Bigdata/Hadoop Training Course
Best Bigdata/Hadoop Training in Bangalore
Bigdata/Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.
SDLC Training provide complete practical sessions to each and every student. We are providing the online, classroom and corporate training. It will help you to get the job quickly.
How we will start the course?
- Learn from basics
- Practice coding
- Set your algorithm carefully
- Trace your codes on paper
- Read sources on Hadoop/Big data regularly
At end of the course?
- Trainees will understand the core concepts of Hadoop/Big data.
- Participants will have an understanding of how to create and implement algorithms.
- Candidates will have detailed knowledge about Hadoop/Big data.
- Real time project experience.
|Demo Class : Free Demo Session, Flexible Timings||Free Class : Attend 3 Free Classes to check training Quality|
|Regular : 2 Hours per day||Fast Track : 2 – 3 Hours per day: 10 days|
|Weekdays : Available||Weekend : Available|
|Online Training : Available||Class Room Training : Available|
|Course Fee : Talk to our Customer Support||Duration : 30 Hours|
MODULE 1- INTRODUCTION TO BIGDATA
- Evolution of Big Data
- The 6 V’s challenges of traditional technology
- Comparison of Big Data with Traditional technologies
- What is Big Data?
- Examples of Big Data
- Reasons for Big Data Evolution
- Why Big Data deserves your attention
- Use cases of Big Data
- Different ways of analytical techniques using Bigdata
MODULE 2- INTRODUCTION TOHADOOP
- What is Hadoop
- History of Hadoop
- Hadoop Ecosystem
- Problems with Traditional Large-Scale Systems and Need for Hadoop
- Understanding Hadoop Architecture
- Fundamental of HDFS (Blocks, Name Node, Data Node, Secondary Name Node)
- Rack Awareness
- Read/Write from HDFS
- HDFS Federation and High Availability
MODULE 3- STARTING HADOOP
- Setting up single node Hadoop cluster(Pseudo mode)
- Understanding Hadoop configuration files
- Hadoop Components- HDFS, MapReduce
- Overview Of Hadoop Processes
- Overview Of Hadoop Distributed File System
- The building blocks of Hadoop
- Hands-On Exercise: Using HDFS commands
MODULE 4- MAPREDUCE-1(MR V1)
- Understanding Map Reduce
- Job Tracker and Task Tracker
- Architecture of Map Reduce
- Map Function
- Reduce Function
- Data Flow of Map Reduce
- How Map Reduce Works
- Anatomy of Map Reduce Job (MR-1)
- Submission & Initialization of Map Reduce Job
- Assigning & Execution of Tasks
- Monitoring & Progress of Map Reduce Job
- Hadoop Writable and Comparable
- Map Reduce Types and Formats
- Understand Difference Between Block and Input Split
- Role of Record Reader
- Different File Input Formats
- Map Reduce Joins
MODULE 5- MAPREDUCE-2(YARN)
- Limitations of Current Architecture
- YARN Architecture
- Application Master, Node Manager&Resource Manager
- Job Submission and Job Initialization
- Task Assignment and Task Execution
- Progress and Monitoring of the Job
- Failure Handling in YARN
- Task Failure
MODULE 6- HIVE
- Introduction to Apache Hive
- Architecture of Hive
- Installing Hive
- Hive data types
- Types of Tables in Hive
- Buckets& Sampling
- Executing hive queries from Linux terminal
- Executing hive queries from a file
- Creating UDFs in HIVE
- Hands-On Exercise
MODULE 7- PIG
- Introduction to Apache Pig
- Install Pig
- Data types
- Working with various PIG Commands covering all the functions in PIG
- Working with un-structured data
- Working with Semi-structured data
- Creating UDFs
- Hands-On Exercise
MODULE 8- SQOOP
- Introduction to SQOOP& Architecture
- Installation of SQOOP
- Import data from RDBMS to HDFS
- Importing Data from RDBMS to HIVE
- Exporting data from HIVE to RDBMS
- Hands on exercise
MODULE 9- HBASE
- Introduction to HBASE
- Installation ofHBASE
- Exploring HBASE Master & Region server
- Exploring Zookeeper
- CRUD Operation of HBase with Examples
- HIVE integration with HBASE
- Hands on exercise on HBASE
MODULE 10- OVERVIEW SESSIONS ON
MODULE 11- FAQS, REAL TIME ENVIRONMENT & REAL TIME SCENARIOS
- Real Time Q/A
- Real Time Environment
MODULE 12-REAL TIME PROJECT
- Working on Real Time Project
We will be providing raw data & requirements for the project & you will have to work. Finally we will have one Project execution session where we will be explaining the steps for execution.
What is the batch size?
SDLC training providing the limited batch size, so we can provide quality teaching. If you want to get trained individually, we are also providing.
How you people will help for the Job?
SDLC training providing the 100% job assistance and mock interviews.
How you people will help in the projects?
SDLC training is providing the training with live projects and real-time practice.
How you people will provide the doubt clarification?
SDLC training providing the 24/7 interact access with faculties and after course also engagement between the faculties and students.
What are the extra services?
SDLC training providing the back up classes, soft skill training, interview skills workshop and resume preparation assistance.
How you people will help to enhance the students knowledge?
SDLC training providing the topics wise ppts, case studies, assignments and doubt solving.
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Hands-on live projects
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Features of SDLC
- Limit the batch size so we can provide personal attention to everyone in the session
- Real-time practice
- Live projects
- 24/7 interact access with faculties
- Experienced and passionate trainers
- After course engagement
- We give topics wise ppt, case studies, assignments and doubt solving
- 100% job assistance
- 24/7 support
- Classroom training, Online training and Corporate training.
- Student can attend their missed classes
- Soft skill training, interview skills workshop, resume preparation assistance
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