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
Security Insights into the LXD Container Hypervisor by Hrishikesh Barua Posted on Oct 15, 2016
Reactive Summit 2016 Conference: Reactive Microservices and Staging Data Pipelines by Srini Penchikala Posted on Oct 08, 2016
Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication by Srini Penchikala Posted on Oct 05, 2016
Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform by Srini Penchikala Posted on Oct 13, 2016
Traffic Data Monitoring Using IoT, Kafka and Spark Streaming by Amit Baghel Posted on Sep 28, 2016 4
Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines by Srini Penchikala Posted on Sep 24, 2016
Book Review: Site Reliability Engineering - How Google Runs Production Systems by João Miranda Posted on Sep 21, 2016
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As part of InfoQ's articles series on "Patterns of DevOps Culture", we want to know which practices you believe contribute the most towards an environment of collaboration (across the board), sharing (continuous learning) and ownership (of both successes and failures)? In other words, what moves the needle towards DevOps?
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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.