Hadoop Developer Online Training Presented By EraEdge (201)255-0273
Hadoop Developer Training Course Content Module - 1 • An Introduction to Big Data • THE EXPLOSION OF DATA • Big Data Characteristics • BI Vs Big Data • Big Data Applications • Big Data Framework • Big Data Vender information
Hadoop Developer Training Course Content Module - 2 • Big Data Approaches • Approaches to Process Big Data (Phases) • Traditional Database analytics • Massive Parallel Processing • Cloud Computing • Grid Computing • Map Reduce • What problems exist with ‘traditional’ large-scale computing Systems? • What requirements an alternative approach should have? • How Hadoop addresses those requirements?
Hadoop Developer Training Course Content Module - 3 • The Hadoop Basic concepts • What Hadoop is • What features the Hadoop Distributed File System (HDFS) provides • The concepts behind MapReduce • How a Hadoop cluster operates • What other Hadoop Ecosystem projects exist
Hadoop Developer Training Course Content Module - 4 • Introduction to Map Reduce • MapReduce Architecture • Fault tolerance in MapReduce • Sample applications • Getting started with Hadoop • Higher-level languages on top of Hadoop: Pig and Hive
Hadoop Developer Training Course Content Module - 5 • Integrating Hadoop Into The Workflow • Introduction • Relational Database Management Systems • Storage Systems • Importing Data From RDBMSs With Sqoop • Hands-On Exercise • Importing Real-Time Data With Flume • Accessing HDFS Using FuseDFS and Hoop • Conclusion
Hadoop Developer Training Course Content Module - 6 • An Introduction to Pig • What is Pig? • Pig’s Features • Pig Use Cases • Interacting with Pig • Essential Points • Conclusion
Hadoop Developer Training Course Content Module - 7 • Basic Data Analysis with Pig • Basic Syntax of Pig Latin • How to load and store data using Pig • Which datatypes Pig uses to represent data • How to sort and filter data in Pig • How to use many of Pig’s built in functions for data processing • Processing Complex Data with Pig • How Pig uses bags,tuples,and maps to represent complex data.
Hadoop Developer Training Course Content Module - 7 • The Techniques Pig provides to for grouping and ungrouping data. • How to use aggregate functions in Pig Latin • How to iterate through records in complex data structures. • Multi Dataset Operations with Pig • How we can use grouping to combine data from multiple sources. • What types of join operators Pig supports and how to use them. • How to concatenate records to produce a single data set. • How to split a single data set into multiple relations
Hadoop Developer Training Course Content Module – 8 • Introduction to Hive • What is Hive • How Hive differs from a relational database. • Ways in which organizations use Hive. • How to invoke and interact with Hive. • Relational Data with Hive • How to explore database and tables in Hive. • How HiveQL syntax compared with SQL • Which datatypes Hive supports. • Join operators in Hive
Hadoop Developer Training Course Content Module – 8 • Built in functions in Hive. • Hive Data Management • How Hive encodes and stores data • How to create Hive databases,tables and views. • How to load data into tables • How to alter and remove tables • How to save query results into tables and files. • How to control access to data in Hive • Important String Functions
Hadoop Developer Training Course Content Module – 9 • What is HBase? • When To Use HBase? • HBase Data Model • HBase Logical View • HBase Physical Model
Hadoop Developer Training Course Content Module – 9 • Major Components Of HBase • HBase Big Picture • Compaction • HBase Shell • HBase Useful Commands • Hand’s On
Benefits of EraEdge Online Training • Quality training • Customized Class timings • Lowest price in the market • Classes driven by real time expert • Interview assistance (FAQs, Sample resumes) • Material (Manuals, Documents, presentations, suggested resources). • Flexible and customized timings • Easy to follow, because its more over practical sessions • Finally online training sessions are Easy, time saving and efficient. • Interview Facing Skills and FAQ
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