They have the money to buy the products produced by American industry. In the process, the definition of poverty has changed. The majority of Americans who are classified by the government as living at the poverty level have indoor plumbing, color television sets, cell phones, air-conditioning, washers and dryers, microwaves, automobiles, and access to free health care. They are also a significant buying group.

innovation—perhaps from the translation world’s equivalent of Uber, a taxi app. Software is unlikely to replace the translators, but it could co-ordinate their work with clients more efficiently. Smartling, an American company which seeks to cut out middlemen in this way, has clients including Tesla, an electric carmaker, and Spotify, a music-streaming service. Jochen Hummel, a pioneer in translation memory, says that a real breakthrough would come from combining software, memory and content management in a single database. But making money may still be tricky. The American tech titan has not tried to commercialise Google Translate. A former executive says the firm experimented with content-management software but “decided to focus on easier stuff, like self-driving cars.

There were also attempts to build open source versions, notably IDA sendmail and KJS. IDA sendmail came from Linköping University. IDA included extensions to make it easier to install and manage in larger environments and a completely new configuration system. One of the major new features was the inclusion of dbm(3) database maps to support highly dynamic sites. These were available using a new syntax in the configuration file and were used for many functions including mapping of addresses to and from external syntax (for example, sending out mail as john_doe@example.com instead of johnd@example.com) and routing.

The big problem is that the messages, while they can be and sometimes are personalized, are seldom filled with dynamic content based on what we know about each customer. We have these rich databases, but we do not use the rich data that they hold. To use it requires many creative staff members who dream up the dynamic content. The thought is, “Subscribers who are over 65 have certain interests, while other subscribers are college students who have different interests. We will vary our messages based on this knowledge, and also do that for about a half-dozen other subscriber segments to make our relationships richer for them and more profitable for us.” This makes a lot of sense, but few marketers today are doing anything like that. They are blasting identical content to every subscriber or customer whose e-mail or address they can get their hands on.

under the Holacracy constitution, someone who accepts a role assignment also takes on certain explicit responsibilities. These include: • Sensing and processing tensions around the role’s purpose and accountabilities, through the various channels available • Processing accountabilities: regularly identifying specific next-actions you could take and defining projects you could work toward to fulfill the role’s accountabilities • Processing projects: regularly identifying next-actions that would move each of the role’s projects forward • Tracking projects and next-actions: capturing all of the role’s projects and next-actions in a database or tangible form accessible to others, outside your own mind • Directing attention and resources: consciously and continually choosing the next-action or other activity that it makes most sense to direct your attention and resources toward, all things considered, and then taking that action.

Lastly, for journalists, the challenge ahead is to be polymaths, able to study and work with audiences, manage active databases, curate other content, and work closely with digital engineers and designers to make it all sing. They will need to be more entrepreneurial in their work arrangements, allowing the collective agreements that once ensured jobs for life to morph into new deals that reward journalists for their output as well as their input, and allow their news organizations to move staff more quickly when the market changes.

Although tapping into underground fiber-optic lines is much more difficult than tapping into a copper cable, the technique has been perfected by the NSA. For cables buried in foreign countries, the task of gaining access to them was given to a unique covert organization named the Special Collection Service (SCS), which combined the clandestine skills of the CIA with the technical capabilities of the NSA. Its purpose is to put sophisticated eavesdropping equipment—from bugs to parabolic antennas—in difficult-to-reach places. It also attempts to target for recruitment key foreign communications personnel, such as database managers, systems administrators, and IT specialists. The

Popular textbooks on database systems include Database Systems: The Complete Book by Garcia-Molina, Ullman, and Widom [GMUW08]; Database Management Systems by Ramakrishnan and Gehrke [RG03]; Database System Concepts by Silberschatz, Korth, and Sudarshan [SKS10]; and Fundamentals of Database Systems by Elmasri and Navathe [EN10]. For an edited collection of seminal articles on database systems, see Readings in Database Systems by Hellerstein and Stonebraker [HS05]. There are also many books on data warehouse

common application of thread confinement is the use of pooled JDBC (Java Database Connectivity) Connection objects. The JDBC specification does not require that Connection objects be thread-safe.[9] In typical server applications, a thread acquires a connection from the pool, uses it for processing a single request, and returns it. Since most requests, such as servlet requests or EJB (Enterprise JavaBeans) calls, are processed synchronously by a single thread, and the pool will not dispense the same connection to another thread until it has been returned, this pattern of connection management implicitly confines the Connection to that thread for the duration of the request. [9]

