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Kafka Streams API For Developers using JavaSpringBoot
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[TutsNode.net] - Kafka Streams API For Developers using JavaSpringBoot (Size: 5.48 GB) (Files: 312)
[TutsNode.net] - Kafka Streams API For Developers using JavaSpringBoot
17. StateFul Operations in Kafka Streams - Windowing
2. Windowing in Kafka Streams - Tumbling Windows.mp4
5.1 13.5-sliding-windows.zip
4.1 13.4-hopping-windows.zip
3.1 13.3-supress.zip
2.1 13.2-tumbling-windows.zip
3. Control emission of windowed results using supress operartor.mp4
5. Windowing in Kafka Streams - Sliding Windows.mp4
4. Windowing in Kafka Streams - Hopping Windows.mp4
1. Introduction to Windowing and time concepts.mp4
10. KTable & Global KTable
4. Assignment - Implement the mapValues operator in KTable.html
5.1 7.4-global-k-table.zip
2. Build a topology for KTable.mp4
3. KTable - Under the Hood.mp4
2.1 7.2-ktable-handson.zip
5. GlobalKTable.mp4
1. Introduction to KTable API.mp4
16. Join in Order Management Application - A Real Time Use Case
2. Join Aggregate Count with Stores KTable.html
1. Join Aggregate Revenue with StoreDetails KTable.mp4
25. Interactive Queries - Querying State Stores using RESTFUL APIs
7. Assignment Retrieve Revenue by OrderType & LocationId.html
6.1 21.5-global-error-handler.zip
5.1 21.4-get-endpoint-orderRevenue.zip
4.1 21.3-get-endpoint-all-ordercount.zip
1. Build a GET Endpoint to retrieve the OrderCount by OrderType - Part 1.mp4
3.1 21.2-get-endpoint-orderCount.zip
2.1 21.1-get-endpoint-orderCount-part2.zip
1.1 21.1-get-endpoint-orderCount-part1.zip
5. Build a GET Endpoint to retrieve the Revenue by OrderType.mp4
2. Build a GET Endpoint to retrieve the OrderCount by OrderType - Part 2.mp4
4. Build a GET Endpoint to retrieve the OrderCount for All OrderTypes.mp4
3. Retrieve OrderCount by OrderType & LocationId.mp4
6. Global Error Handling for useful Client Error Messages.mp4
27. Testing Kafka Streams Using TopologyTestDriver & JUnit5
1.1 Testing Streams Code.html
8.1 23.8-topology-test-driver-limitations.zip
7.1 23.7-unit-testing-orders-Revenue-by-windows.zip
6.1 23.6-unit-testing-orders-Revenue.zip
5.1 23.5-unit-testing-orders-count.zip
4.1 23.4-unit-testing-greetings-app-error.zip
3.1 23.3-unit-testing-greetings-app-multiple-messages.zip
2.1 23.2-unit-testing-greetings-app.zip
7. Unit Testing OrdersRevenue By Windows - Writing Data to a State Store.mp4
2. Unit Testing Greetings App - Writing Data to a Output Topic.mp4
5. Unit Testing OrdersCount - Writing Data to a State Store.mp4
6. Unit Testing OrdersRevenue - Writing Data to a State Store.mp4
8. Limitations of TopologyTestDriver.mp4
3. Unit Testing Greetings App - Testing Multiple Messages.mp4
4. Unit Testing Greetings App - Error Scenario.mp4
1. Testing Kafka Streams using TopologyTestDriver.mp4
15. StateFul Operations in Kafka Streams - Join
8.2 Kafka Commands Link.html
2. Explore innerJoin using join operator - Joining KStream and KTable.mp4
8.1 11.8-under-the-hood.zip
5. Explore innerJoin using join operator - Joining KStream and KStream.mp4
9.1 11.9-co-partioning.zip
5.1 11.5-join-kstream-kstream.zip
7.1 11.7-outerjoin.zip
6.1 11.6-leftjoin.zip
4.1 11.4-join-ktable-ktable.zip
3.1 11.3-join-kstream-globalktable.zip
2.1 11.2-join-kstream-ktable.zip
9. CoPartitioning Requirements in Joins.mp4
8. Join - Under the hood.mp4
4. Explore innerJoin using join operator - Joining KTable and KTable.mp4
3. Explore innerJoin using join operator - Joining KStream and GlobalKTable.mp4
7. Joining Kafka Streams using outerJoin operator.mp4
6. Joining Kafka Streams using leftJoin operator.mp4
1. Introduction to Joins & Types of Joins in Kafka Streams.mp4
