1. Advanced Stream Processing with ksqlDB and Kafka Connect contents overview
2. ksqlDB collections joins and windowed
3.1 streams join streams.txt
3. ksqlDB stream join(innerleftfull) another stream with windowed
4.1 streams join tables.txt
4. ksqlDB stream join(innerleft) another table
5.1 tables join tables.txt
5. ksqlDB table primary key join(innerleftfull) another table
6. ksqlDB table foreign key join(innerleft) another table
7. ksqlDB collections grouping clause And aggregating function
8.1 grouping and aggregate.txt
8. The group by clause basic queries and examples
9. Which sql statement is correct in group by clause.html
10. Lab ksqlDB grouping clause build sales champion application
11. ksqlDB time and windows
12. Which type of time window not support in ksqlAndksqlDB.html
13.1 tumbling time window.txt
13. ksqlDB Tumbling time window and network potential attack analysis by realtime
14.1 suppress windowed.txt
14. ksqlDB suppress windowed intermediate computation result to downstream(suppress)
15.1 hopping time window.txt
15. ksqlDB Hopping time window and analysis Twitter hot words by realtime
16.1 session time window.txt
16. ksqlDB Session time window and analysis web visit stats during a valid session
17. Apache Kafka Connect introduction
18.1 Apache Kafka Connect.txt
18. Apache Kafka Connect distributed cluster setup
19. Apache Kafka connect install connector plugins and create FileSource Connector
20.1 ksqlDB integrate Kafka connect cluster.txt
20. ksqlDB integrate Kafka Connect distributed cluster define FileSource connector
21.1 confluentinc-kafka-connect-jdbc-10.7.0.zip
21.2 Kafka Connect Install SQL Connector.txt
21.3 mysql-connector-java-8.0.29.zip
21.4 patient.zip
21. Heartbeat sensor data realtime analysis patient health monitor-JDBC Connector
22. Lab Heartbeat sensor data real-time analysis patient health monitoring
23. ksqlDB Materialized Views