|
|
|
Duration in Hours |
| Chapter |
Module No |
Module |
Theory |
Practical |
| Hadoop Architecture |
Module No 1 |
what is big data |
1 |
|
| Module No 2 |
Hadoop Architecture, Hadoop Ecosystem Components Hadoop Storage : HDFS |
1.5 |
|
| Module No 3 |
Hadoop Processing Map Reduce Framework Hadoop Server Roles |
1.5 |
|
| Module No 4 |
Namenode Secondary Namenode & data node anatomy of file read and write |
1 |
|
| Hadoop Cluster Configuration and Data Loading |
Module No 5 |
Hadoop Cluster Architecture, Hadoop Cluster Configuration files, Hadoop Cluster Modes, HDFS File I/O Operations |
1 |
2 |
| Hive |
Module No 6 |
Hive Architecture and Installation, Comparison with Traditional Database, HiveQL: Data Types, Operators and Functions, Hive
Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables) |
2 |
2 |
| Module No 7 |
Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query), |
2 |
2 |
| Defined Functions, Appending Data into existing Hive Table |
3 |
3 |
| Pig and Pig Latin |
Module No 8 |
Installing and Running Pig, Grunt, Pig’s Data Model, Pig Latin, Developing & Testing Pig Latin Scripts |
1 |
1 |
| Writing Evaluation, Filter, Load & Store Functions, Hadoop Project: Pig Scripting |
1 |
| Flume |
Module No 9 |
Flume Architecture, Flume installation, Flume streaming engine |
1 |
2 |
| Advance MapReduce, Zookeeper and YARN (Mrv2) |
Module No 10 |
Zookeeper |
1 |
|
| Module No 11 |
Hadoop 2.0 New Features–namely, NameNode High Availability, HDFS Federation, YARN etc., |
1.5 |
1 |
| Programming in YARN, Running Mrv1 in YARN, Upgrade your existing code to Mrv2, |
1 |
1 |
| Hadoop MapReduce framework |
Module No 12 |
Hadoop Data Types, Hadoop MapReduce paradigm, Map and Reduce tasks, MapReduce Execution Framework, |
1.5 |
1 |
| Module No 13 |
Partitioners and Combiners, Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs), Output Formats
(TextOutput, BinaryOutPut, Multiple Output), Hadoop Project: MapReduce Programming. |
1 |
|
| Module No 14 |
Multi-Node Hadoop Cluster, A Typical Production Hadoop Cluster, MapReduce Job execution |
1 |
2 |
| Sqoop |
Module No 15 |
About Sqoop, Sqoop commands, Sqoop Scenarios |
1 |
2 |
| Project |
Hadoop Project: Mini Project |
1 |
2 |
|
|
Total Hours |
25 |
21 |
