Learning Hadoop

Learning Hadoop

Hadoop is indispensable when it comes to processing big data—as necessary to understanding your information as servers are to storing it. In this course, cloud architect Lynn Langit provides a thorough introduction to Hadoop. Find out how to set up Cloud Hadoop and learn about core components like JVMs, the HDFS file system, AWS S3, and cluster components. Step through the process of setting up and verifying your development environment. Explore ways you can use MapReduce with Hadoop and learn how to tune each MapReduce job. Go over scaling VM-based Hadoop clusters on GCP Dataproc HDFS. Learn how to select appropriate NoSQL options for Hadoop with Hive, HBase, and Pig. Plus, dive into Apache Spark architecture and how to run an Apache Spark job on a Hadoop cluster.

01 – Introduction
02 – 1. Set Up Cloud Hadoop
03 – 2. Understand Hadoop Core Components
04 – 3. Set Up and Verify Development Environment
05 – 4. Understand MapReduce
06 – 5. Tune MapReduce
07 – 6. Scale Cloud Hadoop
08 – 7. Use Hive, Pig, and Spark
09 – Conclusion