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Big data and hadoop Course

Big data and hadoop Course - Zerobug Academy

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Course Description

Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, technqiues and frameworks.Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware.Hadoop training in chennai It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs.

Best Institute for Learning Big data and Hadoop

Zerobug Academy Provides best Big data Hadoop Training in Velachery, Chennai at reasonable cost and best placement support. The Big data and Hadoop training sessions are handled by top notch IT experts in Chennai who are capable of teaching concepts with real time examples. The Big dada and Hadoop Training in Chennai Zerobug Academy Syllabus are designed according current requirement of IT companies moreover Zerobug Academy provides more practical class which help you clear the interviews and certification easily. After completion of course Zerobug Academy will arrange you interviews in leading software companies in Chennai so it right time to join Big dada and Hadoop training at Zerobug Academy.

Big data Hadoop Training in Chennai Course Job Openings

Big data Hadoop Training in Chennai to make inside next 2 years 8 Lakhs Jobs and there is colossal lack of Specialized Professionals.

Understudies can function as Role of Hadoop in Big data– Overview of other Big Data Systems, Architecture, Analyzing and Exploring the Data.

Zerobug Academy Placement opportunities for non-Zerobug students

We give position chances to 2016/2017 go out BE/BTech freshers

No Registration charge.

Hopeful ought to have officially finished Big data Hadoop Training in Chennai Certification Course.

Applicant ought to have all through 60% in scholastics.

Competitor ought to have not too bad relational abilities.

Competitor should pass Aptitude and Hadoop Training in Chennai specialized screening test.

BIG DATA-HADOOP TRAINING COURSE CONTENT :

    • SECTION 1: INTRODUCTION TO BIG DATA-HADOOP
    • Overview of Hadoop Ecosystem
    • Role of Hadoop in Big data– Overview of other Big Data Systems
    • Who is using Hadoop
    • Hadoop integrations into Exiting Software Products
    • Current Scenario in Hadoop Ecosystem
    • Installation
    • Configuration
    • Use Cases ofHadoop (HealthCare, Retail, Telecom)
    • SECTION 2: HDFS
    • Concepts
    • Architecture
    • Data Flow (File Read , File Write)
    • Fault Tolerance
    • Shell Commands
    • Data Flow Archives
    • Coherency -Data Integrity
    • Role of Secondary NameNode
    • SECTION 3: MAPREDUCE
    • Theory
    • Data Flow (Map – Shuffle – Reduce)
    • MapRed vs MapReduce APIs
    • Programming [Mapper, Reducer, Combiner, Partitioner]
    • Writables
    • InputFormat
    • Outputformat
    • Streaming API using python
    • Inherent Failure Handling using Speculative Execution
    • Magic of Shuffle Phase
    • FileFormats
    • Sequence Files
    • SECTION 4: HBASE
    • Introduction to NoSQL
    • CAP Theorem
    • Classification of NoSQL
    • Hbase and RDBMS
    • HBASE and HDFS
    • Architecture (Read Path, Write Path, Compactions, Splits)
    • Installation
    • Configuration
    • Role of Zookeeper
    • HBase Shell Introduction to Filters
    • RowKeyDesign -What’s New in HBase Hands On
    • SECTION 5: HIVE
    • Architecture
    • Installation
    • Configuration
    • Hive vs RDBMS
    • Tables
    • DDL
    • DML
    • UDF
    • Partitioning
    • Bucketing
    • Hive functions
    • Date functions
    • String functions
    • Cast function Meta Store
    • Joins
    • Real-time HQL will be shared along with database migration project
    • SECTION 6: PIG
    • Architecture
    • Installation
    • Hive vs Pig
    • Pig Latin Syntax
    • Data Types
    • Functions (Eval, Load/Store, String, DateTime)
    • Joins
    • UDFs- Performance
    • Troubleshooting
    • Commonly Used Functions
    • SECTION 7: SQOOP
    • Architecture , Installation, Commands(Import , Hive-Import, EVal, Hbase Import, Import All tables, Export)
    • Connectors to Existing DBs and DW
    • SECTION 8: KAFKA
    • Kafka introduction
    • Data streaming Introduction
    • Producer-consumer-topics
    • Brokers
    • Partitions
    • Unix Streaming via kafka
    • SECTION 9: OOZIE
    • Architecture
    • Installation
    • Workflow
    • Coordinator
    • Action (Mapreduce, Hive, Pig, Sqoop)
    • Introduction to Bundle
    • Mail Notifications
    • SECTION 10: HADOOP 2.0 AND SPARK
    • Limitations in Hadoop
    • 1.0 – HDFS Federation
    • High Availability in HDFS
    • HDFS Snapshots
    • Other Improvements in HDFS2
    • Introduction to YARN aka MR2
    • Limitations in MR1
    • Architecture of YARN
    • MapReduce Job Flow in YARN
    • Introduction to Stinger Initiative and Tez
    • BackWard Compatibility for Hadoop 1.X
    • Spark Fundamentals
    • RDD- Sample Scala Program- Spark Streaming

BIG DATA ANALYTICS TRAINING COURSE CONTENT:

  • CHAPTER 1: INTRODUCTION TO BIG DATA ANALYTICS
  • Big Data Overview
  • State of the Practice in Analytics
  • The Data Scientist
  • Big Data Analytics in Industry Verticals
  • CHAPTER 2: DATA ANALYTICS LIFECYCLE
  • Discovery
  • Data Preparation
  • Model Planning
  • Model Building
  • Communicating Results
  • Operationalizing
  • CHAPTER 3: REVIEW OF BASIC DATA ANALYTIC METHODS
  • Using R
  • Using R to Look at Data
  • CHAPTER 4: INTRODUCTION TO R
  • Analyzing and Exploring the Data
  • Statistics for Model Building and Evaluation
  • CHAPTER 5: ADVANCED BIG DATA ANALYTICS
  • Theory and Methods
  • K Means Clustering
  • Association Rules
  • Linear Regression
  • Logistic Regression
  • Naïve Bayesian Classifier
  • Decision Trees
  • Time Series Analysis
  • Text Analysis
  • CHAPTER 6: ADVANCED BIG DATA ECOSYSTEM ANALYTICS
  • Technologies and Tools
  • Analytics for Unstructured Data
  • MapReduce and Hadoop
  • The Hadoop Ecosystem
  • In-database Analytics
  • SQL Essentials
  • Advanced SQL and MADlib for In-database Analytics
  • PUTTING IT ALL TOGETHER
  • Operationalizing an Analytics Project
  • Creating the Final Deliverables
  • Data Visualization Techniques
  • Final Lab Exercise on Big Data Analytics

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Zerobug Academy
Chennai, Tamil Nadu, India
15 Current Posted Courses

Software Training Institute in Velachery Zerobug Academy offers best Software Training in Velachery, Chennai. Our real time training in Chennai will help students to gain practical knowledge on software technologies moreover our training s... Read More

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