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This course includes:

  • 7 hours on-demand video
  • 37 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
IT & Software Other IT & Software Apache Hive

Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool

In and Out of Apache Hive - From Basic Hive to Advance Hive (Real-Time concepts) + Use cases asked in Interviews
Bestseller
Rating: 4.4 out of 54.4 (2,602 ratings)
13,655 students
Created by J Garg
Last updated 12/2020
English
English
30-Day Money-Back Guarantee

What you'll learn

  • Learn Full In and out of Apache HIVE (From Basic to Advance level).
  • Strength of this course is ADVANCE HIVE which consists of those Hive areas that are actually used in Real-time projects.
  • Querying and managing large datasets that reside in distributed storage.
  • Learn Questions and Use cases asked in Interviews.
  • The course will be updated frequently, every-time including new topics.
  • Data-sets and Hive queries are available in resources tab. This will save your typing efforts.
Curated for the Udemy for Business collection

Requirements

  • Basic Knowledge of Hadoop file system (HDFS)
  • Basic Knowledge of SQL
  • Rest everything is covered in this course (Hive + Advance Hive)

Description

Apache Hive is a data processing tool on Hadoop. It is a querying tool for HDFS and the syntax of it's queries is almost similar to our old SQL. Hive is an open source-software that lets programmers analyze large data sets on Hadoop.

Benefits of this course:

"Basic Hive is not sufficient if you want to work on Real-time projects.”

Make yourself prepared to work on Real time Big data and Hive projects by learning Advance Hive from this course. Enroll into this course and get end to end knowledge of Basic + ADVANCE Hive + Interview asked Use cases. This course is very rare of its kind and includes even very thin details of Hive which are not available anywhere online.

In this course you will get to understand a step by step learning of very Basic Hive to Advance Hive (which is actually used in Real-time projects) like:

  • Variables in Hive 

  • Table properties of Hive

  • Custom Input Formatter

  • Map and Bucketed Joins

  • Advance functions in Hive

  • Compression techniques in Hive 

  • Configuration settings of Hive

  • Working with Multiple tables in Hive

  • Loading Unstructured data in Hive

And many more......

This course is a full package explaining even rarely used commands and concepts in Hive. After completing this course you won't find any topic left in Hive. This course is made keeping in mind the Real Implementation of Hive in Live Projects.

Apart from this I have included 1 more section which is Use cases asked in Interviews. Usually students can answer the direct questions asked by Interviewers but got stuck on Use cases . For that I have explained the frequently asked Use cases with their proper practical working in Hive. 

Additionally ,You can download the Step Step Installation Guide (pdf) to Install Hadoop and Apache Hive

Who this course is for:

  • Student who wants to learn Basic Hive + ADVANCE HIVE (Real Project Oriented).
  • Software Engineers who wants to learn What and How Hive queries are used in Real time projects.
  • Techies who wants to get knowledge of Real-time Use cases asked in Interviews.

Featured review

Venkatesh M
Venkatesh M
771 courses
8 reviews
Rating: 4.5 out of 59 months ago
Thanks to the author for designing the course. It's a good course covered most of the stuff in the hive. Little disappointment if the author needs to cover more on windowing function and more performance optimization techniques. That's the only drawback apart,a very good course to gain a decent knowledge in the hive.

Course content

19 sections • 77 lectures • 7h 2m total length

  • Preview03:44
  • Announcement
    01:28
  • Motivation of Hive
    01:21
  • Sql vs Hive
    01:32
  • Preview02:08
  • Architecture of Hive
    04:58

  • HADOOP AND HIVE INSTALLATION
    08:17
  • Create databases
    07:15
  • Preview08:15
  • Table creation and loading data into it |Part 2
    03:32
  • Internal vs External table- Explained
    10:28
  • Create Tables
    1 question
  • Insert statement
    06:30
  • Multi insert statement (Advance)
    02:44
  • Alter Table Schema
    06:53
  • Sorting -- sort by, order by, distribute by, cluster by
    07:23

  • Date and Mathematical functions
    06:07
  • String functions
    05:39
  • Split(), Substr(), instr() functions
    03:05
  • Conditional statements
    04:56
  • Explode and Lateral view ( Advance functions)
    07:21
  • Rlike function (Advance)
    03:04
  • Rank(), Dense_rank(), Row_number() (Advance)
    10:12
  • Practice Mathematical Functions
    1 question

  • What is Partitioning?
    01:42
  • Static partitioning
    07:02
  • Dynamic partitioning
    04:38
  • Alter Partitioned Table and MSCK Repair command (Advance)
    06:25

  • Preview02:27
  • Create Bucketed Table
    08:11
  • Tablesampling (Advance)
    05:09
  • No_drop, Offline command (Advance)
    05:04
  • Partitioning
    1 question

  • Inner Joins on 2 Tables
    03:38
  • Outer Joins on 2 Tables
    04:35
  • Join 3 Tables in Hive
    04:32
  • Memory Management & Optimization of Joins
    02:23
  • Preview05:47

  • What are views?
    02:06
  • Creating Views in different ways
    07:21
  • Advantages of Views
    02:39

  • Creation of Indexes (Compact and Bitmap)
    09:52
  • Multiple Indexes on same table
    08:16
  • When and When not to use Indexing
    01:33

  • What is UDF
    01:47
  • UDF Implementation - Practical
    07:40

  • Skipping Header and Footer records while loading in table
    08:02
  • Recommendation
    01:55
  • Immutable Table property
    10:28
  • Purge property + Difference between Drop and Truncate
    05:12
  • Preview07:26
  • Preview10:12
  • ORC Table properties
    04:01

Instructor

J Garg
Senior Big data Consultant in a prestigious MNC
J Garg
  • 4.4 Instructor Rating
  • 2,602 Reviews
  • 13,808 Students
  • 1 Course

Working as a Senior Big data Consultant in a well known MNC. Have 6.5 years of experience in Hadoop Technologies and Data analysis. I have implemented many end to end customer projects while serving the role of Technical Lead. I am also engaged in Classroom training and training freshers in my Company. 

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