This is the 71st edition of my blog series blog series around Stream Processing and Analytics!
As every week I was also updating the following two lists with the presentations/videos of the current week:
As usual, find below the new blog articles, presentations, videos and software releases from last week:
News and Blog Posts
General
- IBM Throws In with Hortonworks’ Hadoop by Alex Woodie
- The future of Fast and Big Data Technologies by Dana Sandu
- Real-Time Customer Service Will Soon Be the Rule by
- Connected Intelligence in the IoT Edge by Rajeev Kozhikkattuhodi
Comparison
Apache Kafka / Kafka Streams / Confluent Platform
- Announcing public preview of Apache Kafka on HDInsight with Azure Managed disks by Raghav Mohan
- Simplifying your microservices architecture with Kafka and KafkaStreams by Dan Lebrero
Spark Streaming
- Apache Spark DStream by DataFlair
- Exploring Spark Structured Streaming by
Apache Beam
- Beam 2.0 Q and A by Jesse Anderson
Apache NiFi / Hortonworks HDF
- Developing Streaming Analytics Applications without writing a single line of code for Hortonworks DataFlow by Wei Wang
New Presentations
- Stateful Stream Processing with Apache Flink by Tzu-L Gordon
- The History and Future of the Blurring of Stream Processing & OLTP by John Hugg
- From Batch to Streaming ET(L) with Apache Apex by Thomas Weise
- Complex Event Processing with Flink: the state of FlinkCEP by Kostas Kloudas
- Stream Analytics with SQL on Apache Flink by Fabian Hueske
- Apache Spark and Apache Ignite: Where Fast Data Meets the IoT by Denis Magda
- Stream All Things—Patterns of Modern Data Integration by
- Connecting Apache Kafka With Mule ESB by Jitendra Bafna
- Introducing Exactly Once Semantics in Apache Kafka by
New Videos
- Rethinking Stream Processing with Apache Kafka by Michael Noll
- From Batch to Streaming ET(L) with Apache Apex by Thomas Weise
- Integration Patterns for Big Data Applications by Michael Häusler
- Experiences running Flink at Very Large Scale by Stephan Ewen
- Challenges of Monitoring Distributed Systems by Nenad Bozic
- Design Patterns for Calculating User Profiles in Real Time by Igor Mazor
- The History and Future of the Blurring of Stream Processing & OLTP by John Hugg
- Using Apache Beam to create a unified benchmarking framework by Ismaël Mejía
- A Big Data Streaming Recipe by Konstantin Gregor
- Balancing Heroes and Pokemon in Real Time by Fokko Driesprong & Vincent Warmerdam
- Containerizing Distributed Pipes by Hagen Tönnies
- Update on the t-digest: Finding Faults in Real Data by Ted Dunning
- Mechanics of Data Pipelines by Sean Braithwaite
- Hops: Multi-Tenancy and Streaming-First in an open-source SaaS platform by Jim Dowling
- Complex Event Processing with Flink: the state of FlinkCEP by Kostas Kloudas
- Stream Analytics with SQL on Apache Flink by Fabian Hueske
- Hands-on with Apache NiFi and MiNiFi by Andrew Psaltis
Upcoming Events
- 20.6.2017 (Düsseldorf, GE) – Big Data & Stream Processing with Apache Spark
- 22.6.2017 (Canberra, Australia) – Data-in-Motion: Recent advances in Apache projects for streaming data (Meetup)
- 22.6.2017 (Zurich, CH) – Data stream processing at PSI (Meetup)
- 27.6.2017 (London, UK) – Stateful Stream Processing (Meetup)
- 28.6.2017 (Munich, GE) – Rethinking Stream Processing with Apache Kafka (Meetup)
- 3.7.2017 (Warsaw, PL) – Apache Flink – Stateful Stream Processing (dataArtisans) & CEP (GetInData) (Meetup)
Please let me know if that is of interest. Please tweet your projects, blog posts, and meetups to @gschmutz to get them listed in next week’s edition!