Hadoop training outline

Day  1 ·         Full day ·         General training for all audience (developers, management, architects)	Day 2 ·         Full day ·         Designed for analysts/architects who have attended the Hadoop Overview course; Familiarity with SQL or a scripting language is required	Day 3 ·         Full day ·         Designed for analysts/architects who have attended the Hadoop Overview course; Familiarity with SQL or a scripting language is required	Day 4 ·         Full day ·         Designed for developers who want to learn to use MapReduce/Hadoop	Day 5 ·         Full day ·         designed for developers with Hadoop programming experience with Map Reduce; Familiarity with object oriented programming, Java, web applications and distributed computing is assumed
Hadoop Fundamentals Architecture ·         Hadoop Architecture ·         Building Blocks ·         HDFS ·         MapReduce ·         Hadoop Ecosystem Security • Walkthrough	Sqoop, Flume, Oozie, HCatalog Hive Hive Introduction ·         Why Hive? ·         Compare vs SQL ·         Use Cases Hive Architecture – Building Blocks Hive CLI and Language (Exercise) ·         HDFS Shell ·         Hive CLI ·         Data Types ·         Hive Cheat sheet ·         Data Definition Statements ·         Data Manipulation Statements ·         Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins ·         Built‐in Functions ·         Union, Sub Queries, Sampling, Explain Hive Usecase implementation (Exercise) ·         Use Case 1 ·         Use Case 2 Best Practices Advanced Features ·         Transform and Map‐Reduce Scripts ·         Custom UDF ·         UDTF ·         SerDe Recap and Q&A	Pig Pig Introduction ·         Position Pig in Hadoop ecosystem ·         Why Pig and not MapReduce ·         Simple example (slides) comparing Pig and MapReduce ·         Who is using Pig now and what are the main use cases Pig Architecture ·         Discuss high level components of Pig Pig Grunt ‐ How to start and use Pig Latin Programming ·         Data Types ·         Cheat sheet ·         Schema ·         Expressions ·         Commands and Exercise ·         Load, Store, Dump, Relational Operations, Foreach, Filter, Group, Order By, ·         Distinct, Join, Cogroup,  Union, Cross, Limit, Sample, Parallel Use Cases (working exercise) ·         Use Case 1 ·         Use Case 3 (compare pig and hive) Advanced Features, UDFs Best Practices and common pitfalls Recap and Q&A	MapReduce Programming ·         Fundamentals ·         Anatomy of MapReduce Job Run ·         Job Scheduling ·         Sample Code Walk Through ·         Hadoop API Walk Through ·         Exercise MapReduce Formats ·         Input Formats,Exercise ·         Output Formats, Exercise MapReduce Features ·         Counters, Exercise ·         Map Side Join, Exercise ·         Reduce Side Join, Exercise ·         Sorting,Exercise MapReduce Algorithms ·         Walkthrough of 2-3 Algorithms MapReduce Performance Tuning MapReduce Testing & Debugging Recap and Q&A	HBase HBase Introduction HBase architecture ·         Building Components ·         Storage, B+ tree, Log Structured Merge Trees ·         Region Lifecycle ·         Read/Write Path HBase schema design ·         Introduction to hbase schema ·         Column Family, Rows, Cells, Cell timestamp ·         Deletes ·         Exercise –build a schema, load data, query data HBase Java API ‐ Exercises ·         Connection ·         CRUD API ·         Scan API ·         Filters ·         Counters ·         Hbase MapReduce ·         Hbase Bulk load Hbase Operations, cluster management Performance Tuning Advanced Features Exercise Recap and Q&A