This course covers the following learning outcomes and goals: understanding ksqlDB, building streaming applications with KSQL, integrating KSQL with Kafka Connect, querying tables, processing unbounded data, enriching data, performing aggregations, and taking KSQL to production. The course teaches individual skills such as installing and running KSQL, reading Kafka data, using insert into statements, working with nested data, and performing stream-stream and table-table joins. The teaching method includes demos, presentations, and practical examples. The intended audience for this course includes data engineers, software developers, and anyone interested in stream processing with Apache Kafka and ksqlDB.
Overview
Syllabus
ksqlDB Demo | The Event Streaming Database in Action.
KSQL Preview: Kafka Connect Integration and Queriable Tables | Kafka Summit SF 2019.
KSQL and Other Stream Processing Tools in Kafka | Nick Dearden, Confluent.
Demo: Build a Streaming Application with KSQL.
KSQL from Confluent | Streaming SQL for Apache Kafka® (4.1).
Confluent Takes KSQL for a Spin with Go Karts and Project Cars.
KSQL Introduction | Level Up your KSQL by Confluent.
KSQL and Core Kafka | Level Up your KSQL by Confluent.
KSQL Use Cases | Level Up your KSQL by Confluent.
Installing and Running KSQL | Level Up your KSQL by Confluent.
KSQL Streams and Tables | Level Up your KSQL by Confluent.
Reading Kafka Data from KSQL | Level Up your KSQL by Confluent.
Streaming and Unbounded Data in KSQL | Level Up your KSQL by Confluent.
Enriching data with KSQL | Level Up your KSQL by Confluent.
Aggregations in KSQL | Level Up your KSQL by Confluent.
Taking KSQL to Production | Level Up your KSQL by Confluent.
Insert Into | Level Up your KSQL by Confluent.
Struct (Nested Data) | Level Up your KSQL by Confluent.
KSQL Use Cases with Nick Dearden | Streaming Audio Podcast.
Stream-Stream Joins | Level Up your KSQL by Confluent.
Table-Table Joins | Level Up your KSQL by Confluent.
Taught by
Confluent
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