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Why Streaming SQL? The Semantics and Challenges of Applying SQL to Unbounded Data

Offered By: Data Council via YouTube

Tags

SQL Courses Data Processing Courses Data Engineering Courses Stream Processing Courses

Course Description

Overview

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Delve into the evolution of stream processing engines and their adoption of SQL as a primary language in this 34-minute conference talk. Examine the complexities of applying SQL to unbounded data streams, exploring time-oriented SQL elements such as event-time and watermarks. Gain valuable insights into managing continuously running pipelines, addressing challenges faced by data engineers and scientists. Learn about the history of querying data, SQL fundamentals, streaming SQL concepts, data flow semantics, and update semantics. Understand the advantages of SQL as a declarative and flexible language for stream processing. Presented by Micah Wylde, Co-founder & CEO of Arroyo Systems, this Data Council talk offers a comprehensive look at the semantics and challenges of applying SQL to streaming data.

Syllabus

Introduction
History of Querying Data
Fundamentals of SQL
Streaming SQL
Data flow semantics
Updates semantics
Why SQL
Declarative Language
Flexibility


Taught by

Data Council

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