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Confluent ksqlDB complete course-Build streaming app by SQL

سرفصل های دوره

Kafka streams,Kafka Connect,The database purpose-built for stream processing applications. Build streaming app by sql


1. Course Introduction
  • 1. Course overview Introduction and agenda
  • 2. Prerequisites

  • 2. Meet Confluent KSQL And ksqlDB
  • 1. Meet ksqldb section content overview
  • 2. What is ksqlDB
  • 3. ksqlDB Features and Benefits
  • 4. ksqlDB vs kafka streams framework
  • 5. ksqlDB Architecure and internal components
  • 6. ksqlDB cluster deploy mode(interactive and headless)

  • 3. ksqlDB installation And quick start
  • 1. ksqlDB installation And quick start contents overview
  • 2.1 zookeeper kafka installation.txt
  • 2. Apache Zookeeper And Kafka Cluster installation
  • 3.1 ksqldb installation.txt
  • 3. Confluent ksqlDB server installation
  • 4.1 create first stream.txt
  • 4. Create the first streaming application by ksql statement
  • 5.1 run scripts.zip
  • 5. Run sql scripts file at ksqlDB(batch submit queries statement)
  • 6.1 Execute Specific Statements and Quit.txt
  • 6. Execute Specific Statements and Quit
  • 7.1 headless.zip
  • 7. ksqlDB headless deploy mode(lock down the Interactive)
  • 8. ksqlDB query statement execution lifecycle
  • 9. Which SQL operations are supported in headless mode.html
  • 10. Run a list of predefined queries and a file by using RUN SCRIPT.html

  • 4. Stream processing basics with ksqlDB
  • 1. Stream processing basics with ksqlDB contents overview
  • 2.1 Data Types.txt
  • 2. ksqlDB simple data types and compound data types
  • 3.1 Custom Types.txt
  • 3. ksqlDB support custom brand-new data types
  • 4. ksqlDB Serialization and Serialization Formats
  • 5.1 CSV Format.txt
  • 5. ksqlDB DELIMITED Serialization Formats process CSV Data
  • 6.1 schema registry integration with ksqldb.txt
  • 6. ksqlDB JSON SR Serialization Formats and Confluent Schema Registry Installation
  • 7.1 JSON SR Format.txt
  • 7.2 producerclientwithsr.zip
  • 7. Lab ksqlDB integration with Schema Registry process JSON SR Formats Data
  • 8. ksqlDB collections introduction Stream And Table
  • 9.1 Create source collection(stream And table)-I.txt
  • 9. ksqlDB create source collections(streamsAndtables) syntax and examples-I
  • 10.1 Create source collection(stream And table)-II.txt
  • 10. ksqlDB create source collections(streamsAndtables) syntax and examples-II
  • 11. ksqlDB time semantics and custom timestamp column
  • 12.1 Custom timestamp column.txt
  • 12. Lab ksqlDB time semantics and custom timestamp column
  • 13.1 Manipulation Collections.txt
  • 13. Manipulation Collections(ShowDescribeAlterDrop)
  • 14.1 Basic Queries.txt
  • 14. ksqlDB collections basic queries and examples
  • 15.1 Conditional Expressions in collection where clause queries.txt
  • 15. Conditional Expression in collection where clause queries(handle NULL value)
  • 16.1 Creating Derived Collections(CSAS and CTAS).txt
  • 16. Creating Derived Collections(CSAS and CTAS) syntax and examples
  • 17.1 Persistent Queries-Writing Results Back to Kafka target topic.txt
  • 17. Persistent Queries-Writing Results Back to Kafka target topic
  • 18.1 word count.txt
  • 18. Lab ksqlDB implement WordCount application by ksql query statement
  • 19. Explain statement - Show the execution plan for a SQL expression
  • 20.1 xmall.txt
  • 20. Lab ksqlDB implement XMall transaction data real-time analysis application
  • 21.1 variables.txt
  • 21. Extra Defines a variable to be used within SQL statements
  • 22. About Streams and Tables, which statement is incorrect.html

  • 5. Advanced Stream Processing with ksqlDB and Kafka Connect
  • 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

  • 6. ksqlDB Functions(UDF And UDTF AndUDAF)
  • 1. ksqlDB Functions(UDF And UDTF AndUDAF) contents overview
  • 2.1 udf-scalar function.txt
  • 2. ksqlDB function custom Scalar functions(UDF) implement compute BMI formula
  • 3.1 udf-tabular functions.txt
  • 3. ksqlDB function custom Tabular functions(UDTF) implement split and explode
  • 4.1 udf- aggragator function.txt
  • 4. ksqlDB function custom Aggregation functions(UDAF) implement MAX2 applied table
  • 5.1 lambda functions.txt
  • 5. ksqlDB Use lambda functions

  • 7. ksqlDB Clients
  • 1.1 ksqlDB rest API.txt
  • 1. ksqlDB REST API
  • 2. ksqlDB Java Clients - interactive ksqlDB collections by Java code
  • 3. ksqlDB Java Client Example(list streams And asynchronous query)
  • 4. ksqlDB Java Client Example(synchronous query And batch query)

  • 8. PowerPoint and Source Code Download
  • 1.1 Confluent KSQLDB.pptx
  • 1.2 confluent-ksqldb.zip
  • 1. Feel Free Download.html
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    مدت زمان: 350 دقیقه
    تاریخ انتشار: ۲۹ خرداد ۱۴۰۲
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