One of the most critical design and architecture decisions adopters of advanced analytics must make is whether to store analytic data in a data warehouse or in a standalone analytic database. Where does the data go? Where is it managed? Where are we going to do our analytical processes? Philip Russom, Senior Manager, TDWI Research

A Guide To Easy Secrets In FortiAuthenticator FortiAuthenticator User Management Appliances provide two factor authentication, RADIUS, LDAP and 802.1 X Wireless Authentication, Certificate Management and Fortinet Single Sign On. FortiAuthenticator is compatible with and complements the FortiToken variety of two factor authentication tokens for Secure Remote Access empowering authentication with multiple FortiGate network security appliances and third party apparatus. When an user login is found, the username, IP and group details are entered into the FortiAuthenticator User Identity Management Database and according to the local policy, can be shared with multiple FortiGate devices. For complicated distributed domain name architectures where polling desirable or of domain controllers is just not possible, an option is the FortiAuthenticator SSO Client. FortiAuthenticator is compatible with physical OTP tokens Certification Tokens FortiToken Mobile for IOS and Android and SMS/ e-mail tokens FortiAuthenticator supports the broadest range of tokens potential to suit your user demands with the physical FortiToken 200 e-mail and SMS tokens and the new FortiToken cellular for IOS and Android device FortiAuthenticator has a token for all users. In a large business, for example, FortiAuthenticator SSO Mobility Agent or AD polling may be picked as the principal method for transparent authentication will fallback to the portal for client users or non domain name systems. Consistently polling domain controllers detect user authentication into active directory. FortiAuthenticator removes this overhead by streamlining the bulk deployment of certificates for VPN use in a FortiGate surroundings by automating the risk-free certificate delivery via the SCEP protocol and collaborating with FortiManager for the configuration required. On the FortiToken 300 USB Certification store, certificates can be created and stored for client established certificate VPNs. This secure, pin safe certification store can be use to enhance the security of client VPN connections in conjunction and is not incompatible with FortiClient.

Web Application Development In this modern world of computer technology all people are using internet. In particular, to take advantage of this scenario the web provides a way for marketers to get to know the people visiting their sites and start communicating with them. One way of doing this is asking web visitors to subscribe to newsletters, to submit an application form when requesting information on products or provide details to customize their browsing experience when next visiting a particular website. In computing, a web application is a client–server software application in which the client runs in a web browser. HTML5 introduced explicit language support for making applications that are loaded as web pages, but can store data locally and continue to function while offline. Web Applications are dynamic web sites combined with server side programming which provide functionalities such as interacting with users, connecting to back-end databases, and generating results to browsers. Examples of Web Applications are Online Banking, Social Networking, Online Reservations, eCommerce / Shopping Cart Applications, Interactive Games, Online Training, Online Polls, Blogs, Online Forums, Content Management Systems, etc.. Applications are usually broken into logical chunks called “tiers”, where every tier is assigned a role. Traditional applications consist only of 1 tier, which resides on the client machine, but web applications lend themselves to an n-tiered approach by nature. Though many variations are possible, the most common structure is the three-tiered application. In its most common form, the three tiers are called presentation, application and storage, in this order. A web browser is the first tier (presentation), an engine using some dynamic Web content technology (such as ASP, CGI, ColdFusion, Dart, JSP/Java, Node.js, PHP, Python or Ruby on Rails) is the middle tier (application logic), and a database is the third tier (storage).The web browser sends requests to the middle tier, which services them by making queries and updates against the database and generates a user interface. Client Side Scripting / Coding – Client Side Scripting is the type of code that is executed or interpreted by browsers. Client Side Scripting is generally viewable by any visitor to a site (from the view menu click on “View Source” to view the source code). Below are some common Client Side Scripting technologies: HTML (HyperTextMarkup Language) CSS (Cascading Style Sheets) JavaScript Ajax (Asynchronous JavaScript and XML) jQuery (JavaScript Framework Library – commonly used in Ajax development) MooTools (JavaScript Framework Library – commonly used in Ajax development) Dojo Toolkit (JavaScript Framework Library – commonly used in Ajax development) Server Side Scripting / Coding – Server Side Scripting is the type of code that is executed or interpreted by the web server. Server Side Scripting is not viewable or accessible by any visitor or general public. Below are the common Server Side Scripting technologies: PHP (very common Server Side Scripting language – Linux / Unix based Open Source – free redistribution, usually combines with MySQL database) Zend Framework (PHP’s Object Oriented Web Application Framework) ASP (Microsoft Web Server (IIS) Scripting language) ASP.NET (Microsoft’s Web Application Framework – successor of ASP) ColdFusion (Adobe’s Web Application Framework) Ruby on Rails (Ruby programming’s Web Application Framework – free redistribution) Perl (general purpose high-level programming language and Server Side Scripting Language – free redistribution – lost its popularity to PHP) Python (general purpose high-level programming language and Server Side Scripting language – free redistribution). We also provide Training in various Computer Languages. TRIRID provide quality Web Application Development Services. Call us @ 8980010210

