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Curriculum
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Chapter 1: Understanding Big Data and Hadoop
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Big Data
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Limitations and Solutions of existing
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Data Analytics Architecture
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Hadoop
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Hadoop Features
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Hadoop Ecosystem
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Hadoop 2.x core components
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Hadoop Storage: HDFS
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Hadoop Processing: MapReduce
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Framework
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Hadoop Different Distributions
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Chapter 2:Hadoop Architecture and HDFS
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Hadoop 2.x Cluster Architecture
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Federation and High Availability
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A Typical Production Hadoop Cluster
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Hadoop Cluster Modes
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Common Hadoop Shell Commands
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Hadoop 2.x Configuration Files
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Single node cluster and Multinode
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cluster set up Hadoop Administration
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Chapter 3: Hadoop MapReduce Framework
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MapReduce Use Cases
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Traditional way Vs MapReduce way
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Why MapReduce
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Hadoop 2.x MapReduce Architecture
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Hadoop 2.x MapReduce Components
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YARN MR Application Execution Flow
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YARN Workflow
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Anatomy of MapReduce Program
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Demo on MapReduce
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Input Splits
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The relation between Input Splits and
HDFS Blocks -
MapReduce: Combiner & Partitioner
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Demo on de-identifying Health Care
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Data set
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Demo on Weather Data set
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Chapter 4: Advanced MapReduce
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Counters
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Distributed Cache
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MR unit
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Reduce Join
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Custom Input Format
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Sequence Input Format
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XML file Parsing using MapReduce
Chapter 5: Pig
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About Pig
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MapReduce Vs Pig
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Pig Use Cases
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Programming Structure in Pig
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Pig Running Modes
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Pig components
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Pig Execution
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Pig Latin Program
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Data Models in Pig
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Pig Data Types
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Shell and Utility Commands
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Pig Latin: Relational Operators
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File Loaders, Group Operator
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COGROUP Operator
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Joins and COGROUP
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Union
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Diagnostic Operators
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Specialized joins in Pig
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Built-In Functions ( Eval Function,
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Load and Store Functions, Math
function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution ) -
Pig Streaming
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Testing Pig scripts with Punit
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Aviation use case in PIG
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Pig Demo on Healthcare Data set
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Chapter 6: Hive
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Hive Background
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Hive Use Case
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About Hive
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Hive Vs Pig
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Hive Architecture and Components
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Metastore in Hive
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Limitations of Hive
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Comparison with Traditional Database
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Hive Data Types and Data Models
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Partitions and Buckets
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Hive Tables(Managed Tables and External Tables)
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Importing Data
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Querying Data
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Managing Output
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Hive Script
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Hive UDF
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Retail use case in Hive
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Hive Demo on Healthcare Data set
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Chapter 7: Advanced Hive and HBase
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Hive QL: Joining Tables
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Dynamic Partitioning
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Custom Map/Reduce Scripts
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Hive Indexes and views Hive query optimizers
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Hive: Thrift Server, User Defined Functions
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HBase: Introduction to NoSQL
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Databases and HBase
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HBase v/s RDBMS
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HBase Components
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HBase Architecture
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Run Modes & Configuration
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HBase Cluster Deployment
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Chapter 8: Advanced HBase
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HBase Data Model
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HBase Shell
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HBase Client API
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Data Loading Techniques
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ZooKeeper Data Model
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Zookeeper Service
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Zookeeper
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Demos on Bulk Loading
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Getting and Inserting Data
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Filters in HBase
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Chapter 9:Processing Distributed Data with Apache Spark
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What is Apache Spark
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Spark Ecosystem
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Spark Components
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History of Spark and Spark
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Versions/Releases
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Spark a Polyglot
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What is Scala?
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Why Scala?
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SparkContext
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RDD
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Chapter 10:Oozie and Hadoop Project
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Flume and Sqoop Demo
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Oozie
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Oozie Components
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Oozie Workflow
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Scheduling with Oozie
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Demo on Oozie Workflow
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Oozie Co-ordinator
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Oozie Commands
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Oozie Web Console
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Oozie for MapReduce
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PIG
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Hive, and Sqoop
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Combine flow of MR
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PIG
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Hive in Oozie
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Hadoop Project Demo
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Hadoop Integration with Talend
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