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Apache Flink, stream processing, event-driven applications, and more.

Flink SQL: Detecting patterns with MATCH_RECOGNIZE
Ververica Platform makes Flink SQL more accessible and efficiently scalab...

Flink SQL: Queries, Windows, and Time - Part 2
This article will provide a more in-depth look at how to create a time wi...

Flink SQL: Queries, Windows, and Time - Part 1
Time is a critical element in stream processing since data is processed a...

Flink SQL: Deduplication
Flink SQL has emerged as a standard for low-code data analytics. It has m...

Flink SQL: Joins Series 3 (Lateral Joins, LAG aggregate function)
Flink SQL joins and how to use them, specifically how to perform lateral ...

Ververica and Apache Flink in 2022 - An Annual Review
A look back onto the many milestones and changes that occurred in 2022 in...

Flink SQL Joins - Part 2
A look into Flink SQL joins and how to use them, specifically how to perf...

How to write fast Flink SQL
Flink SQL is the most widely used relational API based on standard SQL. I...

Flink SQL Joins - Part 1
A look into Flink SQL joins and how to use them, specifically with regula...
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