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You have no idea how destructive and wasteful your infrastructure is because you don't need to use it the way the workforce does... Drive the forklift, use the database, fill out the form, submit it to HR, and find out how long it takes to get a response. Use your own infrastructure.

Organizations seeking to commercialize open source software realized this, of course, and deliberately incorporated it as part of their market approach. In a 2013 piece on Pando Daily, venture capitalist Danny Rimer quotes then-MySQL CEO Mårten Mickos as saying, “The relational database market is a $9 billion a year market. I want to shrink it to $3 billion and take a third of the market.” While MySQL may not have succeeded in shrinking the market to three billion, it is interesting to note that growing usage of MySQL was concurrent with a declining ability of Oracle to sell new licenses. Which may explain both why Sun valued MySQL at one third of a $3 billion dollar market and why Oracle later acquired Sun and MySQL. The downward price pressure imposed by open source alternatives have become sufficiently visible, in fact, as to begin raising alarm bells among financial analysts. The legacy providers of data management systems have all fallen on hard times over the last year or two, and while many are quick to dismiss legacy vendor revenue shortfalls to macroeconomic issues, we argue that these macroeconomic issues are actually accelerating a technology transition from legacy products to alternative data management systems like Hadoop and NoSQL that typically sell for dimes on the dollar. We believe these macro issues are real, and rather than just causing delays in big deals for the legacy vendors, enterprises are struggling to control costs and are increasingly looking at lower cost solutions as alternatives to traditional products. — Peter Goldmacher Cowen and Company

Cloud Service Any service made available to users on demand via the Internet from a cloud computing provider's servers rather than from a company's own on-premises servers is referred to as a cloud service. Cloud services are managed by a cloud services provider and are designed to enable easy, scalable access to applications, resources, and services. CLOUD SERVICES ARE SCALABLE AND DYNAMIC. A cloud service may dynamically scale to meet the needs of its customers, and because the service provider provides all of the necessary hardware and software, a corporation does not need to provision or deploy its own resources or dedicate IT people to operate the service. Online data storage and backup solutions, Web-based e-mail services, hosted office suites and document collaboration services, database processing, managed technical support services, and more are all examples of cloud services.

AWS and the Seven-Year Lead When creating Amazon Web Services (cloud computing), Amazon was essentially creating their own internal Internet Operating System (IOS) and then leveraging their technology infrastructure into a profit center. He said, “IT departments are recognizing that when they adopt AWS, they get more done. They spend less time on low value-add activities like managing datacenters, networking, operating system patches, capacity planning, database scaling, and so on and so on. Just as important, they get access to powerful APIs [Application Programing Interfaces] and tools that dramatically simplify building scalable, secure, robust, high-performance systems. And those APIs and tools are continuously and seamlessly upgraded behind the scenes, without customer effort.” —Bezos (2014 Letter) In other words, Amazon took the proprietary infrastructure they built for themselves and turned it into a service that any developer could use for their own purposes.

Where do they store what they have learned and how do they access this information? After all, they don’t have brains to function as databases and manage processes. It’s the same for all plants, and that’s why some scientists are skeptical and why many of them banish to the realm of fantasy the idea of plants’ ability to learn. But, once again, along comes the Australian scientist Dr. Monica Gagliano.

A data warehouse is an organized store of data from all over the organization, specially designed to help make management decisions. Data can be extracted from operational database to answer a particular set of queries. This data, combined with other data, can be rolled up to a consistent granularity and uploaded to a separate data store called the data warehouse. Therefore, the data warehouse is a simpler version of the operational data base, with the purpose of addressing reporting and decision-making needs only.

