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Oreilly - Data Engineering Foundations Part 1 Using Spark, Hive, and Hadoop Scalable Tools
- Date: 2026-03-22
- Size: 7.7 GB
- Files: 30
File Name
Size
021 4.5 Use the MapReduce (YARN) web interface.mp4
819 MB
002 Learning objectives.mp4
17 MB
003 1.1 Understand big data and data analytics concepts.mp4
274 MB
004 1.2 Understand Hadoop as a big data platform.mp4
375 MB
005 1.3 Understand Hadoop MapReduce basics.mp4
258 MB
006 1.4 Understand Spark language basics.mp4
226 MB
007 Learning objectives.mp4
22 MB
008 2.1 Understand scalable concepts.mp4
131 MB
009 2.2 Emulate scalable systems.mp4
114 MB
010 2.3 Use Linux command line analytics tools.mp4
758 MB
011 2.4 Use the Zeppelin web notebook.mp4
278 MB
012 Learning objectives.mp4
14 MB
013 3.1 Understand HDFS basics.mp4
321 MB
014 3.2 Use HDFS command line tools.mp4
553 MB
015 3.3 Use the HDFS web interface.mp4
172 MB
016 Learning objectives.mp4
21 MB
017 4.1 Understand the MapReduce paradigm and platform.mp4
392 MB
018 4.2 Understand parallel MapReduce.mp4
148 MB
019 4.3 Run MapReduce examples.mp4
738 MB
020 4.4 Use the Streaming interface.mp4
662 MB
001 Data Engineering Foundations - Introduction.mp4
172 MB
022 Learning objectives.mp4
15 MB
023 5.1 Run a Hive 'SQL' example using the command line.mp4
721 MB
024 5.2 Run a Hive example using a Zeppelin notebook.mp4
245 MB
025 Learning objectives.mp4
31 MB
026 6.1 Understand Spark language basics.mp4
52 MB
027 6.2 Understand SparkSession and Context.mp4
107 MB
028 6.3 Use PySpark for MapReduce programing.mp4
113 MB
029 6.4 Run a PySpark example using a Zeppelin notebook.mp4
77 MB
030 Data Engineering Foundations - Summary.mp4
18 MB