Hadoop Content on InfoQ
Books about Hadoop
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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Articles about Hadoop
Designing a Highly Available, Fault Tolerant, Hadoop Cluster with Data Isolation
by
Monica Beckwith
Posted on
Dec 16, 2014
Interview with Alex Holmes, author of “Hadoop in Practice. Second Edition”
by
Boris Lublinsky
Posted on
Nov 20, 2014
Matt Schumpert on Datameer Smart Execution
by
Srini Penchikala
Posted on
Nov 13, 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
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Big Data Analytics for Security
by
Alvaro A. Cárdenas, Pratyusa K. Manadhata, Sreeranga P. Rajan
Posted on
Feb 11, 2014
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News about Hadoop
Apache Spark 1.2.0 Supports Netty-based Implementation, High Availability and Machine Learning APIs by Rags Srinivas Posted on Jan 07, 2015
Splice Machine Version 1.0 Supports Integration with Hadoop and Analytic Window Functions by Srini Penchikala Posted on Dec 18, 2014
LinkedIn Open Sources Cubert With an Eye To Big Data Analytics by Alex Giamas Posted on Dec 17, 2014
Gobblin, LinkedIn's Unified Data Ingestion Platform by Mikio Braun Posted on Dec 15, 2014
Stripe Open Sources Tools For Apache Hadoop by Alex Giamas Posted on Dec 09, 2014
Spark Sets New Record in Sort Performance by Benjamin Darfler Posted on Nov 26, 2014
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
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Research on Hadoop
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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