Using these databases, we calculated that the management of Gazprom had sold seven major gas fields between 1996 and 1999 for next to nothing.

As psychologists, Ericsson and the other researchers in his field are not interested in why deliberate practice works; they’re just identifying it as an effective behavior. In the intervening decades since Ericsson’s first major papers on the topic, however, neuroscientists have been exploring the physical mechanisms that drive people’s improvements on hard tasks. As the journalist Daniel Coyle surveys in his 2009 book, The Talent Code, these scientists increasingly believe the answer includes myelin—a layer of fatty tissue that grows around neurons, acting like an insulator that allows the cells to fire faster and cleaner. To understand the role of myelin in improvement, keep in mind that skills, be they intellectual or physical, eventually reduce down to brain circuits. This new science of performance argues that you get better at a skill as you develop more myelin around the relevant neurons, allowing the corresponding circuit to fire more effortlessly and effectively. To be great at something is to be well myelinated. This understanding is important because it provides a neurological foundation for why deliberate practice works. By focusing intensely on a specific skill, you’re forcing the specific relevant circuit to fire, again and again, in isolation. This repetitive use of a specific circuit triggers cells called oligodendrocytes to begin wrapping layers of myelin around the neurons in the circuits—effectively cementing the skill. The reason, therefore, why it’s important to focus intensely on the task at hand while avoiding distraction is because this is the only way to isolate the relevant neural circuit enough to trigger useful myelination. By contrast, if you’re trying to learn a complex new skill (say, SQL database management) in a state of low concentration (perhaps you also have your Facebook feed open), you’re firing too many circuits simultaneously and haphazardly to isolate the group of neurons you actually want to strengthen.

the proliferation of user-developed spreadsheets and databases inevitably leads to multiple versions of key indicators within an organization. Furthermore, research has shown that between 20% and 40% of spreadsheets contain errors; the more spreadsheets floating around a company, therefore, the more fecund the breeding ground for mistakes. Analytics competitors, by contrast, field centralized groups to ensure that critical data and other resources are well managed and that different parts of the organization can share data easily, without the impediments of inconsistent formats, definitions, and standards.

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In a 2006 interview by Jim Gray, Amazon CTO Werner Vogels recalled another watershed moment: We went through a period of serious introspection and concluded that a service-oriented architecture would give us the level of isolation that would allow us to build many software components rapidly and independently. By the way, this was way before service-oriented was a buzzword. For us service orientation means encapsulating the data with the business logic that operates on the data, with the only access through a published service interface. No direct database access is allowed from outside the service, and there’s no data sharing among the services.3 That’s a lot to unpack for non–software engineers, but the basic idea is this: If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

CRM (Customer Relationship Management) is a marketing strategy that focuses on managing interactions and relationships with customers. CRM enables businesses to improve customer satisfaction, loyalty, and retention by providing personalized experiences that meet their needs. CRM is an essential aspect of modern marketing as it enables businesses to understand their customers' behavior, preferences, and needs and develop targeted marketing campaigns that resonate with them. In Go High Level, CRM (Customer Relationship Management) is a core component of the platform. The CRM functionality in Go High Level enables businesses to manage their customer interactions and relationships more effectively, improving customer satisfaction, loyalty, and retention. The CRM functionality in Go High Level includes a range of features and tools designed to help businesses automate and streamline their customer-facing processes, as well as provide them with insights into their customers' behavior, preferences, and needs. In essence, CRM is a set of practices, technologies, and strategies that businesses use to manage their customer interactions and relationships. The goal of CRM is to build stronger, more meaningful relationships with customers by providing them with personalized experiences and tailored solutions. CRM in marketing can be divided into three main categories: operational CRM, analytical CRM, and collaborative CRM. Operational CRM focuses on automating and streamlining customer-facing processes, such as sales, marketing, and customer service. This type of CRM is designed to improve efficiency and productivity by automating repetitive tasks and providing a centralized database of customer information. Operational CRM includes features such as sales pipeline management, lead nurturing, and customer service management. Analytical CRM focuses on analyzing customer data to gain insights into their behavior, preferences, and needs. This type of CRM enables businesses to make data-driven decisions by providing them with a better understanding of their customers' needs and preferences. Analytical CRM includes features such as customer segmentation, data mining, and predictive analytics. Collaborative CRM focuses on enabling businesses to collaborate and share customer information across different departments and functions. This type of CRM helps to break down silos within organizations and improve communication and collaboration between different teams. Collaborative CRM includes features such as customer feedback management, social media monitoring, and knowledge management. CRM is important for marketing because it enables businesses to build stronger, more meaningful relationships with customers. By understanding their customers' behavior, preferences, and needs, businesses can develop targeted marketing campaigns that resonate with them. This results in higher customer satisfaction, loyalty, and retention. CRM can also help businesses to improve their sales and marketing processes by providing them with better visibility into their sales pipeline and enabling them to track and analyze their marketing campaigns' effectiveness. This enables businesses to make data-driven decisions to improve their sales and marketing strategies, resulting in increased revenue and growth. Another benefit of CRM in marketing is that it enables businesses to personalize their marketing campaigns. Personalization is essential in modern marketing as it enables businesses to tailor their marketing messages and solutions to meet their customers' specific needs and preferences. This results in higher engagement and conversion rates, as customers are more likely to respond to marketing messages that resonate with them. Lead Generation: Go High Level provides businesses with a range of tools to generate leads, including customizable landing pages, web forms, and social media integrations.

