Best of DataWorks Summit 2017 Munich

There were a ton of great presentations at Europe's top Big Data conference, DataWorks Summit. All of the tech talks were beyond capacity, so for those going to San Jose in June — get to your sessions early!

I am in the process of downloading all of the #DWS17 tweets with NiFi to do some analysis and Machine Learning.

I will post a follow-up article on using Apache NiFi, CoreNLP, Apache OpenNLP, Phoenix, HBase, Zeppelin, and Spark to analyze tweets for conference reporting.

The birds of a feather for streaming was awesome. There was direct access to Storm, NiFi, Beam, Streaming AnalyticsManager, and Avro committers. Some big news: Storm Runner for Apache Beam and Beam with S2S are in the planning stages!

All of my notes and photos are tweeted here.

• A cool person from the conference: Davor Bonaci from Apache Beam and Google is a great resource!

• Projects of much interest: Apache Flink, TensorFlow, and Apache NiFi.

• Projects of renewed interest: Apache Hive, Apache HBase, Apache Storm, and Deep Learning 4J.

• My theme of the conference: Apache Calcite everywhere!

Presentations

Check out all of the presentations on LinkedIn here.

Videos

• Keynotes

• Day One Kickoff: DataWorks Summit Europe 2017

• Shaun Connolly, Hortonworks: DataWorks Summit Europe 2017

• Raj Verma, Hortonworks: DataWorks Summit Europe 2017

• Lars George, OpenCore: Backup and DR in Hadoop

• Zoltán Zvara, Hungarian Academy of Sciences Gabor Hermann: Building a Large-Scale Adaptive Recommendation Engine With Apache Flink and Spark

• Scott Gnau, Hortonworks: DataWorks Summit Europe 2017

• #theCube Collection

• DataWorks Summit Collection

News

HDP 2.6 was released with lots of new features, including Druid in Technical Preview, Superset in Technical Preview, Hive LLAP 2.1, Spark 2.1, Livy, a Zeppelin upgrade, and many bug fixes and upgrades to Hadoop components.