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Course Curriculum

Hadoop Installation manual
Hadoop Architecture 00:00:00
What is Big Data 00:00:00
Hadoop Architecture 00:00:00
Hadoop ecosystem components 00:00:00
Hadoop Storage: HDFS 00:00:00
Hadoop Processing: MapReduce Framework 00:00:00
Hadoop Server Roles: Namenode 00:00:00
Secondary Namenode and Datanode 00:00:00
Anatomy of File Write and Read 00:00:00
Hadoop Cluster Configuration and Data Loading
Hadoop Cluster Architecture 00:00:00
Hadoop Cluster Configuration files 00:00:00
Hadoop Cluster Modes 00:00:00
Multi-Node Hadoop Cluster 00:00:00
A Typical Production Hadoop Cluster 00:00:00
MapReduce Job execution 00:00:00
Common Hadoop Shell commands 00:00:00
Data Loading Techniques: FLUME 00:00:00
SQOOP 00:00:00
Hadoop Copy Commands 00:00:00
Hadoop Project: Data Loading 00:00:00
Hadoop MapReduce framework
Hadoop Data Types 00:00:00
Hadoop MapReduce paradigm 00:00:00
Map and Reduce tasks 00:00:00
MapReduce Execution Framework 00:00:00
Partitioners and Combiners 00:00:00
Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs) 00:00:00
Output Formats (TextOutput, BinaryOutPut, Multiple Output) 00:00:00
Hadoop Project: MapReduce Programming 00:00:00
Advance MapReduce and YARN (MRv2)
Custom Input Format 00:00:00
Error Handling 00:00:00
Tuning 00:00:00
Advance MapReduce 00:00:00
Fair and Capacity Schedulers 00:00:00
Hadoop 2.0 New Features–namely 00:00:00
NameNode High Availability 00:00:00
HDFS Federation 00:00:00
YARN 00:00:00
Programming in YARN 00:00:00
Running MRv1 in YARN 00:00:00
Upgrade your existing code to MRv2 00:00:00
Hadoop Project: Advance MapReduce programming and error handling 00:00:00
Pig and Pig Latin
Installing and Running Pig 00:00:00
Grunt 00:00:00
Pig’s Data Model 00:00:00
Pig Latin 00:00:00
Developing & Testing Pig Latin Scripts 00:00:00
Writing Evaluation 00:00:00
Filter 00:00:00
Load & Store Functions 00:00:00
Hadoop Project: Pig Scripting 00:00:00
Hive Architecture and Installation 00:00:00
Comparison with Traditional Database 00:00:00
HiveQL: Data Types 00:00:00
Operators and Functions 00:00:00
Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables) 00:00:00
Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query) 00:00:00
User Defined Functions 00:00:00
Appending Data into existing Hive Table 00:00:00
Custom Map/Reduce in Hive 00:00:00
Hadoop Project: Hive Scripting 00:00:00
NoSQL Databases, HBase and ZooKeeper
Introduction to HBase 00:00:00
Client API’s and their features 00:00:00
Available Client 00:00:00
Hbase Architecture 00:00:00
MapReduce Integration 00:00:00
Advanced Usage 00:00:00
Advance Indexing 00:00:00
Coprocessors 00:00:00
The Zookeeper Service: Data Modal 00:00:00
Operations 00:00:00
Implementation 00:00:00
Consistency 00:00:00
Sessions 00:00:00
States 00:00:00
Hadoop Project: HBase tables 00:00:00

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