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1
Introduction
2
What is Apache Kafka
3
Moving from an older system to a new one
4
Writing new services in Kafka
5
Kafka API
6
Kafka Applications
7
Platform
8
Stream Processing
9
Create a Kafka Topic
10
KSQL Topics
11
Deserialize Messages
12
Viewing Live Messages
13
Streams
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Stream Schema
15
Continuous Queries
16
Create Stream
17
Extended Ratings
18
Power Ratings
19
CaseEqual
20
Filter Messages
21
Aggregate Messages
22
transform
23
Kafka Connect
24
Pair JSON
25
Connectors
26
In Action
27
Demo
28
Kafka Topic
29
Kafka Model
30
Connecting to the Database
31
Model a Kafka Topic
32
Before and After
33
Half Go Summit
34
Outro
Description:
Explore the power of Apache Kafka and KSQL in this 30-minute Devoxx conference talk. Learn how to build a streaming data pipeline without extensive programming knowledge. Discover the architectural benefits of Apache Kafka as a scalable, fault-tolerant streaming platform. Dive into real-time integration using Kafka Connect to seamlessly integrate with various data stores. Witness the simplicity of stream processing with KSQL's SQL-like interface. Follow along as the speaker demonstrates filtering events in real-time, enriching data streams with RDBMS information, and leveraging streaming aggregates for anomaly detection. Gain insights into topics such as Kafka APIs, applications, and stream processing. Observe the creation of Kafka topics, KSQL topics, and continuous queries. Understand the process of deserializing messages, viewing live data, and working with stream schemas. Learn about extended ratings, power ratings, and message transformation. Explore Kafka Connect features, including JSON connectors and database integration. Witness a live demo showcasing the entire process, from creating Kafka topics to modeling data and connecting to databases. Walk away with a comprehensive understanding of building efficient streaming data pipelines using Apache Kafka and KSQL. Read more

Apache Kafka and KSQL in Action - Let’s Build a Streaming Data Pipeline

Devoxx
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