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TECHINAUT

A LEVEL

4.5 (15)
NIELIT

Big Data Analytics Using Hadoop

A9.1-R5.1 A Level (NIELIT)

This course will teach you about the fundamentals of the Hadoop framework and its individual building blocks, including HDFS (Hadoop Distributed File System), MapReduce (Hadoop processing engine), and YARN (YARN Data Repository).

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8 Lessons

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120 Hours - (Theory: 48 hrs + Practical: 72 hrs)

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100+ students enrolled

Overview
Course Description

This course covers the fundamentals of big data analytics and how to use it in various scenarios. It includes the basics of storage and processing, as well as the analysis and visualization of large data. It also covers application and software issues and gives an overview of Big Data analytics tools and algorithms.

What you'll learn
  • The basic concepts of the framework, including HDFS storage and MapReduce processing.
  • How to secure your Hadoop cluster, handle huge data volumes, and design low-latency message delivery systems.
  • How to manage large amounts of data, understanding Hadoop will help you stand out in the competitive world of big data.
  • You will learn about the history of Hadoop and key terminology. You'll also get a good understanding of the Hadoop Distributed File System.
Course Content

  • Analyze and Define Business RequirementLecture 1.1 Introduction to Business Intelligence

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.2 Business Analytics, Data, Information

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.3 how information hierarchy can be improved/introduced

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.4 Introduction to OLAP, OLTP, data mining and data warehouse

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.5 Difference between OLAP and

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.6 Introduction to database

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.7 A brief overview of relational model

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.8 Definition of relation, properties of relational model

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.9 Fundamental integrity rules

    Analyze and Define Business Requirement 02:53

  • Analyze and Define Business RequirementLecture 1.10 SQL statements

    Analyze and Define Business Requirement 02:53

  • Introduction to Operating SystemLecture 2.1 Introduction to Ubuntu Operating System

    Introduction to Operating System 02:53

  • Introduction to Operating SystemLecture 2.2 Basic Ubuntu commands

    Introduction to Operating System 02:53

  • Introduction to Operating SystemLecture 2.3 User privileges and roles

    Introduction to Operating System 02:53

  • Introduction to Operating SystemLecture 2.4 Secure shell configuration, configuring

    Introduction to Operating System 02:53

  • Introduction to Operating SystemLecture 2.5 Bashrc and environment files

    Introduction to Operating System 02:53

  • Java ProgrammingLecture 3.1 OOPS Principles

    Java Programming 02:53

  • Java ProgrammingLecture 3.2 The Bitwise Operators

    Java Programming 02:53

  • Java ProgrammingLecture 3.3 Programming Constructs, Methods and Inheritance

    Java Programming 02:53

  • Java ProgrammingLecture 3.4 The basic Java I/O Classes and String Handling

    Java Programming 02:53

  • Java ProgrammingLecture 3.5 Exception-Handling Fundamentals

    Java Programming 02:53

  • Java ProgrammingLecture 3.6 Multiple catch Clauses

    Java Programming 02:53

  • Java ProgrammingLecture 3.7 Nested try Statements

    Java Programming 02:53

  • Java ProgrammingLecture 3.8 Java Swing and its controls like JTextField

    Java Programming 02:53

  • Java ProgrammingLecture 3.9 Java Database Connectivity JDBC-ODBC

    Java Programming 02:53

  • Java ProgrammingLecture 3.10 Connecting Java with Database

    Java Programming 02:53

  • Hadoop FrameworkLecture 4.1 Big Data Concepts, Need for analysing Big Data

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.2 Big Data, Hadoop Architecture

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.3 Multi node installations

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.4 Cluster Architecture, Cluster configuration files

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.5 Hadoop commands, Hadoop Server

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.6 Shell commands, accessing files on HDFS and local machine

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.7 Map Reduce Framework

    Hadoop Framework 02:53

  • Hadoop FrameworkLecture 4.8 Developing Map Reduce Programs

    Hadoop Framework 02:53

  • Analysing Data Using HIVLecture 5.1 Introduction to HIVE

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 5.2 HIVE SQL

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 5.3 SQL DML statements

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 5.4 UDF in Hive using Java

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 6.1 R Overview

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 6.2 R Control constructs like loop and conditional

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 6.3 R Function. Connecting R with Hive

    Analysing Data Using HIV 02:53

  • Analysing Data Using HIVLecture 7.1 Starting HIVE in client-server mode

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 7.2 Connecting Java with HIVE

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 7.3 Integrating Java Swing

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 7.4 HIVE and JDBC for developing

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 8.1 HBASE introduction, integration with Hadoop

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 8.2 HBase Shell, introduction to JAQL

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 8.3 JAQL shell

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 8.4 Introduction to JSON files

    HIVE JDBC Connectivity 02:53

  • HIVE JDBC ConnectivityLecture 8.5 Introduction to PIG

    HIVE JDBC Connectivity 02:53
About Us
techinaut
TECHINAUT

A LEVEL

4.5 Instructor Rating
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100+ Courses

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20+ Faculty

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Industry Expert

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45000+ students enrolled

UI/UX Designer, with 7+ Years Experience. Guarantee of High Quality Work.

Skills: Web Design, UI Design, UX/UI Design, Mobile Design, User Interface Design, Sketch, Photoshop, GUI, Html, Css, Grid Systems, Typography, Minimal, Template, English, Bootstrap, Responsive Web Design, Pixel Perfect, Graphic Design, Corporate, Creative, Flat, Luxury and much more.

Available for:

  • 1. Full Time Office Work
  • 2. Remote Work
  • 3. Freelance
  • 4. Contract
  • 5. Worldwide
Reviews
techinaut author
Nicole Brown

UX/UI Designer

4.5 Instructor Rating

“ This is the second Photoshop course I have completed with Cristian. Worth every penny and recommend it highly. To get the most out of this course, its best to to take the Beginner to Advanced course first. The sound and video quality is of a good standard. Thank you Cristian. “

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