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Learn Apache Kafka for Beginners

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Stephane Maarek

8:13:07

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  • 01 - Kafka course introduction.mp4
    02:32
  • 02 - Apache Kafka in five minutes.mp4
    05:19
  • 03 - Course objectives.mp4
    03:57
  • 01 - Topics, partitions, and offsets.mp4
    06:10
  • 02 - Producers and message keys.mp4
    07:24
  • 03 - Consumers and deserialization.mp4
    04:01
  • 04 - Consumer groups and consumer offsets.mp4
    07:04
  • 05 - Brokers and topics.mp4
    04:28
  • 06 - Topic replication.mp4
    05:30
  • 07 - Producer acknowledgments and topic durability.mp4
    02:09
  • 08 - ZooKeeper.mp4
    05:14
  • 09 - Kafka KRaft Removing ZooKeeper.mp4
    01:58
  • 10 - Theory roundup.mp4
    01:33
  • 01 - Important Starting Kafka and lectures order.mp4
    04:22
  • 02 - Starting Kafka with Conduktor Multi-platform.mp4
    02:46
  • 03 - macOS X Download and set up Kafka in PATH.mp4
    06:37
  • 04 - macOS X Start ZooKeeper and Kafka.mp4
    03:49
  • 05 - macOS X Using brew.mp4
    04:08
  • 06 - Linux Download and set up Kafka in PATH.mp4
    07:32
  • 07 - Linux Start ZooKeeper and Kafka.mp4
    03:45
  • 08 - Windows WSL2 Download Kafka and PATH setup.mp4
    08:03
  • 09 - Windows WSL2 Start ZooKeeper and Kafka.mp4
    03:20
  • 10 - Windows WSL2 How to fix problems.mp4
    05:27
  • 11 - Windows non-WSL2 Start ZooKeeper and Kafka.mp4
    08:31
  • 01 - macOS X Start Kafka in KRaft mode.mp4
    03:39
  • 02 - Linux Start Kafka in KRaft mode.mp4
    03:22
  • 03 - Windows WSL2 Start Kafka in KRaft mode.mp4
    03:20
  • 01 - CLI introduction.mp4
    03:02
  • 02 - Kafka topics CLI.mp4
    10:26
  • 03 - Kafka console producer CLI.mp4
    07:32
  • 04 - Kafka console consumer CLI.mp4
    07:13
  • 05 - Kafka consumers in groups.mp4
    06:19
  • 06 - Kafka consumer groups CLI.mp4
    05:27
  • 07 - Resetting offsets.mp4
    03:47
  • 01 - Conduktor Demo.mp4
    06:32
  • 01 - Kafka SDK list.mp4
    01:14
  • 02 - Creating a Kafka project.mp4
    08:37
  • 03 - Java producer.mp4
    12:04
  • 04 - Java producer callbacks.mp4
    10:09
  • 05 - Java producer with keys.mp4
    04:56
  • 06 - Java consumer.mp4
    12:15
  • 07 - Java consumer Graceful shutdown.mp4
    06:49
  • 08 - Java consumer inside consumer group.mp4
    04:50
  • 09 - Java consumer incremental cooperative rebalance and static group membership.mp4
    07:13
  • 10 - Java consumer incremental cooperative rebalance Practice.mp4
    03:56
  • 11 - Java consumer auto offset commit behavior.mp4
    03:01
  • 12 - Programming Advanced tutorials.mp4
    01:36
  • 01 - Real-world project overview.mp4
    01:58
  • 01 - Wikimedia producer project setup.mp4
    06:25
  • 02 - Wikimedia producer implementation.mp4
    11:54
  • 03 - Wikimedia producer run.mp4
    02:40
  • 04 - Wikimedia producer Producer config intros.mp4
    00:45
  • 05 - Producer acknowledgments deep dive.mp4
    08:48
  • 06 - Producer retries.mp4
    03:03
  • 07 - Idempotent producer.mp4
    02:52
  • 08 - Safe Kafka producer settings.mp4
    01:59
  • 09 - Wikimedia producer safe producer implementation.mp4
    04:03
  • 10 - Kafka message compression.mp4
    04:47
  • 11 - linger.ms and batch.size producer settings.mp4
    03:23
  • 12 - Wikimedia producer high-throughput implementation.mp4
    03:16
  • 13 - Producer default partitioner and sticky partitioner.mp4
    04:18
  • 14 - [Advanced] max.block.ms and buffer.memory.mp4
    02:39
  • 01 - OpenSearch consumer Project overview.mp4
    00:52
  • 02 - OpenSearch consumer Project setup.mp4
    03:32