23. Error Handling in Spring Kafka Streams
3.2 Spring for Kafka Reference Link.html
4. Handle UncaughtExceptions in the Topology.mp4
3.1 19.3-spring-deserialization-approach3.zip
3. Handle DeSerialization Errors using Spring Specific Approach- Approach 3.mp4
5.1 19.5-spring-production-errors.zip
4.1 19.4-spring-uncaught-exception.zip
2.1 19.2-spring-deserialization-approach2.zip
1.1 19.1-spring-deserialization-approach1.zip
1. Handle DeSerialization Error - Approach 1.mp4
2. Handle DeSerialization Error using Custom Error Handler - Approach 2.mp4
5. Handle Production Errors.mp4
3. Greetings Kafka Streams App using KStreams API
2.2 Github Link.html
2.1 2.2-greetings-app-setup.zip
5. Setting Up Kafka Environment and Test our Greeting App.mp4
4. Build the Kafka Streams Launcher Application.mp4
3.1 2.3-greetings-app-topology.zip
4.1 2.4-greetings-launcher-app.zip
5.1 2.5-kafka-setup-test.zip
3. Topology of the Greetings App.mp4
2. Setup the Greetings App.mp4
1. Overview of the Greetings App.mp4
26. Interactive Queries - Querying Window State Stores using RESTFUL APIs
1. Build a GET Endpoint to Retrieve OrderCount by OrderType.mp4
3.1 22.3-get-windows-order-count-within-range.zip
2.1 22.2-get-windows-order-count-all-types.zip
1.1 22.1-get-windows-order-count-bytype.zip
3. Build a GET endpoint to retrieve the windowed OrderCount within a Time Range.mp4
4. Build a GET Endpoint to retrieve the Revenue by OrderType.mp4
2. Build a GET Endpoint to Retrieve the windowed OrderCount for All OrderTypes.mp4
18. Widowing in Order Management Application - A Real Time Use Case
3. Aggregate Number of Orders by Windows.mp4
4. Aggregate Revenue by Windows.mp4
5.1 14.5-joins-inwindowed-data.zip
4.1 14.4-aggregate-orders-by-windows.zip
3.1 14.3-aggregate-orders-by-windows.zip
2.1 14.2-custom-timestamp-extractor.zip
5. Joins on the Windowed Data.mp4
2. Implementing a CustomTimeStamp Extractor.mp4
1. New Requirements for the Order Management Application.mp4
22. JSON SerializationDeserialization in Spring Kafka Streams
2.1 18.2-jackson-custom-objectmapper.zip
1. JSON SerializationDeserialization using JsonSerde.mp4
1.1 18.1-custom-serialization-deserialization.zip
2. JsonSerde using custom ObjectMapper.mp4
13. Aggregation in Order Management Application - A Real Time Use Case
2. Total Revenue by each store using aggregate operator.mp4
2.1 9.2-order-management-aggregate.zip
1.1 9.1-order-management-count.zip
1. Total number of orders by each store using count operator.mp4
9. ErrorException Handling in Kafka Streams
4. Default & Custom Processor Error Handler.mp4
4.1 6.6-default-custom-processor-error-handler.zip
5.1 6.7-default-custom-production-handler.zip
3.1 6.5-custom-deserialization-error-handler.zip
2.1 6.4-default-deserialization-error-handler.zip
2. Default Deserialization Error Behavior.mp4
3. Custom Deserialization Error Handler.mp4
5. Custom Production Error Handler.mp4
6. Error handling when Kafka Cluster is down.mp4
1. Failures in Kafka Streams.mp4
31. Build and Package the SpringBoot App as an Executable
1.1 27.1-kafka-streams-jar.zip
1. Package the SpringBoot app and execute it as a Jar File.mp4
11. StateFul Operations in Kafka Streams - Aggregate, Join and Windowing Events
5. Aggregation using aggregate operator.mp4
2. What is Aggregation & How it works .mp4
6.1 8.5-count-reduce-materialized-views.zip
5.1 8.4-aggregation-aggregate.zip
4.1 8.3-aggregation-reduce.zip
3.1 8.2.1-aggregation-count-groupby.zip
2.1 8.2-aggregation-count.zip
4. Aggregation using reduce operator.mp4
3. Aggregation using count operator.mp4
6. Using Materialized Store for count & reduce operator.mp4
1. StateFul Operations in Kafka Streams.mp4
24. Build Orders Kafka Streams Application using SpringBoot
2.1 20.2-orders-streams-setup-topology.zip
