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Oreilly - Data Engineering Foundations Part 2 Building Data Pipelines with Kafka and Nifi

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Title: OreillyGroup: NOGRPSource: Oreilly
Info Hash
1CDD0DF4F72D24698E26B76639FFC9EC38C5545E
Source
Unverified
Total Size
988.72 MB
Total Files
15
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
Lesson 9 Big Data Movement and Storage/003. 9.2 Use HBase with Python.mp4126.67 MB
Lesson 7 Working with the Kafka Message Broker/001. Learning objectives.mp43.79 MB
Lesson 7 Working with the Kafka Message Broker/002. 7.1 Understand Kafka topics, brokers, and partitions.mp490.3 MB
Lesson 7 Working with the Kafka Message Broker/003. 7.2 Implement basic Kafka usage modes.mp4103.66 MB
Lesson 7 Working with the Kafka Message Broker/004. 7.3 Use Kafka producers and consumers with Python.mp478.21 MB
Lesson 7 Working with the Kafka Message Broker/005. 7.4 Use the KafkaEsque graphical user interface.mp448.08 MB
Lesson 8 Working with NiFi Dataflow/001. Learning objectives.mp44.31 MB
Lesson 8 Working with NiFi Dataflow/002. 8.1 Understand the core concepts of NiFi.mp450.06 MB
Lesson 8 Working with NiFi Dataflow/003. 8.2 Understand NiFi flow and web UI components.mp494.92 MB
Lesson 8 Working with NiFi Dataflow/004. 8.3 Understand a NiFi web UI example.mp4123.86 MB
Lesson 9 Big Data Movement and Storage/001. Learning objectives.mp44.8 MB
Lesson 9 Big Data Movement and Storage/002. 9.1 Understand direct data movement with HDFS.mp4108.43 MB
Introduction/001. Data Engineering Foundations Introduction.mp424.95 MB
Lesson 9 Big Data Movement and Storage/004. 9.3 Use Sqoop for database movement.mp4116.25 MB
Summary/001. Data Engineering Foundations Summary.mp410.41 MB

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