Structured methods for learning Method Uses Useful for Organizational climate and employee satisfaction surveys Learning about culture and morale. Many organizations do such surveys regularly, and a database may already be available. If not, consider setting up a regular survey of employee perceptions. Useful for managers at all levels if the analysis is available specifically for your unit or group. Usefulness depends on the granularity of the collection and analysis. This also assumes the survey instrument is a good one and the data have been collected carefully and analyzed rigorously. Structured sets of interviews with slices of the organization or unit Identifying shared and divergent perceptions of opportunities and problems. You can interview people at the same level in different departments (a horizontal slice) or bore down through multiple levels (a vertical slice). Whichever dimension you choose, ask everybody the same questions, and look for similarities and differences in people’s responses. Most useful for managers leading groups of people from different functional backgrounds. Can be useful at lower levels if the unit is experiencing significant problems. Focus groups Probing issues that preoccupy key groups of employees, such as morale issues among frontline production or service workers. Gathering groups of people who work together also lets you see how they interact and identify who displays leadership. Fostering discussion promotes deeper insight. Most useful for managers of large groups of people who perform a similar function, such as sales managers or plant managers. Can be useful for senior managers as a way of getting quick insights into the perceptions of key employee constituencies. Analysis of critical past decisions Illuminating decision-making patterns and sources of power and influence. Select an important recent decision, and look into how it was made. Who exerted influence at each stage? Talk with the people involved, probe their perceptions, and note what is and is not said. Most useful for higher-level managers of business units or project groups. Process analysis Examining interactions among departments or functions and assessing the efficiency of a process. Select an important process, such as delivery of products to customers or distributors, and assign a cross-functional group to chart the process and identify bottlenecks and problems. Most useful for managers of units or groups in which the work of multiple functional specialties must be integrated. Can be useful for lower-level managers as a way of understanding how their groups fit into larger processes. Plant and market tours Learning firsthand from people close to the product. Plant tours let you meet production personnel informally and listen to their concerns. Meetings with sales and production staff help you assess technical capabilities. Market tours can introduce you to customers, whose comments can reveal problems and opportunities. Most useful for managers of business units. Pilot projects Gaining deep insight into technical capabilities, culture, and politics. Although these insights are not the primary purpose of pilot projects, you can learn a lot from how the organization or group responds to your pilot initiatives. Useful for managers at all levels. The size of the pilot projects and their impact will increase as you rise through the organization.

If multiple teams have direct access to a shared block of software code or some part of a database, they slow each other down. Whether they’re allowed to change the way the code works, change how the data are organized, or merely build something that uses the shared code or data, everybody is at risk if anybody makes a change. Managing that risk requires a lot of time spent in coordination. The solution is to encapsulate, that is, assign ownership of a given block of code or part of a database to one team. Anyone else who wants something from that walled-off area must make a well-documented service request via an API.

