Hadoop Happenings: Product Announcements; State of Hadoop

By Nate PhilipSeptember 22, 2014

Hadoop Happenings Weekly Roundup

Grab all of the latest news and commentary about Hadoop all in one place in this week’s Hadoop Happenings. Several distributions made product announcements this week, including the first Hadoop offering for China. SiliconAngle reviewed the state of Hadoop, including who is using it and why.

1. The New Normal: Business Understanding Bob Muglia, CEO of Snowflake, argues that when the data warehouse is reimagined for the cloud it will create a new normal of business understanding. Read More

2. Hadoop gets more versatile, but data is still king With the release of YARN, Hadoop has transformed from a self-contained product to a platform that works with many other products. Read More

3. SQL-on-Hadoop tech Apache Drill is ready to use and part of MapR’s distro MapR has integrated an early version of the Apache Drill project into its big data platform. Read More

4. Microsoft readies new Azure Data Factory service Microsoft is working on a service called Azure Data Factory that will grant users access to more analytics services. Read More

5. Strengthening the Security of Hadoop Projects: 12 Best Practices This slideshow goes over 12 best practices for monitoring and strengthening data security. Read More

6. 10 ways to query Hadoop with SQL This post provides an overview of 10 SQL engines that can be used with Hadoop. Read More

7. Microsoft Azure Offers HDInsight (Hadoop-as-a-Service) to China Microsoft announced its Hadoop product is now available as a public preview in China. Read More

8. Yahoo Japan Deploys Brocade’s Ethernet Fabric to Support Hadoop Infrastructure Japan’s largest Internet company has deployed an Ethernet fabric solution that will support a Hadoop-based Big Data project. Read More

9. Self-Provision Hadoop in Five Clicks, BlueData Says This post provides an overview of BlueData’s EPIC. Read More

10. The State of Hadoop 2014: Who’s Using it and Why Adoption of Hadoop has been slower than predicted, but the future is still promising for Hadoop. Read More

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