Database Best Quotes

Um…” Simon started slowly “at the risk of stating the obvious I feel I have to point out that Interpol has the worldʼs best database of international criminals.” “Thatʼs the idea ” Gabrielle said with a nod. “And I feel compelled to remind you that weʼre international criminals ” he finished but Kat was already smiling. “Donʼt worry Simon. Itʼs not like anyone in there knows it was a bunch of teenagers who robbed the Henley.

I think the best life would be one that's lived off the grid. No bills, your name in no government databases. No real proof you're even who you say you are, aside from, you know, being who you say you are. I don't mean living in a mountain hut with solar power and drinking well water. I think nature's beautiful and all, but I don't have any desire to live in it. I need to live in a city. I need pay as you go cell phones in fake names, wireless access stolen or borrowed from coffee shops and people using old or no encryption on their home networks. Taking knife fighting classes on the weekend! Learning Cantonese and Hindi and how to pick locks. Getting all sorts of skills so that when your mind starts going, and you're a crazy raving bum, at least you're picking their pockets while raving in a foreign language at smug college kids on the street. At least you're always gonna be able to eat.

Life is Beautiful? Beyond all the vicissitudes that are presented to us on this short path within this wild planet, we can say that life is beautiful. No one can ever deny that experiencing the whirlwind of emotions inside this body is a marvel, we grow with these life experiences, we strengthen ourselves and stimulate our feelings every day, in this race where the goal is imminent death sometimes we are winners and many other times we lose and the darkness surprises us and our heart is disconnected from this reality halfway and connects us to the server of the matrix once more, debugging and updating our database, erasing all those experiences within this caracara of flesh and blood, waiting to return to earth again. "Life is beautiful gentlemen" is cruel and has unfair behavior about people who looked like a bundle of light and left this platform for no apparent reason, but its nature is not similar to our consciousness and feelings, she has a script for each of us because it was programmed that way, the architects of the game of life they know perfectly well that you must experiment with all the feelings, all the emotions and evolve to go to the next levels. You can't take a quantum leap and get through the game on your own. inventing a heaven and a hell in order to transcend, that comes from our fears of our imagination not knowing what life has in store for us after life is a dilemma "rather said" the best kept secret of those who control us day by day. We are born, we grow up, we are indoctrinated in the classrooms and in the jobs, we pay our taxes, we reproduce, we enjoy the material goods that it offers us the system the marketing of disinformation, Then we get old, get sick and die. I don't like this story! It looks like a parody of Noam Chomsky, Let's go back to the beautiful description of beautiful life, it sounds better! Let's find meaning in all the nonsense that life offers us, 'Cause one way or another we're doomed to imagine that everything will be fine until the end of matter. It is almost always like that. Sometimes life becomes a real nightmare. A heartbreaking horror that we find impossible to overcome. As we grow up, we learn to know the dark side of life. The terrors that lurk in the shadows, the dangers lurking around every corner. We realize that reality is much harsher and ruthless than we ever imagined. And in those moments, when life becomes a real hell, we can do nothing but cling to our own existence, summon all our might and fight with all our might so as not to be dragged into the abyss. But sometimes, even fighting with all our might is not enough. Sometimes fate is cruel and takes away everything we care about, leaving us with nothing but pain and hopelessness. And in that moment, when all seems lost, we realize the terrible truth: life is a death trap, a macabre game in which we are doomed to lose. And so, as we sink deeper and deeper into the abyss, while the shadows envelop us and terror paralyzes us, we remember the words that once seemed to us so hopeful: life is beautiful. A cruel and heartless lie, that leads us directly to the tragic end that death always awaits us.