  • 03 - Setting up OpenSearch on Docker.mp4
    02:38
  • 04 - Setting up OpenSearch on the Cloud.mp4
    01:57
  • 05 - OpenSearch 101.mp4
    04:26
  • 06 - OpenSearch consumer implementation Part 1.mp4
    07:26
  • 07 - OpenSearch consumer implementation Part 2.mp4
    09:34
  • 08 - Consumer delivery semantics.mp4
    03:16
  • 09 - OpenSearch consumer implementation Part 3 idempotence.mp4
    05:29
  • 10 - Consumer offsets commit strategies.mp4
    04:38
  • 11 - OpenSearch consumer implementation Part 4 delivery semantics.mp4
    04:52
  • 12 - OpenSearch consumer implementation Part 5 batching data.mp4
    04:20
  • 13 - Consumer offset reset behavior.mp4
    02:06
  • 14 - OpenSearch consumer implementation Part 6 replaying data.mp4
    02:57
  • 15 - Consumer internal threads.mp4
    05:00
  • 16 - Consumer replica fetching Rack awareness.mp4
    02:50
  • 01 - Kafka extended APIs Overview.mp4
    01:23
  • 02 - Kafka Connect introduction.mp4
    02:32
  • 03 - Kafka Connect Wikimedia and Elasticsearch hands-on.mp4
    10:50
  • 04 - Kafka Streams introduction.mp4
    01:52
  • 05 - Kafka Streams hands-on.mp4
    04:25
  • 06 - Kafka Schema Registry introduction.mp4
    04:28
  • 07 - Kafka Schema Registry hands-on.mp4
    06:54
  • 08 - Which Kafka API should you use.mp4
    01:27
  • 01 - Choosing partition count and replication factor.mp4
    05:21
  • 02 - Kafka topics naming convention.mp4
    01:31
  • 03 - Case study MovieFlix.mp4
    05:10
  • 04 - Case study GetTaxi.mp4
    04:18
  • 05 - Case study MySocialMedia.mp4
    05:32
  • 06 - Case study MyBank.mp4
    03:41
  • 07 - Case study Big data ingestion.mp4
    01:36
  • 08 - Case study Logging and metrics aggregation.mp4
    01:08
  • 01 - Kafka cluster setup high-level architecture overview.mp4
    02:54
  • 02 - Kafka monitoring and operations.mp4
    02:39
  • 03 - Kafka security.mp4
    05:51
  • 04 - Kafka multi-cluster and MirrorMaker.mp4
    04:20
  • 05 - Advertised listeners Kafka client and server communication protocol.mp4
    03:56
  • 01 - Changing a topic configuration.mp4
    04:35
  • 02 - Segment and indexes.mp4
    04:04
  • 03 - Log cleanup policies.mp4
    02:53
  • 04 - Log cleanup delete.mp4
    02:27
  • 05 - Log compaction theory.mp4
    04:52
  • 06 - Log compaction practice.mp4
    04:49
  • 07 - Unclean leader election.mp4
    01:43
  • 08 - Large messages in Kafka.mp4
    02:49
  • 01 - Whats next.mp4
    01:26
  • Description


    Kafka is the leading open-source, enterprise-scale data streaming technology. It helps you move your data where you need it, in real time, reducing the headaches that come with integrations between multiple source and target systems. This training course helps you get started with all the fundamental Kafka operations, explore the Kafka CLI and APIs, and perform key tasks like building your own producers and consumers. Learn how to start a personal Kafka cluster on Mac, Windows, or Linux; master fundamental concepts including topics, partitions, brokers, producers, and consumers; and start writing, storing, and reading data with producers, topics, and consumers. Instructor Stephane Maarek includes practical use cases and examples, such as consuming data from sources like Wikipedia and Elasticsearch, that feature real-world architecture and production deployments. Stephane finishes the course with a look at some advanced topics, like log cleanup policies and Large messages in Kafka.

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    Stephane Maarek
    Stephane Maarek
    Instructor's Courses
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 108
    • duration 8:13:07
    • English subtitles has
    • Release Date 2023/07/02