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ksqlDB 101 Course Trailer | Confluent Developer
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ksqlDB 101: Introduction to ksqlDB
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ksqlDB 101: Interacting with ksqlDB
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ksqlDB 101: Interacting with ksqlDB (Hands On)
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ksqlDB 101: Creating, Exporting, and Importing Data Streams
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ksqlDB 101: Filtering with ksqlDB
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ksqlDB 101: Filtering with ksqlDB (Hands On)
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ksqlDB 101: Lookups and Joins with ksqlDB
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ksqlDB 101: Lookups and Joins with ksqlDB (Hands On)
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ksqlDB 101: Transforming Data with ksqlDB
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ksqlDB 101: Transforming Data with ksqlDB (Hands On)
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ksqlDB 101: Flatten Nested Records with ksqlDB
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ksqlDB 101: Flatten Nested Records with ksqlDB (Hands On)
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ksqlDB 101: Converting Data Formats with ksqlDB
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ksqlDB 101: Converting Data Formats with ksqlDB (Hands On)
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ksqlDB 101: Merging Two Streams with ksqlDB
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ksqlDB 101: Merging Two Streams with ksqlDB (Hands On)
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ksqlDB 101: Splitting Two Streams with ksqlDB
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ksqlDB 101: Splitting Two Streams with ksqlDB (Hands On)
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ksqlDB 101: Streams and Tables
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ksqlDB 101: Materialized Views
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ksqlDB 101: Materialized Views (Hands On)
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ksqlDB 101: Push Queries and Pull Queries
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ksqlDB 101: Push Queries and Pull Queries (Hands On)
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ksqlDB 101: ksqlDB Architecture
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ksqlDB 101: Versioning ksqlDB Applications with ksql-migrations
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ksqlDB 101: Lambda Functions in ksqlDB
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ksqlDB 101: Lambda Functions in ksqlDB (Hands On)
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ksqlDB 101: Monitoring ksqlDB
Description:
Dive into the world of stream processing with this comprehensive tutorial series on ksqlDB, the SQL streaming engine for Apache Kafka®. Learn how to build powerful event streaming applications using ksqlDB's intuitive SQL syntax. Explore topics such as filtering and transforming data streams, querying tables and streams with pull and push queries, and understanding the difference between streams and tables. Master common utility functions like flattening nested records, changing serialization formats, and merging and splitting streams. Discover how to integrate ksqlDB applications with Kafka Connect using familiar SQL syntax. Gain hands-on experience through step-by-step exercises in Confluent Cloud, covering everything from basic interactions to advanced concepts like materialized views, lambda functions, and monitoring. Perfect for developers looking to harness the full potential of event streaming in their data infrastructure.

KSQLDB and Stream Processing Tutorials - KSQLDB 101

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