2. Create the OrdersTopology.mp4
1. Set up the base project for Orders Kafka Streams App.mp4
20. Build Kafka Streams Application using SpringBoot
2.1 17.2-set-up-springboot-kafka-streams.zip
3.1 17.3-configure-spring-kafka-streams.zip
4.1 17.4-spring-kafka-streams-topology.zip
5.1 17.5-test-spring-kafka-streams.zip.zip
4. Build the Greeting Topology.mp4
5. Test Greeting App in Local.mp4
3. Configuring the Kafka Stream using application.yml.mp4
2. Setup the Project - Greeting Streams app using Spring Kafka Streams.mp4
1. Introduction to SpringBoot and Kafka Streams.mp4
7. Order Management Kafka Streams application - A real time use case
1.1 5.1-overview-of-retail-app.zip
3. Split the RestaurantRetail Shopping Orders - Using split and branch operator.mp4
2. Build the Topology for the Orders Management App.mp4
4.1 5.4-transform-order-revenue.zip
3.1 5.3-branch-split-retail-app.zip
2.1 5.2-orders-topology.zip
4. Transform the Order Domain to a Revenue Domain Type.mp4
1. Overview of the Retail App.mp4
29. Integration Testing Spring KafkaStreams App using @EmbeddedKafka
2. Integration Test for OrdersCount.mp4
3.1 25.3-intg-test-orders-revenue.zip
4.1 25.4-intg-test-orders-revenue-by-windows.zip
2.1 25.2-intg-test-orders-count.zip
1.1 25.1-intg-test.zip
3. Integration Test for OrdersRevenue.mp4
4. Integration Test for OrdersRevenue By Windows.mp4
1. Introduction & SetUp Integration Test.mp4
30. Grace Period in Kafka Streams
1.1 26.1-grace-period.zip
1. Grace Period in Windowing.mp4
28. Testing Kafka Streams in SpringBoot Using TopologyTestDriver & JUnit5
1.1 24.1-topologyTestdriver-springboot.zip
1. UnitTest Using TopologyTestDriver in SpringBoot.mp4
19. Behavior of Records with Future & Older Timestamp in Windowing
1.1 16.1-timestamp-behavior.zip
1. Records with timestamps before & after the CurrentTimestamp..mp4
5. Serialization and Deserialization in Kafka Streams
4.1 4.3-integrate-custom-serdes.zip
4. Usage of CustomSerde in the Greeting App.mp4
3.1 4.2-custom-serdes.zip
2.1 4.1.1-serdes-config.zip
3. Build a Custom Serdes for Enhanced Greeting Messages.mp4
2. Providing Default SerializerDeserializer using Application Configuration.mp4
1. How KeyValue serialization and deserialization works in Kafka Streams .mp4
14. Re-Keying Kafka Records for Stateful operations
2.1 10.2-rekey-selectkey.zip
1.1 10.1-null-keys-in-stateful-operations.zip
1. Effect of null Key in Stateful Operations & Repartition of Kafka Records.mp4
2. Re-Keying using the selectKey operator.mp4
6. Reusable Generic SerializerDeserializer (Recommended Approach)
2.1 4.5-integrate-generic-serdes.zip
1.1 4.4-build-generic-serdes.zip
1. Build a Generic SerializerDeserializer.mp4
2. Integrate Generic SerializerDeserializer into the Greeting App.mp4
8. Topology, Stream and Tasks - Under the Hood
2.1 6.2-streams-modify-property.zip
2. Explore the behavior of streams by modifying the stream threads.mp4
1. Internals of Topology, Stream and Tasks.mp4
4. Operators in Kafka Streams using KStream API
4.1 3.4-peek.zip
5.1 3.5-merge.zip
3.1 3.3-flatMap-flatmapValues.zip
1.1 3.1-filter-filternot.zip
2.1 3.2-map.zip
3. FlatMapValuesFlatMap.mp4
4. peek.mp4
5. merge.mp4
1. Filter & FilterNot.mp4
2. MapMapValues.mp4
21. SpringBoot AutoConfiguration of Kafka Streams
1. Internals of AutoConfiguring Kafka Streams in SpringBoot.mp4
2. Getting Started to Kafka Streams
1. Introduction to Kafka Streams.mp4
2. Kafka Streams Terminologies - Topology & Processor.mp4
3. Introduction to KStreams API.mp4
1. Getting Started With the Course
1. Course Introduction.mp4
2. Pre-requestites.mp4
12. StateFul Operation Results - How to access them
1. How to access the results of Aggregation .mp4
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