Javascript Functions in Flink with SQLStreamBuilder
Javascript Functions allow you to create arbitrary functions and call them directly from SQL. You con’t need to restart your system, stop your cluster, or compile/recompile anything. Just specify a function and get to business.
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The Growth of Self Service Streaming Platforms and Flink SQL at Flink Forward Berlin
Companies increasingly understand how critical streaming data is to success and are looking for better, more self service ways to democratize streaming data across their organization.
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Joining Kafka Streams Using SQL to Enrich and Route Data
Joins are an important and powerful part of the SQL language. You can perform joins in SQLStreamBuilder to enrich data and create net new streams of useful data.
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SQLStreamBuilder October Feature Update
Our mission has remained clear—to build the best way to create, manage stream processing jobs using SQL, so you can work with your Kafka clusters, databases, and processing logic like the databases you know.
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SQLStreamBuilder Feature Update
I thought I would share a couple of improvements and features we recently added to SQLStreamBuilder. If you aren’t familiar, SQLStreamBuilder allows you to run Streaming SQL jobs against streams of data—initially on Kafka.
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Introducing SQLStreamBuilder
Today, we are launching SQLStreamBuilder (SSB): an interface to declare stream processing jobs using SQL. SQLStreamBuilder provides a powerful interface for writing SQL as well as managing SQL jobs.
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The Flink Table And SQL API With Apache Flink 1.6
Learn more about what (awesome) changes Flink 1.6 brought to the Flink table and SQL API with a step-by-step guide for using them.
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The Flink Table And SQL API
Apache Flink offers two simple APIs for accessing streaming data with declarative semantics – the table and SQL APIs. We dive in and build a simple processor in Java using these relatively new APIs.
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