An imaginary circle of empathy is drawn by each person. It circumscribes the person at some distance, and corresponds to those things in the world that deserve empathy. I like the term "empathy" because it has spiritual overtones. A term like "sympathy" or "allegiance" might be more precise, but I want the chosen term to be slightly mystical, to suggest that we might not be able to fully understand what goes on between us and others, that we should leave open the possibility that the relationship can't be represented in a digital database. If someone falls within your circle of empathy, you wouldn't want to see him or her killed. Something that is clearly outside the circle is fair game. For instance, most people would place all other people within the circle, but most of us are willing to see bacteria killed when we brush our teeth, and certainly don't worry when we see an inanimate rock tossed aside to keep a trail clear. The tricky part is that some entities reside close to the edge of the circle. The deepest controversies often involve whether something or someone should lie just inside or just outside the circle. For instance, the idea of slavery depends on the placement of the slave outside the circle, to make some people nonhuman. Widening the circle to include all people and end slavery has been one of the epic strands of the human story - and it isn't quite over yet. A great many other controversies fit well in the model. The fight over abortion asks whether a fetus or embryo should be in the circle or not, and the animal rights debate asks the same about animals. When you change the contents of your circle, you change your conception of yourself. The center of the circle shifts as its perimeter is changed. The liberal impulse is to expand the circle, while conservatives tend to want to restrain or even contract the circle. Empathy Inflation and Metaphysical Ambiguity Are there any legitimate reasons not to expand the circle as much as possible? There are. To expand the circle indefinitely can lead to oppression, because the rights of potential entities (as perceived by only some people) can conflict with the rights of indisputably real people. An obvious example of this is found in the abortion debate. If outlawing abortions did not involve commandeering control of the bodies of other people (pregnant women, in this case), then there wouldn't be much controversy. We would find an easy accommodation. Empathy inflation can also lead to the lesser, but still substantial, evils of incompetence, trivialization, dishonesty, and narcissism. You cannot live, for example, without killing bacteria. Wouldn't you be projecting your own fantasies on single-cell organisms that would be indifferent to them at best? Doesn't it really become about you instead of the cause at that point?

The Joel Test 1. Do you use source control? 2. Can you make a build in one step? 3. Do you make daily builds? 4. Do you have a bug database? 5. Do you fix bugs before writing new code? 6. Do you have an up-to-date schedule? 7. Do you have a spec? 8. Do programmers have quiet working conditions? 9. Do you use the best tools money can buy? 10. Do you have testers? 11. Do new candidates write code during their interview? 12. Do you do hallway usability testing?

We’ve seen entire companies purchased for millions of dollars solely for their database of leads and customers.

Since it is all based on statistics, the size of the company's database is the key to make accurate predictions. Hence the first company to build a giant genetic database will provide customers with the best predictions, and will potentially corner the market. US biotech companies are increasingly worried that strict privacy laws in the USA combined with Chinese disregard for individual privacy may hand China the genetic market on a plate.

ultimately, most of us would choose a rich and meaningful life over an empty, happy one, if such a thing is even possible. “Misery serves a purpose,” says psychologist David Myers. He’s right. Misery alerts us to dangers. It’s what spurs our imagination. As Iceland proves, misery has its own tasty appeal. A headline on the BBC’s website caught my eye the other day. It read: “Dirt Exposure Boosts Happiness.” Researchers at Bristol University in Britain treated lung-cancer patients with “friendly” bacteria found in soil, otherwise known as dirt. The patients reported feeling happier and had an improved quality of life. The research, while far from conclusive, points to an essential truth: We thrive on messiness. “The good life . . . cannot be mere indulgence. It must contain a measure of grit and truth,” observed geographer Yi-Fu Tuan. Tuan is the great unheralded geographer of our time and a man whose writing has accompanied me throughout my journeys. He called one chapter of his autobiography “Salvation by Geography.” The title is tongue-in-cheek, but only slightly, for geography can be our salvation. We are shaped by our environment and, if you take this Taoist belief one step further, you might say we are our environment. Out there. In here. No difference. Viewed that way, life seems a lot less lonely. The word “utopia” has two meanings. It means both “good place” and “nowhere.” That’s the way it should be. The happiest places, I think, are the ones that reside just this side of paradise. The perfect person would be insufferable to live with; likewise, we wouldn’t want to live in the perfect place, either. “A lifetime of happiness! No man could bear it: It would be hell on Earth,” wrote George Bernard Shaw, in his play Man and Superman. Ruut Veenhoven, keeper of the database, got it right when he said: “Happiness requires livable conditions, but not paradise.” We humans are imminently adaptable. We survived an Ice Age. We can survive anything. We find happiness in a variety of places and, as the residents of frumpy Slough demonstrated, places can change. Any atlas of bliss must be etched in pencil. My passport is tucked into my desk drawer again. I am relearning the pleasures of home. The simple joys of waking up in the same bed each morning. The pleasant realization that familiarity breeds contentment and not only contempt. Every now and then, though, my travels resurface and in unexpected ways. My iPod crashed the other day. I lost my entire music collection, nearly two thousand songs. In the past, I would have gone through the roof with rage. This time, though, my anger dissipated like a summer thunderstorm and, to my surprise, I found the Thai words mai pen lai on my lips. Never mind. Let it go. I am more aware of the corrosive nature of envy and try my best to squelch it before it grows. I don’t take my failures quite so hard anymore. I see beauty in a dark winter sky. I can recognize a genuine smile from twenty yards. I have a newfound appreciation for fresh fruits and vegetables. Of all the places I visited, of all the people I met, one keeps coming back to me again and again: Karma Ura,

