Author
Lynn Langit
Released
1/20/2015- Understanding Hadoop core components: HDFS and MapReduce
- Setting up your Hadoop development environment
- Working with the Hadoop file system
- Running and tracking Hadoop jobs
- Tuning MapReduce
- Understanding Hive and HBase
- Exploring Pig tools
- Building workflows
- Using other libraries, such as Impala, Mahout, and Storm
- Understanding Spark
- Visualizing Hadoop output
Skill Level Beginner
Duration
Views
- [Voiceover] Hi, I'm Lynn Langit, and welcome to Hadoop Fundamentals. Hadoop is a set of technologies that's used to store and process huge amounts of data. In this course, I'll focus on using Hadoop to process data, rather than setting up and administering it. We'll take a look at business scenarios where Hadoop is an appropriate tool. I'll also cover libraries, such as MapReduce 1.0 and MapReduce 2.0. In addition, we'll take a look at Hive and Pig, which are often used in Hadoop implementations. Finally, I'll show you how to tune MapReduce and I'll give you a sneak peek at some of the other new Hadoop libraries.
The Hadoop ecosystem is making big data projects possible for businesses and other organizations. So let's get started.
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Introduction
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Welcome47s
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1. Why Move Away from Relational Databases?
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Understanding big data4m 52s
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2. What Is Hadoop?
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Introducing Hadoop9m 2s
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3. Understanding Hadoop Core Components
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4. Setting Up the Hadoop Development Environment
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5. Understanding MapReduce 1.0
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Understanding MapReduce 1.011m 21s
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6. Tuning MapReduce
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Tuning by physical methods6m 57s
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Tuning a mapper8m 2s
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Tuning a reducer2m 21s
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Using a cache for lookups3m 26s
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7. Understanding MapReduce 2.0/YARN
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Understanding MapReduce 2.04m 46s
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8. Understanding Hive
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Introducing Hive and HBase2m 55s
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Understanding Hive6m 37s
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9. Understanding Pig
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Introducing Pig5m 1s
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Understanding Pig4m 43s
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Exploring use cases for Pig3m 42s
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10. Understanding Workflows and Connectors
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Introducing Oozie3m 7s
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Introducing Sqoop2m 36s
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Importing data with Sqoop3m 42s
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Introducing Flume3m 28s
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11. Other Hadoop Libraries
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Introducing Impala4m 49s
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Using Impala3m 42s
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Introducing Mahout5m 52s
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Introducing Storm3m 16s
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12. Understanding Spark
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Introducing Apache Spark4m 32s
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13. Visualizing Hadoop Output with Tools
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Conclusion
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Next steps41s
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Video: Welcome