path: root/news/_posts/2012-12-21-spark-and-shark-in-the-news.md



---
layout: post
title: Spark and Shark in the news
categories:
- In-The-News
- News
tags: []
status: publish
type: post
published: true
meta:
  _edit_last: '4'
  _wpas_done_all: '1'
---
Recently, we've seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.

<ul>
<li>Curt Monash, editor of the popular DBMS2 blog, wrote a great <a href="http://www.dbms2.com/2012/12/13/introduction-to-spark-shark-bdas-and-amplab/">introduction to Spark and Shark</a>, as well as a more detailed <a href="http://www.dbms2.com/2012/12/13/spark-shark-and-rdds-technology-notes/">technical overview</a>.</li>
<li><a href="http://siliconangle.com/blog/2012/11/29/big-data-up-to-100x-faster-researchers-crank-up-the-speed-dial/">Silicon Angle</a> covered Spark and Shark after our <a href="https://amplab.cs.berkeley.edu/news/sparkshark-a-big-hit-at-aws-reinvent/">presentation at Amazon re:Invent</a>.</li>
<li><a href="http://www.datanami.com/datanami/2012-12-01/the_week_in_big_data_research.html?page=2">Datanami</a> highlighted Shark in its survey of big data research projects.</li>
<li>O'Reilly's Strata blog recently covered <a href="http://strata.oreilly.com/2012/08/seven-reasons-why-i-like-spark.html">Spark</a>, <a href="http://strata.oreilly.com/2012/11/shark-real-time-queries-and-analytics-for-big-data.html">Shark</a>, and the <a href="http://strata.oreilly.com/2012/10/spark-0-6-improves-performance-and-accessibility.html">Spark 0.6 release</a>.</li>
<li><a href="http://data-informed.com/spark-an-open-source-engine-for-iterative-data-mining/">DataInformed</a> interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.</li>
</ul>

In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">O'Reilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>. 
---
layout: post
title: Spark and Shark in the news
categories:
- In-The-News
- News
tags: []
status: publish
type: post
published: true
meta:
  _edit_last: '4'
  _wpas_done_all: '1'
---
Recently, we've seen quite a bit of coverage of both Spark and <a href="http://shark.cs.berkeley.edu">Shark</a> in the news. I wanted to list some of the more recent articles, for readers interested in learning more.

<ul>
<li>Curt Monash, editor of the popular DBMS2 blog, wrote a great <a href="http://www.dbms2.com/2012/12/13/introduction-to-spark-shark-bdas-and-amplab/">introduction to Spark and Shark</a>, as well as a more detailed <a href="http://www.dbms2.com/2012/12/13/spark-shark-and-rdds-technology-notes/">technical overview</a>.</li>
<li><a href="http://siliconangle.com/blog/2012/11/29/big-data-up-to-100x-faster-researchers-crank-up-the-speed-dial/">Silicon Angle</a> covered Spark and Shark after our <a href="https://amplab.cs.berkeley.edu/news/sparkshark-a-big-hit-at-aws-reinvent/">presentation at Amazon re:Invent</a>.</li>
<li><a href="http://www.datanami.com/datanami/2012-12-01/the_week_in_big_data_research.html?page=2">Datanami</a> highlighted Shark in its survey of big data research projects.</li>
<li>O'Reilly's Strata blog recently covered <a href="http://strata.oreilly.com/2012/08/seven-reasons-why-i-like-spark.html">Spark</a>, <a href="http://strata.oreilly.com/2012/11/shark-real-time-queries-and-analytics-for-big-data.html">Shark</a>, and the <a href="http://strata.oreilly.com/2012/10/spark-0-6-improves-performance-and-accessibility.html">Spark 0.6 release</a>.</li>
<li><a href="http://data-informed.com/spark-an-open-source-engine-for-iterative-data-mining/">DataInformed</a> interviewed two Spark users and wrote about their applications in anomaly detection, predictive analytics and data mining.</li>
</ul>

In other news, there will be a full day of tutorials on Spark and Shark at the <a href="http://strataconf.com/strata2013">O'Reilly Strata conference</a> in February. They include a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27438">introduction to Spark, Shark and BDAS</a> Tuesday morning, and a three-hour <a href="http://strataconf.com/strata2013/public/schedule/detail/27440">hands-on exercise session</a>.