New and Interesting on ThoughtWorks Radar Jan 2015 by Abel Avram Posted on Dec 19, 2014
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
MapR-DB NoSQL Database Integrated into MapR Community Edition for Unlimited Production Use by Srini Penchikala Posted on Dec 05, 2014
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
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
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.
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?