Oath of Non-Harm for an Age of Big Data I swear to fulfill, to the best of my ability, the following covenant: I will respect all people for their integrity and wisdom, understanding that they are experts in their own lives, and will gladly share with them all the benefits of my knowledge. I will use my skills and resources to create bridges for human potential, not barriers. I will create tools that remove obstacles between resources and the people who need them. I will not use my technical knowledge to compound the disadvantage created by historic patterns of racism, classism, able-ism, sexism, homophobia, xenophobia, transphobia, religious intolerance, and other forms of oppression. I will design with history in mind. To ignore a four-century-long pattern of punishing the poor is to be complicit in the “unintended” but terribly predictable consequences that arise when equity and good intentions are assumed as initial conditions. I will integrate systems for the needs of people, not data. I will choose system integration as a mechanism to attain human needs, not to facilitate ubiquitous surveillance. I will not collect data for data’s sake, nor keep it just because I can. When informed consent and design convenience come into conflict, informed consent will always prevail. I will design no data-based system that overturns an established legal right of the poor. I will remember that the technologies I design are not aimed at data points, probabilities, or patterns, but at human beings.

When the National Transportation Safety Board analyzed its database of major flight accidents, it found that 73 percent occurred on a flight crew’s first day working together. Like surgeries and putts, the best flight is one in which everything goes according to routines long understood and optimized by everyone involved, with no surprises. When the path is unclear—a game of Martian tennis—those same routines no longer suffice. “Some tools work fantastically in certain situations, advancing technology in smaller but important ways, and those tools are well known and well practiced,” Andy Ouderkirk told me. “Those same tools will also pull you away from a breakthrough innovation. In fact, they’ll turn a breakthrough innovation into an incremental one.

The best way to figure out what Perl is used for is to look at the ... Comprehensive Perl Archive Network (the CPAN, for short). ... [Y]ou'll get the impression that Perl has interfaces to almost everything in the world. With a little thought, you may figure out the reason Perl has interfaces to everything is not so much so Perl itself can talk to everything, but so Perl can get everything in the world talking to everything else in the world. The combinatorics are staggering. The very first issue of The Perl Journal ... contained an article entitled 'How Perl Saved the Human Genome Project'. It explains how all the different genome sequencing laboratories used different databases with different formats, and how Perl was used to massage the data into a cohesive whole.

1. No cold calling. Ever. You should attempt to sell only to warm leads. 2. Before you try to sell anything, you must know how much you’re willing to pay to get a new customer. 3. A prospect who “finds” you first is more likely to buy from you than if you find him. 4. You will dramatically enhance your credibility as a salesperson by authoring, speaking, and publishing quality information. 5. Generate leads with information about solving problems, not information about the product itself. 6. You can attain the best negotiating position with customers only when your marketing generates “deal flow” that exceeds your capacity. 7. The most valuable asset you can own is a well-maintained customer database, because people who’ve already bought from you are way easier to sell to than strangers.

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.

