Operational Data Stream and Batch Processing at Netflix with Mantis by Dylan Raithel Posted on Apr 27, 2016
Neo4j 3.0 Released with Binary Communication Protocol and Standardised Drivers by Alex Blewitt Posted on Apr 26, 2016
Google Cloud Machine Learning and Tensor Flow Alpha Release by Dylan Raithel Posted on Apr 18, 2016
Netflix Details Evolution of Keystone Data Pipeline by Dylan Raithel Posted on Mar 04, 2016
Funnel Analysis at Twitter for Improving User Engagement by Srini Penchikala Posted on Feb 25, 2016
AlphaGo: Google and DeepMind Publish Seminal AI Work by Dylan Raithel Posted on Feb 23, 2016
Unified Data Modeling for Relational and NoSQL Databases by Allen Wang Posted on Feb 28, 2016 5
Getting Ready for IoT’s Big Data Challenges with Couchbase Mobile by Ralph Winzinger Posted on Jan 20, 2016 1
Big Data Processing with Apache Spark - Part 3: Spark Streaming by Srini Penchikala Posted on Jan 07, 2016 2
Data Lake-as-a-Service: Big Data Processing and Analytics in the Cloud by Srini Penchikala Posted on Dec 10, 2015
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?