best big data hadoop training in bangalore

Apache Hadoop enables organizations to analyze massive volumes of structured and unstructured data and is currently very hot trend across the software tech industry. Hadoop will be adopted as a default enterprise data technology by most of the enterprise soon. SDLC Software Training Institute is committed to providing the best Big Data Hadoop Training in Bangalore that helps the students and professionals in areas of Big Data Hadoop through its innovative programs and outstanding faculty.

BIG DATA HADOOP TRAINING IN BANGALORE

This course will provide you an excellent kick start in building your fundamentals in developing big data solutions using Hadoop platform and its ecosystem tools. Our Big Data Hadoop Training in Bangalore is designed to give participants the skills & knowledge to gain a competitive advantage in starting/enhancing a career in Big Data Hadoop industry. Participants receive up-to-date training in multiple areas of Big Data Hadoop and a thorough understanding of various real-world projects.

BEST BIG DATA HADOOP TRAINING IN BANGALORE

The Big Data Hadoop course has been constituted towards the needs of current industry standards. While we will continue to emphasize our own basic academics, we are also aware that our students require Big Data Hadoop competencies that enhance employment and livelihood opportunities. Our best Big Data Hadoop Training in Bangalore is well balanced between theory and hands-on lab (more than 15 lab exercises) spread on real-world uses cases like retail data analysis, sentiment analysis, log analysis, real-time trend analysis etc.

WHY SDLC FOR BIG DATA HADOOP TRAINING?

SDLC Training is one of the pioneers in software training. We deliver the training for many individuals, groups, and corporations. Hence, we know what a particular student or participant actually wants from the training. We prioritize to give our best quality of training and further assistance. You have complete freedom to customize the batch and time. Post Successful completion of our Big Data Hadoop Training in Bangalore Program leads to placement assistance and participation in campus placements by SDLC.

WHAT WILL YOU LEARN FROM THIS TRAINING?

The participants will learn the topics below through lectures and hands-on exercises.

  • Understand Big Data, Hadoop 2.0 architecture and its Ecosystem
  • Deep Dive into HDFS and YARN Architecture
  • Writing map-reduce algorithms using Java APIs
  • Advanced Map Reduce features & Algorithms
  • How to leverage Hive & Pig for structured and unstructured data analysis
  • Data import and export using Sqoop and Flume and create workflows using Oozie
  • Hadoop Best Practices, Sizing and capacity planning
  • Creating reference architectures for big data solutions

COURSE CONTENT

MODULE 1- INTRODUCTION TO BIG DATA

  • 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 Big Data

MODULE 2- INTRODUCTION OF HADOOP

  • 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
  • The 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
  • Hive-HQL
  • Types of Tables in Hive
  • Partitions
  • Buckets& Sampling
  • Indexes
  • Views
  • 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
  • Architecture
  • Data types
  • Working with various PIG Commands covering all the functions in PIG
  • Working with unstructured 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

  • HUE
  • OOZIE
  • FLUME
  • SPARK
  • KAFKA
  • STORM
  • AMBARI
  • MAHOUT

MODULE 11- FAQS, REAL TIME ENVIRONMENT & REAL TIME SCENARIOS

  • Real-Time Q/A
  • FAQ
  • Real-Time Environment

MODULE 12-REAL TIME PROJECT

  • Working on Real Time Project

EXCEL IN YOUR CAREER WITH OUR BEST BIG DATA HADOOP TRAINING IN BANGALORE?

Our trainers always start teaching with basics and then move to advance stuff. In this way, Students have a clear understanding of every concept. Our best Big Data Hadoop training in Bangalore will also teach you some concepts of future-oriented technologies. So, If you are someone who always look for quality training rather than anything else, Book a FREE DEMO CLASS Now.

For any other query or feedback, please feel free to contact us.

Contact Info:

email: hr@sdlctraining.in

Phone no: +91 84948 40567