Interesting Stuff - Week 48

Throughout the week, I read a lot of blog-posts, articles, and so forth, that has to do with things that interest me:

This blog-post is the “roundup” of the things that have been most interesting to me, for the week just ending.

Azure

Considering Azure Functions for a serverless data streaming scenario. A blog post which describes a solution of using Azure server-less to create a data pipeline to detect fraudulent transactions. Quite a lot of exciting technologies/solutions!
Getting Started with data Artisans Platform on Azure Kubernetes Service. The dA Platform is a production-ready stream processing infrastructure that includes open-source Apache Flink, and it is purpose-built for the stateful stream processing architecture. This blog post discusses how to get the dA Platform up and running on Azure Kubernetes Service.

What’s new in the latest Apache Flink 1.7.0 release. As per the title. This blog post mentions some new functionality in the 1.7.0 release of Apache Flink. The new MATCH_RECOGNIZE functionality looks very juicy!
Apache Avro as a Built-in Data Source in Apache Spark 2.4. Starting from the Apache Spark 2.4 release, Spark provides built-in support for reading and writing Avro data. This blog post examines the functionality in detail.
3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments. What it says in the title - how we can prepare for disaster recovery in Kafka environments.

SQL Server 2019 Extensibility Framework & Java - Hello World. In the roundup for last week I wrote how I was working on a blog post about the new Java functionality in SQL Server 2019. This is it. In this post I take a look at how to install and enable the Java extensions. The post finishes with some very simple Java code which I execute from SQL Server. Do not be surprised if more posts comes shortly about Java.

That’s all for this week. I hope you enjoy what I did put together. If you have ideas for what to cover, please comment on this post or ping me.