Mr. Sulu,” Jim said, “I can’t avoid the impression that you’re counting all the asteroids in this neighborhood.” “Not counting them as such, Captain. We’re building a recognition database, tagging the asteroids with nominal IDs, and noting their masses for future reference. If you know an asteroid’s mass within a couple of significant figures, you can very quickly calculate what kind of forces would need to be applied to it to make it move. Once Khiy and I get them all tagged, or all the ones in this area, we can get the ship’s computer to alert us when an enemy vessel is getting close enough for one of the asteroids to be a threat. Then either Bloodwing or Enterprise gives the necessary rock a pull with a tractor or a push with a pressor …” Jim grinned. In slower-than-light combat, the lightspeedor-faster weapons came into their own, as long as you kept away from the higher, near-relativistic impulse speeds. “You’re concentrating on the asteroids nearer to the processing facility, I see.” “Yes, sir—a sphere about a hundred thousand kilometers in diameter, including almost the entire breadth of the belt in this area. Any ship outside that diameter isn’t going to be a threat to us at subwarp speeds. If they want to engage with us, they’ve got to drop their speed and come inside the sphere.” “‘Come into my parlor, said the spider to the fly…’” Jim said. “Get on with it, Mr. Sulu. In a situation like this, every little bit helps. Are you going to be able to have this ready by the time the ‘flies’ arrive?” “We’ll do our best, Captain. There are some inconsistencies between the ways Bloodwing’s computer handles large amounts of data like this, and the way ours does. We’ve got to solve them on the fly.” And Sulu chuckled.

As an example of the use of technology in the democratic process, I visualize an election scenario where a candidate files his nomination from a particular constituency. Immediately, the election officer verifies the authenticity from the national citizen ID database through a multipurpose citizen ID card. The candidate’s civic consciousness and citizenship behaviour can also be accessed through the police crime records. The property records come from land registration authorities across the country. Income and wealth resources come from the income tax department, as well as other sources. The person’s education credentials come from his university records. The track record of employment comes from various employers with whom he has worked. The credit history comes from various credit institutions like banks. The person’s legal track records come from the judicial system. All the details arrive at the computer terminal of the election officer within a few minutes through the e-governance software, which would track various state and central government web services directories through the network and collect the information quickly and automatically and present facts in real-time without any bias. An artificial intelligence software would analyse the candidate’s credentials and give a rating on how successful that person would be as a politician. The election officer can then make an informed choice and start the electoral processes.

When you launch an AWS resource like an Amazon EC2 instance or Amazon Relational Database (Amazon RDS) DB instance, you start with a default configuration. You can then execute automated bootstrapping actions. That is, scripts that install software or copy data to bring that resource to a particular state.

Hofstede argued, for example, that cultures can be usefully distinguished according to how much they expect individuals to look after themselves. He called that measurement the “individualism-collectivism scale.” The country that scores highest on the individualism end of that scale is the United States. Not surprisingly, the United States is also the only industrialized country in the world that does not provide its citizens with universal health care. At the opposite end of the scale is Guatemala. Another of Hofstede’s dimensions is “uncertainty avoidance.” How well does a culture tolerate ambiguity? Here are the top five “uncertainty avoidance” countries, according to Hofstede’s database—that is, the countries most reliant on rules and plans and most likely to stick to procedure regardless of circumstances: Greece Portugal Guatemala Uruguay Belgium The bottom five—that is, the cultures best able to tolerate ambiguity—are: 49. Hong Kong 50. Sweden 51. Denmark 52. Jamaica 53. Singapore

there were also intellectual reasons to investigate and try to understand his cancer. Steve’s particular kind of tumor is a rare one. According to the National Cancer Institute (NCI), only about one thousand cases a year are discovered in the United States. As a result, research on pancreatic islet cell neuroendocrine carcinomas is not buttressed by the kind of massive database available to doctors studying breast or lung cancer, to cite two more common forms, or even other forms of cancer of the pancreas. (His own oncologist/surgeon admitted to me privately that not enough was known at that time to determine statistically what the best treatment should be—surgery, chemotherapy, radiation therapy, something else, or a combination of treatments.) So Steve’s indecision about what to do was not completely off-base.

Include every person you can think of. EVERY person. It doesn’t matter if you think they are a prospect or not. Your database will be one of your most important assets. Everyone goes on the list. If they are negative, put them on your list. If you hate them, put them on your list. If they are your best friend, put them on your list. If they’ve said, “I’ll never be involved in Network Marketing,” put them on your list. If they’re 98 years old, put them on your list. If they’re 18 years old, put them on your list.

