How to Make Sure an App Works with Android for Work by Abel Avram Posted on Feb 26, 2015
Google Open Sources MapReduce Framework for C to Run Native Code in Hadoop by Srini Penchikala Posted on Feb 25, 2015
MongoDB 3.0 - WiredTiger Storage Engine and Updated MMS by Alex Giamas Posted on Feb 20, 2015
Docker Inc., Release Docker 1.5 With Read-only Containers, Stats and More by Daniel Bryant Posted on Feb 18, 2015
Config Management Camp Panel: Next Steps in Configuration Management by Carlos Sanchez Posted on Feb 22, 2015
Highly Distributed Computations Without Synchronization by Christopher Meiklejohn Posted on Feb 17, 2015
DevOps in AWS LiveLessons Review and Q&A with Author Paul Duvall by Sergio De Simone Posted on Feb 12, 2015
Big Data Processing with Apache Spark – Part 1: Introduction by Srini Penchikala Posted on Jan 30, 2015 2
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?