HADOOP

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Across
  1. 3. Introduction, classes and objects, basic types and operators, built-in control
  2. 5. Introduction, data types, creating, updating and deleing documents, querying,
  3. 7. functions and closures, inheritance.
  4. 8. Running MRv1 in YARN.
  5. 9. anatomy of a Spark job run, Spark on YARN
  6. 10. Eco System and YARN: Hadoop ecosystem components, schedulers, fair and
Down
  1. 1. Installing spark, spark applications, jobs, stages and tasks, Resilient Distributed
  2. 2. Hadoop 2.0 New Features - NameNode high availability, HDFS federation, MRv2,
  3. 4. Databases: Introduction to NoSQL
  4. 6. to indexing, capped collections