Here’s something you may not know: every time you go to Facebook or ESPN.com or wherever, you’re unleashing a mad scramble of money, data, and pixels that involves undersea fiber-optic cables, the world’s best database technologies, and everything that is known about you by greedy strangers. Every. Single. Time. The magic of how this happens is called “real-time bidding” (RTB) exchanges, and we’ll get into the technical details before long. For now, imagine that every time you go to CNN.com, it’s as though a new sell order for one share in your brain is transmitted to a stock exchange. Picture it: individual quanta of human attention sold, bit by bit, like so many million shares of General Motors stock, billions of times a day. Remember Spear, Leeds & Kellogg, Goldman Sachs’s old-school brokerage acquisition, and its disappearing (or disappeared) traders? The company went from hundreds of traders and two programmers to twenty programmers and two traders in a few years. That same process was just starting in the media world circa 2009, and is right now, in 2016, kicking into high gear. As part of that shift, one of the final paroxysms of wasted effort at Adchemy was taking place precisely in the RTB space. An engineer named Matthew McEachen, one of Adchemy’s best, and I built an RTB bidding engine that talked to Google’s huge ad exchange, the figurative New York Stock Exchange of media, and submitted bids and ads at speeds of upwards of one hundred thousand requests per second. We had been ordered to do so only to feed some bullshit line Murthy was laying on potential partners that we were a real-time ads-buying company. Like so much at Adchemy, that technology would be a throwaway, but the knowledge I gained there, from poring over Google’s RTB technical documentation and passing Google’s merciless integration tests with our code, would set me light-years ahead of the clueless product team at Facebook years later.

In ordinary times—times here understood to mean whole geologic epochs—extinction takes place only very rarely, more rarely even than speciation, and it occurs at what’s known as the background extinction rate. This rate varies from one group of organisms to another; often it’s expressed in terms of extinctions per million species-years. Calculating the background extinction rate is a laborious task that entails combing through whole databases’ worth of fossils. For what’s probably the best-studied group, which is mammals, it’s been reckoned to be roughly .25 million species-years. This means that, since there are about fifty-five hundred mammal species wandering around today, at the background extinction rate you’d expect—once again very roughly—one species to disappear every seven hundred years.

In terms of antioxidant bang for your buck, açai berries get honorable mention, beating out other superstars, such as walnuts, apples, and cranberries. The bronze for best bargain, though, goes to cloves, the silver to cinnamon, and the gold for most antioxidants per dollar—according to a USDA database of common foods—goes to purple cabbage.24 Açai

Princeton University mathematician York Dobyns found that the seven years of new PEAR RNG results closely replicated the preceding three decades of RNG studies reviewed in the meta-analysis.37 That is, our 1989 prediction had been validated. Because the massive PEAR database provides an exceptionally strong confirmation that mind-matter interactions really do exist, we can confidently use it to study some of the factors influencing these effects. Psychologist Roger Nelson and his colleagues found that the main RNG effect for the full PEAR database of 1,262 independent experiments, generated by 108 people, was associated with odds against chance of four thou sand to one.38 He also found that there were no “star” performers—this means that the overall effect reflected an accumulation of small effects from each person rather than a few outstanding results from “special people.” This finding confirms the expectation that mind-matter interaction effects observed in the hundreds of studies collected in the 1989 RNG meta-analysis were part of a widespread ability distributed throughout the population, and were not due to a few psychic “superstars” or a few odd experiments. Further analysis of the PEAR data showed that the results in individual trials were best interpreted as small changes in the probabilities of individual random events rather than as a few instances of wildly large effects. This means that the results cannot be explained by unexpected glitches in the RNG devices, or by strange circumstances in the lab (like a circuit breakdown). Rather, the effects were small but consistent across individual trials, and across different people.39 If we accept that one person can affect the behavior of an RNG, another question naturally arises: would two people together produce a larger effect? The PEAR database included some experiments where cooperating pairs used the same mental intention on the same RNG. Analysis of these data found that, on average, the effects were indeed larger for pairs than for individuals working alone. However, two people didn’t automatically get results that were twice as large as one person’s results. Instead, the composition of the pairs was important in determining the outcome. Same-sex pairs, whether men or women, tended to achieve null or slightly negative outcomes, whereas opposite-sex pairs produced an effect that was approximately twice that of individuals. Moreover, when the pair was a “bonded” couple, such as spouses or close family members, the effect size was more than four times that of individuals.

