Big Data & Hadoop

Future Multimedia offers best Big Data Analytics Training in indore with most experienced professionals. Our Instructors are working in Big Data Analytics and related technologies for more years in MNC's. We aware of industry needs and we are offering Big Data Analytics Training in indore in more practical way. Our team of Big Data Analytics trainers offers Big Data Analytics in Classroom training, Big Data Analytics Training and Big Data Analytics Corporate Training services. We framed our syllabus to match with the real world requirements for both beginner level to advanced level.

We do offer Fast-Track Big Data Analytics Training in indore and One-to-One Big Data Analytics Training in indore. Here are the major topics we cover under this Big Data Analytics course Syllabus Big Data Analytics introduction, Data analytics lifecycle, Data Analytic Methods Using R, Machine learning-Theory and Methods, Introduction to analytics for unstructured data-MapReduce and Hadoop, Sample analytics project, Creating final deliverables. Every topic will be covered in mostly practical way with examples.

Future Multimedia located in various places in Indore. We are the best Training Institute offers certification oriented Big Data Analytics Training in Indore. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Big Data Analytics trainers and participants for their future help and assistance in subject. Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Big Data Analytics Training in Indore Course Fees is very moderate compared to others. We are the only Big Data Analytics training institute who give job placement guarantee.

Big Data & Hadoop

Duration - 45 day's

Course Content of Big Data & Hadoop Training in Indore

    Introduction to Big Data

  • Big Data relies on volume, velocity, and variety with respect to processing.
  • Data can be divided into three types—unstructured data, semi-structured data, and structured data.
  • Big Data technology understands and navigates big data sources, analyzes unstructured data, and ingests data at a high speed.
  • Introduction Apache Hadoop

  • Type of Data generation
  • Apache ecosystem & its projects
  • Hadoop distributors
  • HDFS core concepts
  • Modes of Hadoop employment
  • HDFS Flow architecture
  • HDFS MrV1 vs. MrV2 architecture
  • Yarn Architecture
  • Unix commands
  • Hadoop commands
  • Hands on exercises
  • MapReduce

  • MapReduce Design flow
  • MapReduce Program (Job) execution
  • Types of Input formats & Output Formats
  • MapReduce Datatypes
  • Performance tuning of MapReduce jobs
  • Word-count program example explanation
  • Hands on with word-count program
  • Apache Spark

  • About Spark
  • Spark History
  • MapReduce and Spark
  • Spark – Layered Architecture
  • Spark – Cluster Architecture
  • Cluster Manager – Deployment Modes
  • About Scala
  • Word count example on Scala

    Apache Hive

  • Introduction to Hive
  • Hive features
  • Hive architecture flow
  • Hive vs Pig
  • HCatalog
  • Hive Limitations
  • Hive Data Types
  • Hive Complex Data Types
  • DML/DDL commands explanation
  • Hive data loading
  • Hive Functions
  • Hive Joins
  • Partitioning static & Dynamic logic
  • Bucketing logic
  • Skewed by logic
  • Hive File formats
  • Performance Techniques
  • Hive script execution in shell & HUE
  • Hive exercises
  • Hive hands on
  • Apache Sqoop

  • Introduction to Sqoop concepts
  • Sqoop internal design/architecture
  • Sqoop Import statements concepts
  • Sqoop Export Statements concepts
  • Quest Data connectors flow
  • Incremental updating concepts
  • Creating a database in MySQL for importing to HDFS
  • Sqoop commands execution in shell/HUE
  • Sqoop Examples
  • Sqoop Hands on
  • Impala

  • Impala Architecture
  • Creating tables in Impala
  • Accessing Hive Metastore
  • Hands on

    Apache Pig

  • Introduction to Pig concepts and Architecutre
  • Pig Components
  • Pig Execution modes
  • Pig Data Flow
  • Pig Latin Concepts
  • Pig Commands
  • Pig Data Types
  • Pig Latin – Examples
  • Advance Pig Programming concepts like COGROUP, pig UDF
  • Pig modes of execution
  • Pig script execution in shell/HUE
  • Pig hands on
  • Apache Hbase

  • Introduction to Hbase concepts
  • Introdcution to NoSQL/CAP theorem concepts
  • Hbase design/architecture flow
  • Hbase table commands
  • HDFS vs Hbase
  • RDBMS vs Hbase
  • Hbase execution in shell/HUE
  • Hbase Example
  • Hands on
  • Apache Flume

  • Introduction to Flume & features
  • Flume topology & core concepts
  • Property file parameters logic
  • Flume NetCat example & Spooldir example
  • Flume Hands on
  • Project

  • Using Hive & Power BI