---
title: "This week's database news, issue 27"
publication: "DB Weekly"
issue: 27
published_at: "2014-08-29"
canonical_url: "https://dbweekly.com/issues/27"
---

This week's database news, issue 27

This week's database news, supported by Rackspace[Read this e-mail on the Web](http://dbweekly.com/issues/27)

DB WeeklyIssue 27 — August 29, 2014

Supported by [![\](http://dbweekly.com/images/rackspacetrans.png)](http://rackspace.com/?utm_source=dbweekly&utm_medium=email)

[How Flash (Memory) Changes The Design of Database Storage Engines](http://radar.oreilly.com/2014/08/how-flash-changes-the-design-of-database-storage-engines.html?utm_source=dbweekly&utm_medium=email)O'Reilly MediaAndy Oram looks at how high-performance persistent memory in the form of SSDs (or ‘Flash’ drives) throws many traditional decisions overboard when it comes to database storage.


[Readings in Databases](https://github.com/rxin/db-readings?utm_source=dbweekly&utm_medium=email)Reynold XinA list of papers essential to understanding databases and building new data systems being maintained by Reynold Xin.


[Preparing DDPYOGA.com for the Shark Tank Effect](http://www.rackspace.com/blog/preparing-ddpyoga-com-for-the-shark-tank-effect/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-ddpyoga)RackspaceSponsoredThe “Shark Tank Effect” is well known—it’s the massive traffic explosion a small company’s site sees from an appearance on the show. Our site’s traffic ballooned from an average of 4,500 visitors per day to nearly 57,000 that Friday the show aired. Could your infrastructure handle this spike? [Find out how ours did](http://www.rackspace.com/blog/preparing-ddpyoga-com-for-the-shark-tank-effect/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-ddpyoga) – we didn’t even need to use the Diamond Cutter.

[![Rackspace\](http://s3.amazonaws.com/nlga/uploads/item/image/25872/125.jpg)](http://www.rackspace.com/blog/preparing-ddpyoga-com-for-the-shark-tank-effect/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-ddpyoga)


[Using a Graph Database for Deep Learning Text Classification](http://www.kennybastani.com/2014/08/using-graph-database-for-deep-learning-text-classification.html?utm_source=dbweekly&utm_medium=email)Kenny BastaniA look at Graphify, a Neo4j extension that provides plug and play natural language text classification and lets you extract features from text using deep learning.


[The Top 4 Languages for Data Mining and Analytics](http://www.datanami.com/2014/08/26/poll-sas-use-surges-data-mining/?utm_source=dbweekly&utm_medium=email)DatanamiA recent poll querying data scientists on which programming and statistics languages they use found that 4 languages dominate: R, Python, SAS, and SQL (in that order).


[Looking to the Future of Data Science](http://bits.blogs.nytimes.com/2014/08/27/looking-to-the-future-of-data-science/?ref=technology)Steve LohrAt ACM’s annual KDD data science conference, keynoter Oren Etzioni put out a call to arms to the world of data experts over the future of data science.


Jobs

In brief

Curated by [Peter Cooper](http://twitter.com/peterc) and published by [Cooper Press](https://cooperpress.com/) for [Rackspace](http://www.rackspace.com/?utm_source=dbweekly&utm_medium=email).
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