Princeton University mathematician York Dobyns found that the seven years of new PEAR RNG results closely replicated the preceding three decades of RNG studies reviewed in the meta-analysis.37 That is, our 1989 prediction had been validated. Because the massive PEAR database provides an exceptionally strong confirmation that mind-matter interactions really do exist, we can confidently use it to study some of the factors influencing these effects. Psychologist Roger Nelson and his colleagues found that the main RNG effect for the full PEAR database of 1,262 independent experiments, generated by 108 people, was associated with odds against chance of four thou sand to one.38 He also found that there were no “star” performers—this means that the overall effect reflected an accumulation of small effects from each person rather than a few outstanding results from “special people.” This finding confirms the expectation that mind-matter interaction effects observed in the hundreds of studies collected in the 1989 RNG meta-analysis were part of a widespread ability distributed throughout the population, and were not due to a few psychic “superstars” or a few odd experiments. Further analysis of the PEAR data showed that the results in individual trials were best interpreted as small changes in the probabilities of individual random events rather than as a few instances of wildly large effects. This means that the results cannot be explained by unexpected glitches in the RNG devices, or by strange circumstances in the lab (like a circuit breakdown). Rather, the effects were small but consistent across individual trials, and across different people.39 If we accept that one person can affect the behavior of an RNG, another question naturally arises: would two people together produce a larger effect? The PEAR database included some experiments where cooperating pairs used the same mental intention on the same RNG. Analysis of these data found that, on average, the effects were indeed larger for pairs than for individuals working alone. However, two people didn’t automatically get results that were twice as large as one person’s results. Instead, the composition of the pairs was important in determining the outcome. Same-sex pairs, whether men or women, tended to achieve null or slightly negative outcomes, whereas opposite-sex pairs produced an effect that was approximately twice that of individuals. Moreover, when the pair was a “bonded” couple, such as spouses or close family members, the effect size was more than four times that of individuals. There were also some gender differences. PEAR lab psychologist Brenda Dunne found that women tended to volunteer more time to the experiments, and thus they accumulated about two-thirds of the full database, compared with one-third for men. On the other hand, their effects were smaller on average than those of men, with odds of the difference being due to chance at eight hundred to one.

I was marketing a database called DB2. DB2 was best known as the leading database platform on a mainframe (that’s what we used to call giant, powerful computers back in the olden days).

A best-seller and a neverseller are just two entries in a database; equal in the eyes of technology and the economics of storage.

No sequence In a relational database, sequences are usually used to generate unique values for a surrogate key. Cassandra has no sequences because it is extremely difficult to implement in a peer-to-peer distributed system. There are however workarounds, which are as follows: Using part of the data to generate a unique key Using a UUID In most cases, the best practice is to select the second workaround.

Summary Gaining insight from massive and growing datasets, such as those generated by large organizations, requires specialized technologies for each step in the data analysis process. Once organizational data is cleaned, merged, and shaped into the form desired, the process of asking questions about data is often an iterative one. MapReduce frameworks, such as the open-source Apache Hadoop project, are flexible platforms for the economical processing of large amounts of data using a collection of commodity machines. Although it is often the best choice for large batch-processing operations, MapReduce is not always the ideal solution for quickly running iterative queries over large datasets. MapReduce can require a great deal of disk I/O, a great deal of administration, and multiple steps to return the result of a single query. Waiting for results to complete makes iterative, ad hoc analysis difficult. Analytical databases

THE SEVEN CARDINAL RULES OF THE 80/20 SALES PRO These are the seven cardinal rules of the 80/20 sales professional: 1. No cold calling. Ever. You should attempt to sell only to warm leads. 2. Before you try to sell anything, you must know how much you’re willing to pay to get a new customer. 3. A prospect who “finds” you first is more likely to buy from you than if you find him. 4. You will dramatically enhance your credibility as a salesperson by authoring, speaking, and publishing quality information. 5. Generate leads with information about solving problems, not information about the product itself. 6. You can attain the best negotiating position with customers only when your marketing generates “deal flow” that exceeds your capacity. 7. The most valuable asset you can own is a well-maintained customer database, because people who’ve already bought from you are way easier to sell to than strangers.

