Software Defined Data Mart In The Enterprise Using Metanautix Quest by Alex Giamas Posted on Jun 29, 2015
Capgemini Apollo: An Open Source Microservice and Big Data Platform by Daniel Bryant Posted on Jun 06, 2015 1
MemSQL 4 Database Supports Community Edition, Geospatial Intelligence and Spark Integration by Srini Penchikala Posted on May 30, 2015
Deep Convolutional Networks for Super-Resolution Image Reconstruction at Flipboard by Mikio Braun Posted on May 26, 2015
Glenn Tamkin on Applying Apache Hadoop to NASA's Big Climate Data by Srini Penchikala Posted on May 06, 2015
Big Data and IT-Enabled Services: Ecosystem and Coevolution? by Bongsug (Kevin) Chae Posted on Jun 13, 2015
Analytics, Machine Learning, and the Internet of Things by Seth Earley Posted on Jun 07, 2015
Big Data Processing with Apache Spark - Part 2: Spark SQL by Srini Penchikala Posted on Apr 16, 2015 1
Highly Distributed Computations Without Synchronization by Christopher Meiklejohn Posted on Feb 17, 2015 1
Big Data Processing with Apache Spark – Part 1: Introduction by Srini Penchikala Posted on Jan 30, 2015 3
Apache Ignite GridGain Incubator Project - Q&A Interview with Nikita Ivanov by Srini Penchikala Posted on Dec 03, 2014
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?