Udemy

Big Data Analyst -using Sqoop and Advance Hive (CCA159)

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  • 5,919 Students
  • Updated 7/2021
  • Certificate Available
4.3
(361 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 57 Minute(s)
Language
English
Taught by
Navdeep Kaur
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(361 Ratings)

Course Overview

Big Data Analyst -using Sqoop and Advance Hive (CCA159)

Become Big data Analyst using Hive and Sqoop.Great course for business Analyst,Testers and Sql Developers.CCA159

You will start by learning what is Hadoop &  Hadoop distributed file system and most common hadoop commands required to work with Hadoop File system


Then you will be introduced to Sqoop Import

  • Understand lifecycle of sqoop command.

  • Use sqoop import command to migrate data from Mysql to HDFS.

  • Use sqoop import command to migrate data from Mysql to Hive.

  • Use various file formats, compressions, file delimeter,where clause and queries while importing the data.

  • Understand split-by and boundary queries.

  • Use incremental mode to migrate the data from Mysql to HDFS.


Further, you will learn Sqoop Export to migrate data.

  • What is sqoop export

  • Using sqoop export, migrate data from HDFS to Mysql.

  • Using sqoop export, migrate data from Hive to Mysql.


Finally, we will start with Apache Hive [Advance]

  • Hive Intro

  • External & Managed Tables

  • Insert & Multi Insert

  • Data Types & Complex Data Types

  • Collection Function

  • Conditional Function

  • Hive String Functions

  • Hive Date Functions

  • Mathematical Function

  • Hive Analysis

  • Alter Command

  • Joins, Multi Joins & Map Joins

  • Working with Different Files - Parquet,Avro

  • Compressions

  • Partitioning

  • Bucketing

  • Views

  • Lateral Views/Explode

  • Windowing Functions - Rank/Dense Rank/lead/lag/min/max

  • Window Specification

Course Content

  • 10 section(s)
  • 55 lecture(s)
  • Section 1 Hadoop Introduction
  • Section 2 Hive
  • Section 3 Hive Data Types
  • Section 4 Hive Functions
  • Section 5 Hive Join
  • Section 6 Working with Different File Formats & Compressions
  • Section 7 Advance Hive
  • Section 8 Hive Windows Function
  • Section 9 Sqoop Import
  • Section 10 Sqoop Export

What You’ll Learn

  • Students will learn Advance Hive and Sqoop for Big Data Analytics and Ingestion.


Reviews

  • N
    Narendrula Shravya
    4.5

    Good

  • Z
    Zuly Sara Jurado Purizaca
    3.0

    Talleres paso a paso. Algo rápido, quedo a la espera de un taller donde poder realizar las practicas

  • R
    Rapti Majumdar
    1.0

    I bought this course to get a thorough knowledge on Hive and Sqoop, it costs same as the other big data courses which covers at least 6-8 topics. So I thought this would be at a deeper level. But this is at basic level of hive and spark, nothing advanced. I doesn't clear any concepts as well (hive bucket - it would say it is similar to java bucket and then show some hands-on), just some basic hands-on which you will get in other big data courses as well along with more number of topics.

  • M
    Manash Bora
    5.0

    Limited content but sufficient to start using hive and sqoop in a real project.

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