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Lesson 3: Core Elements of Apache Hadoop
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Quiz 3
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Lesson 4: The Apache Hadoop Ecosystem
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Quiz 4
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Lesson 5: Solving Big Data Problems with Apache Hadoop
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Quiz 5
- Course Materials
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Slide Guide (Transcript)
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Glossary

Apache Hadoop Essentials
This course introduces you to the basics of Apache Hadoop. The course begins with a brief introduction to the Hadoop Distributed File System and MapReduce, then covers several open source ecosystem tools, such as Apache Spark, Apache Drill, and Apache Flume. Finally, these tools are applied to real-world use cases. Ideal for business managers, students, developers, administrators, analysts or anyone interested in learning the fundamentals of transitioning from traditional data models to big data models.
What's Covered
Course Lessons |
3: Core Elements of Apache Hadoop Local and Distributed File SystemsData Management in the Hadoop File System Review of the MapReduce Algorithm |
4: The Apache Hadoop Ecosystem Overview of the Apache EcosystemAdministration: ZooKeeper, YARN Ingestion: Flume, Oozie, Sqoop Processing: Spark, HBase, Pig Analysis: Hive, Drill, Mahout |
5: Solving Big Data Problems with Apache Hadoop Data Warehouse OptimizationRecommendation Engine Large-Scale Log Analysis |
Prerequisites
- Completion of the MapR Academy on-demand course: ESS 100