I believe the technological industry is switching in a different direction that one may think in the Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year degree from college for a career in database administration when companies can't afford to pay 100k a year? We can manage it quite fine in google sheets or excel. The utilization of AI will then completely defeat the purpose of Data As A Service when a program can dynamically build hash objects in random access memory by simply using a small script like (via switch) while creating a [5th XYZ Stargate] just like the Diablo version, but with a smaller seed. You could then store those objects for the blockchain Inna virtualized file container ;)." - Jonathan Roy Mckinney

I define that the tech industry switches in all directions contrary to what people believe as the norm for the new Metaverse. Why spend trillions of dollars on big data when it is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year college degree for a career in database administration when companies can't afford to pay 100k a year? We can manage information stores perfectly fine with google sheets or microsoft excel. I thought that utilizing AI would completely switch off problematics in relationship to Data As A Service when programs are dynamically building hash tables for objects in random access memory, storing them as blockchains Inna virtualized file container ;)." - Jonathan Roy Mckinney

I believe the technology industry is going in a different direction in which one may think about the Metaverse. Why spend trillions of dollars on big data when big data is becoming more useless? We need dynamic content to create a boom in the tech industry for the next millennium. Why hire someone with a 4 year degree in college for a career in database administration when companies can't afford to pay 100k a year? We can manage that quite fine in Google sheets or excel. The creation of AI would then completely defeat the purpose of data as a service when a program can dynamically build meta searcheable objects in random access memory and store them Inna virtualized file container ;)." - Jonathan Roy Mckinney

personal conversation last year, “SQL is the new HTML.” Database management is a core competency of Web 2.0 companies, so much so that we have sometimes referred to these applications as "infoware" rather than merely software. This fact leads to a key question: Who owns the data? In the internet era, one can already see a number of cases where control over the database has led to market control and outsized financial returns. The

By contrast, if you’re trying to learn a complex new skill (say, SQL database management) in a state of low concentration (perhaps you also have your Facebook feed open), you’re firing too many circuits simultaneously and haphazardly to isolate the group of neurons you actually want to strengthen.

Although the REPOSITORY will insert into and delete from the database, it will ordinarily not commit anything. It is tempting to commit after saving, for example, but the client presumably has the context to correctly initiate and commit units of work. Transaction management will be simpler if the REPOSITORY keeps its hands off.

You can find 10-Ks, 10-Qs, and other forms that are required SEC filings on the websites of individual companies and on the SEC’s website. The latter uses a database called EDGAR and contains a tutorial on how to use it.

DevOps practices can be made compatible with ITIL process. However, to support the shorter lead times and higher deployment frequencies associated with DevOps, many areas of the ITIL processes become fully automated, solving many problems associated with the configuration and release management processes (e.g., keeping the configuration management database and definitive software libraries up to date).

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but not in the way it is intended to be.3 For an example of a chain of unintended uses, let us start with Phase One, the computer. The mathematical discipline of combinatorics, here basic science, derived from propositional knowledge, led to the building of computers, or so the story goes. (And, of course, to remind the reader of cherry-picking, we need to take into account the body of theoretical knowledge that went nowhere.) But at first, nobody had an idea what to do with these enormous boxes full of circuits as they were cumbersome, expensive, and their applications were not too widespread, outside of database management, only good to process quantities of data. It is as if one needed to invent an application for the thrill of technology. Baby boomers will remember those mysterious punch cards. Then someone introduced the console to input with the aid of a screen monitor, using a keyboard. This led, of course, to word processing, and the computer took off because of its fitness to word processing, particularly with the microcomputer in the early 1980s. It was convenient, but not much more than that until some other unintended consequence came to be mixed into it. Now Phase Two, the Internet. It had been set up as a resilient military communication network device, developed by a research unit of the Department of Defense called DARPA and got a boost in the days when Ronald Reagan was obsessed with the Soviets. It was meant to allow the United States to survive a generalized military attack. Great idea, but add the personal computer plus Internet and we get social networks, broken marriages, a rise in nerdiness, the ability for a post-Soviet person with social difficulties to find a matching spouse. All that thanks to initial U.S. tax dollars (or rather budget deficit) during Reagan’s anti-Soviet crusade.

Todo.ly is an online to-do list and task manager. The founders had a goal to reach millions of new users and make Todo.ly widely available as a web application. They succeeded in securing a partnership with Google Chrome and were able to leverage their 200 million user database to help them achieve their one-year growth goal in just three weeks: ● 1000% increase in average daily traffic ● 780% increase in user base ● 400,000 new tasks each month The key was that the Chrome platform was brand new and the Todo.ly application was submitted three to four months prior its launch date. As the Todo.ly app was exactly what Google was looking for to add to the Chrome Webstore, they have contacted the founders and asked for an integrated two clicks login through Google OpenID. Todo.ly has implemented that and became featured from day one. There was a huge marketing campaign around the Chrome Webstore, TV spots, prints, and press conference. Peter Varadi, the founder of Todo.ly, shared his advice based on his personal experience: “Look for new waves of technology, new platforms that are expected to be used by a massive number of people and try to be on that platform as one of first.” In Todo. ly case, it was clearly visible that Chrome had 200 million users already and when they launched their webstore, they would obviously put it front of all their users. Google needed web apps to fill their webstore for the launch and they opened the app submission process a few months earlier. That was a timely opportunity for Todo.ly to jump in. What could be your new wave and chance?

