Facebook's Comparison of Apache Giraph and Spark GraphX for Graph Data Processing by Srini Penchikala Posted on Dec 09, 2016
Julien Le Dem on the Future of Column-Oriented Data Processing with Apache Arrow by Alexandre Rodrigues Posted on Dec 08, 2016
Microsoft Releases Data Science Tools for Interactive Data Exploration and Modeling by Srini Penchikala Posted on Nov 07, 2016
Microservices and Stream Processing Architecture at Zalando Using Apache Flink by Srini Penchikala Posted on Oct 31, 2016 1
Wolfram Wants to Deliver “Computation Everywhere” with New Private Cloud by Richard Seroter Posted on Oct 26, 2016
Stream Processing and Lambda Architecture Challenges by Alexandre Rodrigues Posted on Oct 19, 2016 4
Jay Kreps on Distributed Stream Processing with Apache Kafka and Kafka Streams by Srini Penchikala Posted on Oct 16, 2016
Reactive Summit 2016 Conference: Reactive Microservices and Staging Data Pipelines by Srini Penchikala Posted on Oct 08, 2016
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?