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Oreilly - Data Engineering Foundations Part 2 Building Data Pipelines with Kafka and Nifi
- Date: 2026-03-21
- Size: 989 MB
- Files: 15
File Name
Size
Lesson 9 Big Data Movement and Storage/003. 9.2 Use HBase with Python.mp4
127 MB
Lesson 7 Working with the Kafka Message Broker/001. Learning objectives.mp4
3.8 MB
Lesson 7 Working with the Kafka Message Broker/002. 7.1 Understand Kafka topics, brokers, and partitions.mp4
90 MB
Lesson 7 Working with the Kafka Message Broker/003. 7.2 Implement basic Kafka usage modes.mp4
104 MB
Lesson 7 Working with the Kafka Message Broker/004. 7.3 Use Kafka producers and consumers with Python.mp4
78 MB
Lesson 7 Working with the Kafka Message Broker/005. 7.4 Use the KafkaEsque graphical user interface.mp4
48 MB
Lesson 8 Working with NiFi Dataflow/001. Learning objectives.mp4
4.3 MB
Lesson 8 Working with NiFi Dataflow/002. 8.1 Understand the core concepts of NiFi.mp4
50 MB
Lesson 8 Working with NiFi Dataflow/003. 8.2 Understand NiFi flow and web UI components.mp4
95 MB
Lesson 8 Working with NiFi Dataflow/004. 8.3 Understand a NiFi web UI example.mp4
124 MB
Lesson 9 Big Data Movement and Storage/001. Learning objectives.mp4
4.8 MB
Lesson 9 Big Data Movement and Storage/002. 9.1 Understand direct data movement with HDFS.mp4
108 MB
Introduction/001. Data Engineering Foundations Introduction.mp4
25 MB
Lesson 9 Big Data Movement and Storage/004. 9.3 Use Sqoop for database movement.mp4
116 MB
Summary/001. Data Engineering Foundations Summary.mp4
10 MB