Processing Data: Getting Started with Apache Kafka
Apache Kafka 3.2
| Beginner
- 11 Videos | 1h 31m 44s
- Includes Assessment
- Earns a Badge
Apache Kafka is a popular event streaming platform used by Fortune 100 companies for both real-time and batch data processing. In this course, you will explore the characteristics of event streaming and how Kafka architecture allows for scalable streaming data. Install Kafka and create some topics, which are essentially channels of communication between apps and data. Set up and work with multiple topics for durable storage. Create multiple brokers and cluster of nodes to handle messages and store their replicas. Then, monitor the settings and logs for those brokers. Finally, see how topic partitions and replicas provide redundancy and maintain high availability.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursecontrast batch, streaming, and micro-batch processingoutline a use case for and the services offered by Apache Kafkarecall why brokers, partitions, and replicas are used in Kafkainstall and set up Apache Kafkaproduce and consume basic messages with a Kafka topic
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create multiple topics and perform cleanup operations for topicsconfigure multiple Apache Kafka brokersprovision a Kafka environment with multiple brokerscreate and use topics with partitions and replicassummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 20sUP NEXT
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2.Work with Real-time Data10m 22s
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3.Stream Events with Kafka11m 49s
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4.Kafka Topics6m 37s
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5.Downloading and Installing Kafka7m 48s
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6.Creating a Topic, Producer, and Consumer with Kafka10m 54s
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7.Working with Multiple Kafka Topics9m 7s
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8.Configuring a Multi-node Kafka Cluster12m 39s
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9.Monitoring a Kafka Cluster6m 52s
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10.Using Partitions and Replicas with Kafka11m 56s
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11.Course Summary2m 20s
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