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by Marta Paes May 08, 2019

Flux capacitor, huh? Temporal Tables and Joins in Streaming SQL

Figuring out how to manage and model temporal data for effective point-in-time analysis was a longstanding battle, dating as far back as the early 80’s, that culminated with the introduction of...

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by Marta Paes January 29, 2019

MATCH_RECOGNIZE: where Flink SQL and Complex Event Processing meet.

With the unavoidable and ever-growing presence of sensors and smart devices, Complex Event Processing (CEP) is fast becoming a critical paradigm for enterprises to keep ahead of the curve and turn...

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by Aljoscha Krettek November 06, 2018

Flink SQL for powerful querying of data streams and data at rest

While Flink SQL was initially released with Flink 1.1.0 back in August 2016, recent Flink releases have added quite a bit of functionality that makes Flink SQL easier to use by eliminating the...

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by Stephan Ewen September 01, 2017

Streaming SQL in Apache Flink, KSQL, and Stream Processing for Everyone

If you read our blog, you’ve likely seen this week’s news that Confluent shared an early version of its new offering KSQL, streaming SQL for Apache Kafka.The data Artisans team and Apache Flink...

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by Fabian Hueske April 11, 2017

Continuous Queries on Dynamic Tables: Analyzing Data Streams with Streaming SQL

Xiaowei Jiang is a Senior Director in Alibaba’s Search Infrastructure division, and Shaoxuan Wang is a Senior Manager in Alibaba's Search Infrastructure division. Fabian Hueske (@fhueske) is a...

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by Timo Walther April 03, 2017

From Streams to Tables and Back Again: An Update on Apache Flink's Table & Streaming SQL API

Timo Walther (@twalthr) is a software engineer at data Artisans and an Apache Flink® committer and PMC member. This post originally appeared on the Apache Flink blog. It was reproduced here under...

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