3. What happened in February?
3
flink-neo4j connector published
Release 1.0 preparation
4. What happened in March?
4
Apache Flink 1.0.0
Flink Forward 2016 announced
Flink-htm announced: “Distributed,
streaming anomaly detection and
prediction with HTM in Apache Flink”
Greg Hogan has been added as a
committer
5. What happened in April?
5
Apache Ignite Sink for Flink available
Flink in Homebrew (a package manager of
OS X)
Apache Mahout released 0.12.0 with
Samsara for Flink
6. What happened in May?
6
Flink packaging available in Apache Bigtop
First signs for Flink 1.1 on the horizon
Flink-Cascading runner for Cascading 3.1
released
Community started discussing component
maintainer model
Flink security proposal published to ML
First dynamic scaling pull request
7. Now merged to master (1.1-SNAPSOT)
7
Many commits: post-1.0 fixes, tweaks, …
Documentation enhancements: Concepts,
Watermarks, Event Time
Gelly graph generators
Scala CEP API
Support for embedded streaming SQL (projection,
filter, union) + SQL for DataSet programs
Initial implementation of Amazon Kinesis
connector
Ground work for new metrics system (JMX, other
reporters)
8. Reading List
Analyzing Streaming Data with SQL using Apache Flink [1]
RBEA: Scalable Real-Time Analytics at King [2]
Why Apache Beam? A Google Perspective [3]
Why Apache Beam? A data Artisans perspective [4]
Introducing Complex Event Processing (CEP) with Apache
Flink [5]
Extending the Yahoo! Streaming Benchmark and Winning
Twitter Hack-Week with Apache Flink [6]
Applying the Kappa architecture in the telco industry [7]
8
1. http://flink.apache.org/blog/
2. https://techblog.king.com/rbea-scalable-real-time-analytics-king/
3. https://cloud.google.com/blog/big-data/2016/05/why-apache-beam-a-google-perspective
4. http://data-artisans.com/why-apache-beam/
5. http://flink.apache.org/news/2016/04/06/cep-monitoring.html
6. http://data-artisans.com/extending-the-yahoo-streaming-benchmark/
7. https://www.oreilly.com/ideas/applying-the-kappa-architecture-in-the-telco-industry
9. Upcoming talks
Strata London (June 1-3)
Berlin Buzzwords (June 5-7)
• Getting started with Stream Processing on Apache Flink
(Workshop)
• Real-time analytics with Flink and Druid
• A Data Streaming Architecture with Apache Flink
• The Stream Processor as a Database: Building Online
Applications directly on Streams with Apache Flink and Apache
Kafka
• Measuring 2.0 – Building the next generation webanalytics
solution using Apache Flink (bol.com)
Hadoop Summit San Jose (June 28-30)
• Blink−Improved Runtime for Flink and its Application in Alibaba
Search
9
10. Powered by Flink
https://cwiki.apache.org/confluence/display/FLINK/Powered+by+Flink
10