Udemy

Big Data Analytics Using Sqoop and Hive

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  • 1,229 Students
  • Updated 5/2019
3.8
(96 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 19 Minute(s)
Language
English
Taught by
Big Data Trunk
Rating
3.8
(96 Ratings)
2 views

Course Overview

Big Data Analytics Using Sqoop and Hive

Access, Manipulate, Transform, and Analyze Massive data sets with Hands-on

Data is the new oil of this Digital Age.


Are you thinking to start your career in Big Data Analytics ? Then you have landed in the right place.


In this course, you will learn how to organize, analyze and interpret vast sources of information.


We cover all essential fundamental understanding of Big Data Analytics and provide end-to-end real life project practice.


Course contains


  1. Understanding of Big Data and MapReduce
  2. How to transfer Data from different sources using Sqoop
  3. Manipulate Data in HDFS using HIVE
  4. Real Hands experience project

You will get only in this course :


1) 24*7 support for any issue or doubt raised by student.


2) Exercises in well written document with screenshot.

Course Content

  • 7 section(s)
  • 47 lecture(s)
  • Section 1 Introduction
  • Section 2 Newly added section- Installation and Configuration of Cloudera
  • Section 3 Understand Big Data
  • Section 4 Understating of MapReduce
  • Section 5 Ingestion
  • Section 6 Hive
  • Section 7 Project

What You’ll Learn

  • After this course, students will have all the necessary foundational knowledge which is vital to be a successful big data analytics professional.


Reviews

  • S
    Stefano Rossi
    3.0

    Una buona introduzione da migliorare il modo in cui vengono esposti i contenuti

  • A
    Aleksandr Iakovlev
    1.5

    Course was recorded in 2016 with only one purpose: earn money. Self-repetitions, avoidance of any topic beyond the simplest examples. Save your money for modern courses with more practical examples

  • L
    Lucas Laskowski
    2.0

    Very poorly prepared, no substance. There is no big data at all during the whole course, unless 5 rows of data can be called a big data. You import table, you export table. No analysis at all. It is more like video user manual than learning experience. There is over 15 quiz lessons - they are silly, bad worded and no effort has been put at all into any of these. Questions for lecturer are unanswered for 2 years, even simple ones like: what is default user and password for hue browser? Some steps are skipped and you have to figure out how she got there. After finishing this I know as much about big data analytics, as I knew before taking this course. Only thing I learnt is a bit of background knowledge about why we need big data analysis programs and technical side of using scoop and hive. Defo not recommended.

  • M
    Mithun Bastha
    4.0

    Simple and brief explantion

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