Jesus. Chicago, Kansas City, Denver, Phoenix, L.A., and Seattle, plus two small towns she'd never heard of in the Gulf Coast region. The unit was literally scattered across the map, manpower and resources spread thinner than she'd ever known them to be. And every team was involved in high-risk operations ranging from murder to possible terrorist threats-the latter being investigations the unit had only recently begun to be called into as consultants. As far as Riley could tell, she was the only agent operating without a team, partner, or any kind of backup. But then, she was also the only one who had set off on a very unofficial investigation of a few oddities-not murder or any other major crime. Then. Now the situation was definitely high-risk. And being on her own here now was both a very bad idea, and seemingly unavoidable. Unless she bailed. Returned to Quantico. Nobody would blame her for that, not under the circumstances. Hell, when-if-she told Bishop about this latest wrinkle, he'd undoubtedly recall her without even allowing her time to pack. Riley realized she was fingering the burn at the base of her skull. She forced herself to stop, swore under her breath, and disconnected from the SCU's database. She couldn't bail. Couldn't leave. She had to know. Had to figure out what was going on. "Let's pretend," she whispered. She could do that. It's what she did best, after all. Pretend. Pretend everything was normal. Pretend there was nothing wrong with her. Pretend she wasn't terrified.

The best technique for improving performance in your database is to use indexes well.

Well,” I said pleasantly, “if you know a way to make a database hurry up, I’m sure we’d all love to hear it.” “Goddamn it, you’re not even trying!” she said. I will freely admit that nine times out of ten, I would have had a little more patience with Deborah’s patently impossible request and rotten attitude. But with things as they were lately, I really didn’t want to knuckle my forehead and leap into worshipful compliance. I took a deep breath instead and spoke with audible patience and steely control. “Deborah. I am doing my job the best I can. If you think you can do it better, then please feel free to try.” She ground her teeth even harder, and for a moment I thought the canines might splinter and burst through her cheeks. But happily for her dental bill, they did not. She just glared at me instead, and then nodded her head twice, very hard. “All right,” she said. And then she turned around and walked rapidly away without even looking back at me to snarl one last time. I sighed. Perhaps I should have stayed home in bed, or at least checked my horoscope. Nothing seemed to be going right. The whole world was slightly off-kilter, leaning just a bit out of its normal axis. It had a strange and mean tint to it, too, as if it had sniffed out my fragile mood and was probing for further weakness. Ah,

Another recent study, this one on academic research, provides real-world evidence of the way the tools we use to sift information online influence our mental habits and frame our thinking. James Evans, a sociologist at the University of Chicago, assembled an enormous database on 34 million scholarly articles published in academic journals from 1945 through 2005. He analyzed the citations included in the articles to see if patterns of citation, and hence of research, have changed as journals have shifted from being printed on paper to being published online. Considering how much easier it is to search digital text than printed text, the common assumption has been that making journals available on the Net would significantly broaden the scope of scholarly research, leading to a much more diverse set of citations. But that’s not at all what Evans discovered. As more journals moved online, scholars actually cited fewer articles than they had before. And as old issues of printed journals were digitized and uploaded to the Web, scholars cited more recent articles with increasing frequency. A broadening of available information led, as Evans described it, to a “narrowing of science and scholarship.”31 In explaining the counterintuitive findings in a 2008 Science article, Evans noted that automated information-filtering tools, such as search engines, tend to serve as amplifiers of popularity, quickly establishing and then continually reinforcing a consensus about what information is important and what isn’t. The ease of following hyperlinks, moreover, leads online researchers to “bypass many of the marginally related articles that print researchers” would routinely skim as they flipped through the pages of a journal or a book. The quicker that scholars are able to “find prevailing opinion,” wrote Evans, the more likely they are “to follow it, leading to more citations referencing fewer articles.” Though much less efficient than searching the Web, old-fashioned library research probably served to widen scholars’ horizons: “By drawing researchers through unrelated articles, print browsing and perusal may have facilitated broader comparisons and led researchers into the past.”32 The easy way may not always be the best way, but the easy way is the way our computers and search engines encourage us to take.

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Allison was obsessed with finding the person responsible. She scoured missing-children databases and even had Google alerts set up on her phone notifying her when a new missing-child case occurred. It reminded me of what she’d been like in law school. Sometimes I thought she missed it, though she’d never admit it, since she swore staying at home with her boys was the best job she’d ever had.

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

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To do index arbitrage, PNP developed techniques in the mid-1980s for finding baskets of stocks that did a particularly good job of tracking an index. We used this very profitably the day after “Black Monday,” October 19, 1987, to capture a spread of over 10 percent between the S&P 500 Index and the futures contracts on it. Quants have honed this to a fine art and, through their trading, generally keep the price discrepancy very small. To cut taxes, start with a tracking basket and, each time a stock drops, say, 10 percent, sell the loser and reinvest the proceeds in another stock or stocks chosen so the new basket continues to track well. If you want only short-term losses, which is usually best, sell within a year of purchase. I advise anyone considering doing this in a serious way to study it first with simulations using historical databases.

