Big Data with Hadoop

LIVE

36 Hours

Course offered by CourseZoo.com

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This course is best suited for those who want to gain Big Data & Hadoop skills to:

Store & process huge data sets
Build, deploy and run MapReduce applications on Hadoop clusters
Importing & exporting data from various sources
Develop distributed code using the Java/Python programming language
Doing analytics using MapReduce, Pig, Hive, HBase, Mahout & other tools

Course Outline

Introduction to Hadoop and the Hadoop Ecosystem
Challenge with traditional enterprises systems A brief introduction about Big Data & Hadoop Hadoop eco-system tools Introduction to the hands-on exercises
Hadoop Architecture and HDFS
Understanding distributed processing Storage: HDFS architecture Resource Management: YARN architecture
Deep dive into HDFS
Understanding HDFS concepts in detail Few basic configurations What is NameNode? What is DataNode? HDFS commands hands-on using online lab
Deep dive into YARN & Map Reduce
Understanding YARN concepts in detail Few basic configurations Understanding MapReduce â?? Mapper,Reducer & other concepts Flow of a complete MapReduce job Saving & checking MapReduce job output Working on MapReduce projects using online lab
Working with Hive
Introduction to Hive Data formats, built in operators and functions Learning HQL â?? Creating database, tables & querying data Partitions, buckets & indexing Advanced Hive
Introduction to Pig
Overview Working with data types, built in operators & functions Important commands hands-on Running Pig scripts in local & MapReduce mode Working with UDFs Advanced Pig
Zookeeper
Introduction to Zookeeper Architecture of ZooKeeper â?? Services & Data models Understanding workflow Znodes, Shell, Watches Various concepts â?? Leader election, Request processor, Atomic Broadcast, In-memory Database Benefits & its use cases
NoSQL & HBase
Introduction to NoSQL Introduction to HBase â?? what, how Data model & schema design Hands-on using HBase shell Understanding Region servers Advanced HBase
Flume, Sqoop, Oozie
Understanding Flume & its architecture Flume agents Working with diffrent data sources Understanding Sqoop & its architecture Import & export using Sqoop Running Sqoop job Understanding Oozie & its architecture Oozie workflow Oozie Coordinator Hands-on exercises
Mahout
Overview Basics of machine learning Recommendaion engine Hands-on examples of recommendations