Turning Concept to Technology
Introduction to Big Data (4 hrs)
- Introduction
- Use of Big Data
Introduction to Hadoop (8 hrs)
- Concept of Hadoop Distributed file system(HDFS)
- Design of HDFS
- Common challenges
- Best practices for scaling with your data
- Configuring HDFS
- Interacting with HDFS
- HDFS permission and Security
- Additional HDFS Tasks
- Data Flow (Anatomy of a File Read, Anatomy of a File Write, Coherency Model)
- Hadoop Archives
Getting Started with Hadoop or running a sample program (4 hrs)
- Running a sample program
Pseudo Cluster Environment (4 hrs)
- Cluster specification
- Hadoop Configuration (Environment Settings, Hadoop Daemon- Properties, Addresses and Ports)
- Basic Linux and HDFS Commands
- Setup a Hadoop Cluster
MapReduce (8 hrs)
- Hadoop Data Types
- Functional-Concept of Mappers
- Functional-Concept of Reducers
- The Execution Framework
- Concept of Partioners
- Functional- Concept of Combiners
- Hadoop Cluster Architecture
- MapReduce types
- Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
- OutPut Formats (TextOutput, BinaryOutPut, Multiple Output)
- Writing Programs for MapReduce
PIG (4 hrs)
- Installing and Running Pig
- Grunt
- Pig's Data Model
- Pig Latin
- Developing & Testing Pig Latin Scripts
- Writing Evaluation
- Filter
- Loads & Store Functions
HIVE (10 hrs)
- HIVE (10 hrs)
- Running Hive
- Comparison with Traditional Database (Schema on Read versus Write, Updates, Transactions and Indexes)
- HiveQL (Data Types, Operators and Functions)
- Tables (Managed and External Tables, Partitions and Buckets, Storage Formats, Importing Data)
- Altering Tables, Dropping Tables
- Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries & Views
- Map and Reduce site Join to optimize Query
- User Defined Functions
- Appending Data into existing Hive Table
- Custom Map/Reduce in Hive
- Perform Data Analytics using Pig and Hive
HBASE (8 hrs)
- Introduction
- Client API- Basics
- Client API- Advanced Features
- Client API - Administrative Features
- Available Client
- Architecture
- MapReduce Integration
- Advanced Usage
- Advanced Indexing
- Impelment HBASE
SQOOP (2 hrs)
- Database Imports
- Workign with Imported data
- Importing Large Objects
- Performing Exports
- Exports- A Deeper look
Qualification: 10+2/B.A/B.Com/B.Tech/B.Sc.(IT)/BCA/M.Sc(IT)/MCA/M.Tech pursuing or completed in any discipline.
Course duration will be approx for 3 months. Weekdays and Weekends batches are available. In weekdays 3 classes of 2 hours and in weekends 2 classes of 2.5 Hours.
Trainers having good practical exposure are only eligible for taking the classes of students.They share theirs own experience and guide the students accordingly according to the industry needs of professionals.We are guiding the students at each and every moment of time where they stuck.Our honest approach towards the student to trained them and try to get them establish in IT industry ASAP.