Oreilly - Data Engineering Foundations Part 1 Using Spark, Hive, and Hadoop Scalable Tools
File List
- 021 4.5 Use the MapReduce (YARN) web interface.mp4 818.8 MB
- 010 2.3 Use Linux command line analytics tools.mp4 758.2 MB
- 019 4.3 Run MapReduce examples.mp4 738.1 MB
- 023 5.1 Run a Hive 'SQL' example using the command line.mp4 721.3 MB
- 020 4.4 Use the Streaming interface.mp4 662.2 MB
- 014 3.2 Use HDFS command line tools.mp4 553.0 MB
- 017 4.1 Understand the MapReduce paradigm and platform.mp4 392.3 MB
- 004 1.2 Understand Hadoop as a big data platform.mp4 375.4 MB
- 013 3.1 Understand HDFS basics.mp4 321.1 MB
- 011 2.4 Use the Zeppelin web notebook.mp4 278.2 MB
- 003 1.1 Understand big data and data analytics concepts.mp4 273.9 MB
- 005 1.3 Understand Hadoop MapReduce basics.mp4 257.7 MB
- 024 5.2 Run a Hive example using a Zeppelin notebook.mp4 245.3 MB
- 006 1.4 Understand Spark language basics.mp4 225.7 MB
- 015 3.3 Use the HDFS web interface.mp4 172.3 MB
- 001 Data Engineering Foundations - Introduction.mp4 172.0 MB
- 018 4.2 Understand parallel MapReduce.mp4 147.9 MB
- 008 2.1 Understand scalable concepts.mp4 130.7 MB
- 009 2.2 Emulate scalable systems.mp4 113.7 MB
- 028 6.3 Use PySpark for MapReduce programing.mp4 112.8 MB
- 027 6.2 Understand SparkSession and Context.mp4 107.4 MB
- 029 6.4 Run a PySpark example using a Zeppelin notebook.mp4 77.0 MB
- 026 6.1 Understand Spark language basics.mp4 52.3 MB
- 025 Learning objectives.mp4 31.3 MB
- 007 Learning objectives.mp4 21.9 MB
- 016 Learning objectives.mp4 20.8 MB
- 030 Data Engineering Foundations - Summary.mp4 17.5 MB
- 002 Learning objectives.mp4 17.0 MB
- 022 Learning objectives.mp4 14.7 MB
- 012 Learning objectives.mp4 13.7 MB
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