Big Data Analytics

by Allsoft Solutions Claim Listing

This course provides a basic introduction to big data and related quantitative research methods. The aim of the course is to familiarize students with big data analysis as a tool for processing substantial research questions. 

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img Duration

3 Months

Course Details

This course provides a basic introduction to big data and related quantitative research methods. The aim of the course is to familiarize students with big data analysis as a tool for processing substantial research questions. 

The course begins with a basic introduction to Big Data and discusses what analyzing this data entails, as well as the technical, conceptual and ethical challenges associated with it. The strengths and limits of big data research are discussed in detail using practical examples.

Then the students deal with case study exercises in which small groups of students develop and present a big data concept for a specific case from practice.

This includes hands-on exercises to familiarize students with the format of big data. In addition, initial practical experience in handling and analyzing large, complex data structures is imparted.

If you ask anyone about big data, they only know: “You are talking about a huge collection of data that cannot be used for calculations unless it is provided and operated in an unconventional way.”

Big data is not just about storage and extracting data, but much more. Big data itself encompasses so many technologies that it is difficult to remember which one to start with. Not really! Some of the technologies that make up big data are Hadoop, MapReduce, Apache, Pig, Hive, Flume, Sqoop, Zookeeper, Oozie, and Spark.

Companies are urgently looking for qualified big data analysts. As data is collected and stored faster than ever before, the urgency of such professionals continues to grow.

Before getting into big data, we encourage you to fully understand this topic which is the full big data curriculum. So the next time you're starting a course, be sure to read all of the major big data topics. Allsoft Solutions covers every module up to the streaming of data.

 

Course Outline:

  • Introduction of  BigData
  • Limitations of the existing solutions for Big Data problems.
  • How Hadoop solves the Big Data problem?
  • IBM’s 4 V’s
  • Types of Data
  • Installation Of Cloudera and VMWare
  • Setup of the single node hadoop cluster
  • Describing the functions and features of HDP
  • Listing the IBM value-add components
  • Explaining what IBM Watson Studio is
  • Giving a brief description to the purpose of each of the value-add components
  • Exploring the lab environment
  • Describing and compare the open source programming languages, Pig and Hive
  • Listing the characteristics of programming languages typically used by Data Scientists: R and Python
  • Understanding the challenges posed by distributed applications and how ZooKeeper is designed to handle them.
  • Explaining the role of ZooKeeper within the Apache Hadoop infrastructure and the realm of Big Data management.
  • Exploring generic use cases and some real-world scenarios for ZooKeeper.
  • Defining the ZooKeeper services that are used to manage distributed systems.
  • Exploring and using the ZooKeeper CLI to interact with ZooKeeper services.
  • Understanding how Apache Slider works in conjunction with YARN to deploy distributed applications and to monitor them.
  •  
  • HDFS Architecture
  • Hadoop Ecosystem
  • Linux based Commands(How to work with local file system commands)
  • Hadoop Commands
  •  Sqoop
  • Sqoop intro
  • How to display tables from Rdbms Mysql for Sqoop?
  • How to display Databases from Rdbms mysql for Sqoop?
  • How to import all tables from a specific database from RDBMS Mysql to HDFS(Hadoop)?
  • How to import data from RDBMS MYSQL FROM HDFS(HADOOP)?
  • How to export data from HDFS TO RDBMS MYSQL?
  • How to import part of the table from RDBMS MYSQL TO HDFS?
  •  HIVE
  • Hive concepts
  • Hive Data types
  • Hive Background
  • About Hive
  • Hive Architecture and Components
  • Metastore in Hive
  • Limitations of Hive
  • Comparison with Traditional Databases
  • And more.
  • Mohali Branch

    E-39, Phase-8, Industrial Area, Sector -72, Mohali

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