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News about Event Stream Processing rss

Julien Nioche on StormCrawler, Open-Source Crawler Pipelines Backed by Apache Storm by Alexandre Rodrigues Posted on Dec 15, 2016 Azure Functions Reach General Availability by Kent Weare Posted on Dec 10, 2016 2 Microservices and Stream Processing Architecture at Zalando Using Apache Flink by Srini Penchikala Posted on Oct 31, 2016 1
Stream Processing and Lambda Architecture Challenges by Alexandre Rodrigues Posted on Oct 19, 2016 4 Confluent Announces Kafka for the Enterprise with Multi-Datacenter Replication by Srini Penchikala Posted on Oct 05, 2016 Neha Narkhede: Large-Scale Stream Processing with Apache Kafka by Ralph Winzinger Posted on Jun 19, 2016
Comparison of Event Sourcing with Stream Processing by Jan Stenberg Posted on May 25, 2016 Azure Stream Analytics Publishing to Power BI Reaches General Availability by Kent Weare Posted on May 11, 2016 Apache Storm Reaches 1.0, Brings Improved Performance, Many New Features by Sergio De Simone Posted on Apr 14, 2016
Microservices for a Streaming World by Jan Stenberg Posted on Mar 14, 2016 Moving from Transactions to Streams to Gain Consistency by Jan Stenberg Posted on Mar 13, 2016 Netflix Details Evolution of Keystone Data Pipeline by Dylan Raithel Posted on Mar 04, 2016
Architecting Scalable, Dynamic Systems when Eventual Consistency Won’t Work by Michael Stiefel Posted on Jan 20, 2016 The Basics of Being Reactive by Jan Stenberg Posted on Jan 20, 2016 Yahoo! Benchmarks Apache Flink, Spark and Storm by Abel Avram Posted on Dec 23, 2015
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Presentations about Event Stream Processing rss

Stream Processing in Uber by Danny Yuan Posted on Dec 04, 2015
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Books about Event Stream Processing rss

InfoQ eMag: Hadoop Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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