[ CourseWikia.Com ] Oreilly - Kafka Essentials LiveLessons - A Quick-Start For Building Effective Data Pipelines

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[ CourseWikia.com ] Oreilly - Kafka Essentials LiveLessons - A Quick-Start for Building Effective Data Pipelines

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[ CourseWikia.com ] Oreilly - Kafka Essentials LiveLessons - A Quick-Start for Building Effective Data Pipelines.torrent
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[ CourseWikia.com ] Kafka Essentials LiveLessons: A Quick-Start for Building Effective Data Pipelines



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Released 7/2023

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 3h 16m | Size: 658 MB



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Kafka Essentials: A Quick-Start for Building Effective Data Pipelines

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Pearson Publishing is an established educational publisher, software developer, and provider of training systems. Specialising in mobile learning, it helps raise achievement, improve staff performance and reduce costs.



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/Bonus Resources.txt386 B
~Get Your Files Here !/Lesson 1 Kafka Background Concepts/001. 1.1 Why Do I need a Message Broker.mp434.4 MB
~Get Your Files Here !/Lesson 1 Kafka Background Concepts/002. 1.2 Understanding Kafka Components.mp473.9 MB
~Get Your Files Here !/Lesson 1 Kafka Background Concepts/003. 1.3 Running Kafka on the LHM Virtual Machine.mp475.3 MB
~Get Your Files Here !/Lesson 1 Kafka Background Concepts/004. 1.4 Understand Basic Kafka Usage.mp4123.7 MB
~Get Your Files Here !/Lesson 2 Viewing Kafka Operations/001. 2.1 Exploring the KafkaEsque UI Features.mp456.5 MB
~Get Your Files Here !/Lesson 2 Viewing Kafka Operations/002. 2.2 Replay Basic Examples with KafkaEsque.mp467.9 MB
~Get Your Files Here !/Lesson 3 Streaming NOAA Weather Data with Kafka Python/001. 3.1 Understand Components Kafka, Python, NOAA-sdk.mp477.5 MB
~Get Your Files Here !/Lesson 3 Streaming NOAA Weather Data with Kafka Python/002. 3.2 Construct a Python Producer using keys, synchronization, and serialization.mp456.6 MB
~Get Your Files Here !/Lesson 3 Streaming NOAA Weather Data with Kafka Python/003. 3.3 Construct a Python Consumer using groups, partition rebalancing, commits and offsets.mp491.5 MB

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