InfoQ eMag: Hadoop
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition” by Boris Lublinsky Posted on Nov 20, 2014
Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by Kai Wähner Posted on Sep 10, 2014 5
Nikita Ivanov on GridGain’s In-Memory Accelerator for Hadoop by Srini Penchikala Posted on Sep 08, 2014
Rich Reimer on SQL-on-Hadoop Databases and Splice Machine by Srini Penchikala Posted on Jun 19, 2014
Lambda Architecture: Design Simpler, Resilient, Maintainable and Scalable Big Data Solutions by Daniel Jebaraj Posted on Mar 12, 2014 7
Hortonworks Data Platform Makes an Enterprise Push by Rags Srinivas Posted on Nov 14, 2014
Microsoft Expands Azure Machine Learning and Real Time Analytics Offering by Alex Giamas Posted on Oct 31, 2014
Big Data Analytics: Using Hunk with Hadoop and Elastic MapReduce by Jonathan Allen Posted on Oct 07, 2014
Apache Drill Included in MapR Latest Distribution Release by Alex Giamas Posted on Sep 30, 2014
Hortonworks Announces Stinger.next Roadmap to Deliver Hadoop Scale SQL with Apache Hive by Adam Berry Posted on Sep 25, 2014
Data Encryption in Apache Hadoop with Project Rhino - Q&A with Steven Ross by Abhishek Sharma Posted on Aug 14, 2014
Cloudbreak, New Hadoop as a Service API, Enters Open Beta by Sergio De Simone Posted on Jul 22, 2014
Cloudera Acquires Big Data Encryption Startup Gazzang by Jérôme Serrano Posted on Jul 15, 2014
Hortonworks Acquires XA Secure to Strengthen Security in Enterprise Hadoop by Abhishek Sharma Posted on Jun 23, 2014
Hadoop ecosystem capabilities: What to add next?
The last 5 years the Hadoop ecosystem has expanded rapidly to satisfy for various production needs. Most recently a number of real-time workloads and tools have been brought to this new generation data processing and management platform.
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Τrends of different Big Data Solutions
Various Hadoop-based solutions for a new generation of data management have disrupted the market of traditional data processing and management systems in recent years. There is no longer a question on whether enterprises need a big data strategy - it has become a fact! But the questions remains - when and how to migrate?
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