Description As one of the high level programming languages, Python is considered a vital feature for data structuring and code readability. Developers need to learn python 1 ,2 & 3 to qualify as experts. It is object-oriented and taps the potential of dynamic semantics. As a scripting format it reduces the costs of maintenance and lesser coding lines due to syntax assembly. Job responsibilities Writing server side applications is one of the dedicated duties of expected from a skilled worker in this field. If you enjoy working backend, then this is an ideal job for you. It involves: · Connecting 3rd party apps · Integrating them with python · Implement low latency apps · Interchange of data between users and servers · Knowledge of front side technologies · Security and data protection and storage Requisites to learn There are several training courses for beginners and advanced sessions for experienced workers. But you need to choose a really good coaching center to get the skills. DVS Technologies is an enabled Python Training in Bangalore is considered as one of the best in India. You will need to be acquainted with: · Integrated management/ development environment to study · A website or coaching institute to gather the knowledge · Install a python on your computer · Code every day to master the process · Become interactive Course details/benefits First select a good Python Training institute in Bangalore which has reputed tutors to help you to grasp the language and scripting process. There are several courses and if you are beginner then you will need to opt for the basic course. Then move on to the next advanced level to gain expertise in the full python stack. As you follow best practices, it will help you to get challenging projects. Key features of certification course and modules · Introduction to (Python) programming · Industry relevant content · Analyze data · Experiment with different techniques · Data Structures Web data access with python · Using database with this program DVS Technology USP: · Hands-on expert instructors: 24-hour training · Self-study videos · Real time project execution · Certification and placements · Flexible schedules · Support and access · Corporate training

Understanding Financial Risks and Companies Mitigate them? Financial risks are the possible threats, losses and debts corporations face during setting up policies and seeking new business opportunities. Financial risks lead to negative implications for the corporations that can lead to loss of financial assets, liabilities and capital. Mitigation of risks and their avoidance in the early stages of product deployment, strategy-planning and other vital phases is top-priority for financial advisors and managers. Here's how to mitigate risks in financial corporates:- ● Keeping track of Business Operations Evaluating existing business operations in the corporations will provide a holistic view of the movement of cash-flows, utilisation of financial assets, and avoiding debts and losses. ● Stocking up Emergency Funds Just as families maintain an emergency fund for dealing with uncertainties, the same goes for large corporates. Coping with uncertainty such as the ongoing pandemic is a valuable lesson that has taught businesses to maintain emergency funds to avoid economic lapses. ● Taking Data-Backed Decisions Senior financial advisors and managers must take well-reformed decisions backed by data insights. Data-based technologies such as data analytics, science, and others provide resourceful insights about various economic activities and help single out the anomalies and avoid risks. Enrolling for a course in finance through a reputed university can help young aspiring financial risk advisors understand different ways of mitigating risks and threats. The IIM risk management course provides meaningful insights into the other risks involved in corporations. What are the Financial Risks Involved in Corporations? Amongst the several roles and responsibilities undertaken by the financial management sector, identifying and analysing the volatile financial risks. Financial risk management is the pinnacle of the financial world and incorporates the following risks:- ● Market Risk Market risk refers to the threats that emerge due to corporational work-flows, operational setup and work-systems. Various financial risks include- an economic recession, interest rate fluctuations, natural calamities and others. Market risks are also known as "systematic risk" and need to be dealt with appropriately. When there are significant changes in market rates, these risks emerge and lead to economic losses. ● Credit Risk Credit risk is amongst the common threats that organisations face in the current financial scenarios. This risk emerges when a corporation provides credit to its borrower, and there are lapses while receiving owned principal and interest. Credit risk arises when a borrower falters to make the payment owed to them. ● Liquidity Risk Liquidity risk crops up when investors, business ventures and large organisations cannot meet their debt compulsions in the short run. Liquidity risk emerges when a particular financial asset, security or economic proposition can't be traded in the market. ● Operational Risk Operational risk arises due to financial losses resulting from employee's mistakes, failures in implementing policies, reforms and other procedures. Key Takeaway The various financial risks discussed above help professionals learn the different risks, threats and losses. Enrolling for a course in finance assists learners understand the different risks. Moreover, pursuing the IIM risk management course can expose professionals to the scope of international financial management in India and other key concepts.