Read replicas This technique follows a master-slave architecture. Here, database tables are distributed across different sets of nodes, of which some are known as slaves and one as master. Master node handles write queries while read queries are routed to slave nodes. The model works best if data changes are limited but read queries are large. To handle an unexpected scenario like a master failure, one of the slave nodes can be elevated to the master node. The pattern works well to scale out read queries

Crunchbase may be some of the best money I’ve ever spent. It’s a database of, theoretically, every round of

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There are five project types that are not fat-tailed. That means they may come in somewhat late or over budget but it’s very unlikely that they will go disastrously wrong. The fortunate five? They are solar power, wind power, fossil thermal power (power plants that generate electricity by burning fossil fuels), electricity transmission, and roads. In fact, the best-performing project types in my entire database, by a comfortable margin, are wind and solar power.

When the clock is ticking, the best thin-slicers tap into a personal database of experience that allows them to spot familiar patterns, pitfalls, and possibilities in a problem. While novices get bogged down gathering and parsing irrelevant information, running up blind alleys and analyzing doomed courses of action, experts cut straight to the chase, zeroing in on the key data and then leaping to the best solution.

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Kevin Kelly: When Garry Kasparov lost to Deep Blue he complained to the organizers, saying, “Look, Deep Blue had access to this database of every single chess move that was ever done. If I had access to that same database in real time, I could have beat Deep Blue.” So he said, “I want to make a whole new chess league where you can play as a human with access to that database.” And it’s kind of like free martial arts, where you could play anywhere, you could play as a human with access, you could play it as a human alone or you could play just as an AI alone. And he called that combination of the AI and the human, he called that a centaur. That team was a centaur, and in the last four years, the world’s best chess player on the planet is not an AI, it’s not a human, it’s a centaur, it’s a team.

Rick Scott, the governor-elect, decided to shut down the state Office of Drug Control and signed an executive order on the day of his inauguration that froze “all new regulations,” which meant that rigorous new pain clinic standards created by the Board of Medicine were shelved. Then, everyone was astonished when the new governor cut funding to the state’s long-awaited prescription drug database. Police, fellow Republicans, and the White House drug czar, among others, urged Scott to reconsider. The database was an ounce of prevention, they said, the best way to keep tabs on excessive prescribing. As Broward County sheriff Al Lamberti put it: “We cannot arrest our way out of this problem.” Even pain medicine groups were stunned by Scott’s move.

the fundamental incompatibility between Exponential’s goals and hers. They want something that responds like a person, but isn’t owed the same obligations as a person, and that’s something she can’t give them. No one can give it to them, because it’s an impossibility. The years she spent raising Jax didn’t just make him fun to talk to, didn’t just provide him with hobbies and a sense of humor. They were what gave him all the attributes Exponential is looking for: fluency at navigating the real world, creativity at solving new problems, judgment you could entrust with an important decision. Every quality that made a person more valuable than a database was a product of experience. She wants to tell them that Blue Gamma was more right than it knew: experience isn’t merely the best teacher; it’s the only teacher.

Here is a quote from marketingcharts.com in January 2013, referring to a recent research campaign into the best converting online marketing techniques. “The study, which examined more than 62 million visits, 215 million page views and 350,000 leads from more than 600 small- and medium-sized B2B websites during 2012, found email’s conversion rate to be 81% higher than the average (2.89% vs. 1.6%) and 42% higher than the next-best performer, referrals (2.04%). “Paid search (1.96%) also had an above-average conversion rate, with direct traffic (1.64%) closer to the mean. Organic search (1.45%) and social media (1.22%) were the lowest-rated in this regard.” It is believed that a database of 10,000 emails is worth more than $100,000 a year to your business, so the sooner you start collecting, the better.

think it’s best for Raj to do as he suggested, continue getting the database populated with at least the Great Gallery stones, and then if we haven’t found the key yet, maybe those in the inner passageways, and possibly the chambers. But the Great Gallery is intriguing. It’s another anomaly. No other pyramid that I know of has one. I think it’s another attention-getter.” “You could be right, but what about the language?” “I already said it. We need a linguist. Let’s talk to Mark, see if he knows anyone.