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1 Month



4.98 (334)

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible.

What Will I Learn?

    1.      Introduction to Big Data and Hadoop Ecosystem

    ·        Introduction

    ·        Overview to Big Data and Hadoop

    ·        Hadoop Ecosystem

    2.      HDFS and YARN

    ·        HDFS Architecture and Components

    ·        Block Replication Architecture

    ·        YARN Introduction

    3.      Map Reduce and Sqoop

    ·        Introduction

    ·        Why Map reduce

    ·        Small Data and Big Data

    ·        Data Types in Hadoop

    ·        Joins in MapReduce

    ·        What is Sqoop

    4.      Basics of Hive and Impala

    ·        Introduction

    ·        Interacting with Hive and Impala

    5.      Working with Hive and Impala

    ·        Working with Hive and Impala

    ·        Data Types in Hive

    ·        Validation of Data

    ·        What is Hcatalog and its Uses

    6.      Types of Data Formats

    ·        Introduction

    ·        Types of File Format

    ·        Data Serialization

    ·        Importing MySQL and creating Hivetb

    ·        Parquet with Sqoop

    7.      Advanced Hive Concept and Data File Paritioning

    ·        Introduction

    ·        Overview of Hive Query Language

    8.      Apache Flume and HBase

    ·        Introduction

    ·        Interacting with HBase

    9.      Basics of Apache Spark

    ·        Introduction

    ·        Spark- Architecture, Execution, and Related Cocepts

    ·        RDD Operations

    ·        Functional Programming in Spark

    10.   Implementation of Spark Applications

    ·        Introduction

    ·        Running Spark on YARN

    ·        Dynamic Resource Allocation

    ·        Configuring Your Spark Apllication

    11.   Spark Parallel Processing

    ·        Introduction

    ·        Parallel Operations on Partitions

    12.   Spark RDD Optimization Techniques

    ·        Introduction

    ·        RDD Persistence

    13.   Spark Algorithm

    ·        Introduction

    ·        Spark: An Iterative Algorithm


    ·        Introduction to Graph Parallel System

Price : 8999