ENTRIES TAGGED "databases"

Why a JavaScript hater thinks everyone needs to learn JavaScript in the next year

Why a JavaScript hater thinks everyone needs to learn JavaScript in the next year

JavaScript is now a necessity.

JavaScript is everywhere: servers, rich web client libraries, HTML5, databases, even JavaScript-based languages. If you've avoided JavaScript, this is the year to learn it. And if you don't, you risk being left behind.

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Percona's mini-conferences target the evolution of MySQL

Percona's goal is to bring MySQL expertise out of the Silicon Valley and build community around MySQL in many locations.

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Wrap-up of 2011 MySQL Conference

Key themes from MySQL 2011. Plus, what you sacrifice when you use a NoSQL solution.

Two dominant themes emerged at MySQL 2011: Mix your relational database with less formal solutions and move to the cloud. This may actually be the best environment MySQL has ever enjoyed.

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Brian Aker explains Memcached

Brian Aker explains Memcached

Memcached lets your servers spend time on the important stuff.

Memcached is one of the linchpin technologies that holds the modern Internet together, but do you know what it actually does? Brian Aker offers a peek under the hood.

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Improving healthcare in Zambia with CouchDB

Improving healthcare in Zambia with CouchDB

CouchDB proves a good fit for a project with technical limits.

A new project in Zambia is trying to integrate supervisors, clinics, and community healthcare workers into a system that can improve patient service and provide more data. In this interview, Cory Zue explains how CouchDB is playing a role.

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Four short links: 24 March 2010

Four short links: 24 March 2010

Digital Subscriptions, Graph Database, Data Science, and High Speed Compression

  1. Digital Subscription Prices — the NY Times in context. Aie.
  2. Trinity — Microsoft Research graph database. (via Hacker News)
  3. Data Science Toolkit — prepackaged EC2 image of most useful data tools. (via Pete Warden)
  4. Snappy — Google’s open sourced compression library, as used in BigTable and MapReduce. Emphasis is on speed, with resulting lack of quality in filesize (20-100% bigger than zlib).
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Developer Week in Review

Developer Week in Review

Amazon buys itself a lawsuit, a setting Sun.com, and the new name in databases

What's in a name? For Amazon's new Appstore, it was a lawsuit. For Oracle's sun.com domain, big money. And would MySQL by any other name smell as sweet?

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Four short links: 18 March 2011

Four short links: 18 March 2011

Job Titles, Android Copyright, Error Hosting, and Drizzle Ships

  1. Titles and Promotions (Ben Horowitz) — Andreessen argues that people ask for many things from a company: salary, bonus, stock options, span of control, and titles. Of those, title is by far the cheapest, so it makes sense to give the highest titles possible. The hierarchy should have Presidents, Chiefs, and Senior Executive Vice Presidents. If it makes people feel better, let them feel better. Titles cost nothing. Better yet, when competing for new employees with other companies, using Andreessen’s method you can always outbid the competition in at least one dimension.
  2. Android’s Linux Copyrights IssueGoogle copied 2.5 megabytes of code from more than 700 Linux kernel header files with a homemade program that drops source code comments and some other elements, and daringly claims (in a notice at the start of each generated file) that the extracted material constitutes “no copyrightable information”
  3. errbit — open source self-hosted error catcher, an open source alternative to HopToad. (via Glen Barnes)
  4. Drizzle: From What If to What Has (Brian Aker) — fantastic retrospective of lessons learned in the shipping of Drizzle. We have fixed all the warnings in Drizzle. This is something that isn’t sexy work, and the only way it is justified is because cleaning up warnings fixes bugs. If you are starting a new code base let me implore upon on you the necessity of doing this from the beginning. They sweat the dull stuff that matters, not just the shiny sexy featureitis.
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Will data be too cheap to meter?

Will data be too cheap to meter?

Data acquisition for a site like CrunchBase may not carry the costs some assume.

The data acquisition process should be increasingly automatic, and so increasingly cheap. I'm hoping for a world where information producers are paid for extracting value from that data.

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Strata Week: Behind LinkedIn Signal

Life-size visualizations, how Hadoop is used, SciDB has its first release

In this edition of Strata Week: the open source technology behind LinkedIn Signal; Julia Grace on visualization; Hadoop usage survey results, and the first release of the SciDB project.

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