Evictions in the ApproveShield database are refreshed daily from local courts, which means Managers and Operators of multifamily real estate can reduce their underwriting risk by more than 80% with a quick search. ApproveShield currently protects communities in Texas, Atlanta, Florida, South Carolina, and Ohio and is rapidly expanding through the southeast as demand has continued to increase.

Note that master-follower databases are not distributed: every machine has a full copy of the dataset. Master-follower replication is great for scaling up the processing power available for handling read requests, but does nothing to accommodate arbitrarily large datasets. Master-follower replication also provides some resilience against machine failure: in particular, failure of a machine will not result in data loss, since other machines have a full copy of the same dataset.

Complex environments for social interventions and innovations are those in which what to do to solve problems is uncertain and key stakeholders are in conflict about how to proceed. Informed by systems thinking and sensitive to complex nonlinear dynamics, developmental evaluation supports social innovation and adaptive management. Evaluation processes include asking evaluative questions, applying evaluation logic, and gathering realtime data to inform ongoing decision making and adaptations. The evaluator is often part of a development team whose members collaborate to conceptualize, design, and test new approaches in a long-term, ongoing process of continuous development, adaptation, and experimentation, keenly sensitive to unintended results and side effects. The evaluator’s primary function in the team is to infuse team discussions with evaluative questions, thinking, and data, and to facilitate systematic data-based reflection

[...] exhibition designers must be able to manage and work creatively with the digital information that surrounds and exhibition. Increasingly, the assets of a museum will include an electronic database that can be accessed through websites, apps and creative interactive devices within the environs of a gallery interior, in addition to traditional object displays.

Baldwin had compiled a list of known aliases and sent it to the International Air Transport Association. The IATA in turn kindly filtered all of those names through their eTARS database, the names coursing through the Aviation Management Systems Departure Control System, or eDCS, popping up matches that met Baldwin’s parameters. Typical of the overcomplicated governmental structure, it was a fancy way to say they were combing the passenger manifests.

Specific Architectural Topics Is the overall organization of the program clear, including a good architectural overview and justification? Are major building blocks well defined, including their areas of responsibility and their interfaces to other building blocks? Are all the functions listed in the requirements covered sensibly, by neither too many nor too few building blocks? Are the most critical classes described and justified? Is the data design described and justified? Is the database organization and content specified? Are all key business rules identified and their impact on the system described? Is a strategy for the user interface design described? Is the user interface modularized so that changes in it won’t affect the rest of the program? Is a strategy for handling I/O described and justified? Are resource-use estimates and a strategy for resource management described and justified for scarce resources like threads, database connections, handles, network bandwidth, and so on? Are the architecture’s security requirements described? Does the architecture set space and speed budgets for each class, subsystem, or functionality area? Does the architecture describe how scalability will be achieved? Does the architecture address interoperability? Is a strategy for internationalization/localization described? Is a coherent error-handling strategy provided? Is the approach to fault tolerance defined (if any is needed)? Has technical feasibility of all parts of the system been established? Is an approach to overengineering specified? Are necessary buy-vs.-build decisions included? Does the architecture describe how reused code will be made to conform to other architectural objectives? Is the architecture designed to accommodate likely changes? General Architectural Quality Does the architecture account for all the requirements? Is any part overarchitected or underarchitected? Are expectations in this area set out explicitly? Does the whole architecture hang together conceptually? Is the top-level design independent of the machine and language that will be used to implement it? Are the motivations for all major decisions provided? Are you, as a programmer who will implement the system, comfortable with the architecture?

Across the country, poor and working-class people are targeted by new tools of digital poverty management and face life-threatening consequences as a result. Automated eligibility systems discourage them from claiming public resources that they need to survive and thrive. Complex integrated databases collect their most personal information, with few safeguards for privacy or data security, while offering almost nothing in return. Predictive models and algorithms tag them as risky investments and problematic parents. Vast complexes of social service, law enforcement, and neighborhood surveillance make their every move visible and offer up their behavior for government, commercial, and public scrutiny