Big Data Content on InfoQ
News about Big Data
Google on the Technical Debt of Machine Learning by Mikio Braun Posted on Jan 15, 2015
Apache Spark 1.2.0 Supports Netty-based Implementation, High Availability and Machine Learning APIs by Rags Srinivas Posted on Jan 07, 2015
Splunk Enterprise 6.2 Supports Instant Pivot and Enhanced Event Pattern Detection by Srini Penchikala Posted on Dec 21, 2014
New and Interesting on ThoughtWorks Radar Jan 2015 by Abel Avram Posted on Dec 19, 2014 2
Splice Machine Version 1.0 Supports Integration with Hadoop and Analytic Window Functions by Srini Penchikala Posted on Dec 18, 2014
Google Open Sources Cloud Dataflow Java SDK by Abel Avram Posted on Dec 18, 2014
LinkedIn Open Sources Cubert With an Eye To Big Data Analytics by Alex Giamas Posted on Dec 17, 2014
Agile View of Big Data by Savita Pahuja Posted on Dec 16, 2014
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Articles about Big Data
Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov
by
Srini Penchikala
Posted on
Dec 03, 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
Stats Anomalies Detector
by
Yonatan Harel and Ran Levy
Posted on
Nov 07, 2014
Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics
by
Alex Giamas
Posted on
Oct 27, 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
Introducing Spring XD, a Runtime Environment for Big Data Applications
by
Charles Humble
Posted on
Jul 23, 2014
1
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Research on Big Data
Emerging Trends in Big Data Technologies
Big Data technologies have been getting lot of attention over the last few years. There are several trends and innovations happening in this space. InfoQ would like to learn what new trends in Big Data you are currently using or planning on using in the future.
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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.
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?
