Top 41 Databases Quotes & Sayings

Every air traveler entering Mexico is vetted against US databases. The air passenger screening system Mexico has in place involves these checks against US national security and criminal data bases. There are plainclothes US officers stationed at airports in Mexico working with Mexican immigration officials to protect the United States. This joint security program has been in place for at least six years and is a huge asset.

You go to a theater, you're in a darkened room, and you watch someone that you don't really know how many children they have or what their father's nickname might be; you don't have references and databases and rumors and half-truths - you're just transported by their storytelling.

The fact is that proprietary databases don't work for such basic and broadly needed information as the sequence of the human genome.

Curating our data is valuable. Like 23andMe - while selling us the chance to know whether we're Vikings or whatever, they're amassing these huge DNA databases that are unimaginably valuable. Get people to pay you to add their DNA to this database. Genius!

It is fitting that yesteryear's swashbuckling newspaper reporter has turned into today's solemn young sobersides nursing a glass of watered white wine after a day of toiling over computer databases in a smoke-free, noise-free newsroom.

The reason why there is more pessimism about technology in Europe has to do with history, the use of databases to keep track of people in the camps, ecological disasters.

The security of computers and the Internet is a horrible and dangerous mess. Every week we hear about breaches of databases of Social Security numbers and financial information and health records, and about critical infrastructure being insecure.

The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big-data evangelists avoid taking a hard look at the weaknesses.

SAP is a great company, but they have their work cut out for them if they want to compete in databases.

Because there are now online databases of federally funded research, and these databases are searchable by keyword, sex researchers have to be careful how they title their projects. It's become a simple matter, for those who are so inclined, to find and target researchers whose work they object to on religious grounds.

As you study computer science you develop this wonderful mental acumen, particularly with relational databases, systems analysis, and artificial intelligence.

We also know that ISIS is recruiting who are not in those databases. So of course, we're going to miss them. And then we now learn that DHS says, "No, we can't check their social media."

We need to take information, wherever it is stored, make our copies and share them with the world. We need to take stuff that's out of copyright and add it to the archive. We need to buy secret databases and put them on the Web. We need to download scientific journals and upload them to file sharing networks... With enough of us, around the world, we’ll not just send a strong message opposing the privatization of knowledge - we’ll make it a thing of the past. Will you join us?

It's fascinating as we continue to innovate and lead the way in both the application space and the database space. In the very beginning, people said you couldn't make relational databases fast enough to be commercially viable. I thought we could, and we were the first to do it. But we took tremendous abuse until IBM said, "Oh yeah, this stuff is good."

We're not advertisement-driven, so we don't need personal databases.

Ionizing radiation may well be the most important single cause of cancer, birth defects, and genetic disorders... The stakes for human health are very, very high in radiation matters. It is essential that people take no chance that conflict-of-interest is producing radiation databases which...cannot be trusted.

Ultimately, taxpayers deserve a government that leverages technology to serve them, rather than one that deploys unsecure, decades old technology, and keeps sensitive information in non-encrypted databases.

I work with the Oxford Dictionary databases, which sounds really boring, but they're actually fascinating as they show you how current words are being used.

If an NSA, FBI, CIA, DIA, etc analyst has access to query raw SIGINT databases, they can enter and get results for anything they want. Phone number, email, user id, cell phone handset id (IMEI), and so on - it's all the same.

U.S. computer networks and databases are under daily cyber attack by nation states, international crime organizations, subnational groups, and individual hackers.

The 'Total Information Awareness' project is truly diabolical - mostly because of the legal changes which have made it possible in the first place. As a consequence of the Patriot Act, government now has access to all sorts of private and commercial databases that were previously off limits.

That is really not much different from the search engines that are being constructed today for users throughout the entire world to allow them to search through databases to access the information that they require.

Learning happens in the minds and souls, not in the databases of multiple-choice tests.

I got a call from the Lib Dems. They wanted to upgrade their databases and voter targeting. So, I combined working for them with studying for my degree.

Having been blacklisted from working in television during the McCarthy era, I know the harm of government using private corporations to intrude into the lives of innocent Americans. When government uses the telephone companies to create massive databases of all our phone calls it has gone too far.

I feel sorry for human resource people nowadays. HR is marginalized. No one really pays much attention to what's going on in HR and HR struggles with the fact that what is prevalent in America today is job boards, huge databases that we use to recruit and hire people.

We get information in the mail, the regular postal mail, encrypted or not, vet it like a regular news organization, format it - which is sometimes something that's quite hard to do, when you're talking about giant databases of information - release it to the public and then defend ourselves against the inevitable legal and political attacks.

I can tell you, all the intelligence services in the world were running my name through their databases to see did anyone by this name come in the country? When? Do we know anything about it? Where did she stay? Who did she see?

Computer scientists have built a set of massive DNS databases, which provide fragmentary histories of communications flows, in part to create an archive of malware: a kind of catalog of the tricks bad actors have tried to pull, which often involve masquerading as legitimate actors.

Second, we're spending a huge amount of money on technology so that everyone can check out laptops and portable phones. We're spending more money to write our existing information into databases or onto CD-ROM.

There are always going to be people who are experts in security or end-user devices or collaboration or databases. That's not going to go away. But what's the reason all of these professions come together? To help the business transform itself.

The popular dystopian vision of AI is wrong for one simple reason: it equates intelligence with autonomy. That is, it assumes a smart computer will create its own goals and have its own will and will use its faster processing abilities and deep databases to beat humans at their own game.

I thought a company that provides mutual-fund information could be a great business, because you could construct an effective moat by building large financial databases and customer lists and a strong brand name.

Vast databases of names and personal information, sold to thieves by large publicly traded companies, have put almost anyone within reach of fraudulent telemarketers.

In baseball, you can do something poorly and still get credit. A pitcher could throw a bad ball, the batter hit a screaming line drive, and an outfielder make a fantastic diving catch. Yet, when you look at historical databases, 80% of the time when a ball is struck with that trajectory and velocity, it is a hit.

Web pages are designed for people. For the Semantic Web, we need to look at existing databases.

You build massive databases, you learn everything you can about the people in those databases, you figure out exactly how they can be useful to your campaign, and you ask them to donate money, door-knock, the virtual equivalent of being a sort of army of stamp lickers.

Now companies tend to mine gigantic databases for insights into what might happen six months from now. That might always be valuable, but there's a different kind of value - and a competitive edge - in processing ongoing streams of data through a software model that can quickly and constantly make predictions about, say, whether a certain customer is going to defect, or an aircraft is going to run into trouble.

Some argue that even physical databases were open to abuse and fake passports or driving licenses were fairly common. But technology, coupled with poor security systems, can ruin innocent victims lives by wiping out their bank balances or investments, or by misusing their identity for dubious deals.

This is systems security for the Central Intelligence Agency. We would like to know why you are attempting to hack one of our classified databases.

The folks like myself that do this for a living, we were expecting a regular campaign had built the databases, done all the new social media, learned our lessons from [Barack] Obama whipping us twice on how to do voter contact, and then Donald Trump gets in it and turns it into a national election.