Comprehensive Course on Hadoop Analytic Tool : Apache Hive
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Comprehensive Course on Hadoop Analytic Tool : Apache Hive

Get training in Big Data, Hadoop and Apache Hive with 53-lectures. Complete Apache Hive Training with 9Hrs of Videos.
4.0 (47 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
446 students enrolled
Created by Easylearning guru
Last updated 2/2016
English
Current price: $10 Original price: $20 Discount: 50% off
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Includes:
  • 9.5 hours on-demand video
  • 2 Articles
  • 14 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Install, manage and monitor Hadoop cluster on cloud
  • Query and manage large datasets that reside in distributed storage
  • Solve real case studies and work on Projects with live data from Twitter
  • Transform unstructured and semi-structured data into usable schema-based data
  • Use Apache Hive to build tables and databases to analyse Big Data
  • Write HiveQL statements for the same as you write MapReduce program in any host language
  • Write UDFs to solve the complex problems
View Curriculum
Requirements
  • Knowledge of distributed applications, how distributed applications work
  • Knowledge of relational database applications such as MySQL, Oracle, etc.
  • Familiarity with Linux System and Linux commands
Description
  • Comprehensive Course on Apache Hive provides Knowledge about the Hadoop Analytic tool in order to analyze humongous data and hiding the complexity of MapReduce Programs.
  • Learners, at the end of this training will learn to access, handle, manipulate and analyze large data sets present in the Hadoop cluster. They will be able to solve real case studies and work on Projects with live data. Writing HiveQL statements for the same as you write MapReduce program and writing UDFs in order to solve the complex problems will be easy after this course completion.
  • This course contains lectures as videos. Quizzes and Additional Exercises are present for the learners for practice and to test their knowledge. The high-quality content bestows opportunities to learners to help to acquire essential skills needed to pertain the knowledge of this analytic tool.
  • This course is for developers who want to analyze large and complex data sets, Software professionals, analytic Professionals and ETL developers. It is for all those who want to begin working humongous and complex data with comfort and ease.


Who is the target audience?
  • This course is intended for developers who will be using Hive to analyse large and complex datasets, Software professionals, analytics Professionals and ETL developers.
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Curriculum For This Course
70 Lectures
10:19:23
+
Introduction to Hive
9 Lectures 51:54
What is Big data
05:09

What is Apache Hadoop
05:51

HDFS in Hadoop
11:42

Data Processing Framework In Hadoop
07:21

Hive Use cases @ Twitter
02:37

Hive vs Mapreduce
05:04

What is Hive
05:20

Advantages of hive
01:56

Hive Architecture
06:54
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Hive Data Types and DDL
9 Lectures 01:25:55
Hive Data Types
09:34

Hive QL
03:51

DDL on Databases
13:42

DDL on Tables
08:45

Different Tables in Hive
14:00

Different Tables in Hive Contd
06:23

Advanced DDL on tables
13:18

Advanced DDL on tables Contd.
11:27

File Formats in Hive
04:55
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Hive DML and HiveQL
8 Lectures 01:55:05
DML - Loading Data in tables
15:17

Managing Output
15:58

Managing Output contd
07:08

Hive QL Queries
14:32

Operators and Functions in hive
14:30

Operators and Functions in hive Contd.
14:15

Hive Clauses
17:23

Hive Clauses Contd.
16:02
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Hive Queries and Views
5 Lectures 01:08:19
Joins in Hive
17:31

Wordcount Example using Hive
06:56

Hive View - I
09:23

Hive Views - II
15:59

Module 4 4.5 Other Clauses in Hive
18:30
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Hive Indexing and Tuning
5 Lectures 01:02:09
Hive Indexing
15:31

Indexing with Additional Properties
05:41

Tuning
11:37

Executive Hive Queries in Different Modes
18:07

Hadoop Tuning Parameters
11:13
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Compression with Hive
5 Lectures 49:38
Compression with Hive
05:04

Choosing a compression codec
08:24

Sequence Files
13:42

Sequence Files with Different Compression Types
07:42

Running Compression with Hive Queries
14:46
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UDFs in Hive
5 Lectures 49:49
Functions in Hive
05:50

Aggregation, Calling, table generating Functions
17:01

Different Kinds of UDFs
04:03

Creating and Calling UDFs in Hive
14:17

Hive UDAFs
08:38
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Customizing Hive File and Record Formats
4 Lectures 52:28
TextFile and Sequence File Formats
06:52

RCFile Format
15:42

CSV and JSON SerDe
18:40

Hive Avro SerDe
11:14
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Hive Storage Handlers and NoSQL
2 Lectures 20:08
Hive Storage Handlers
06:14

HBase
13:54
3 More Sections
About the Instructor
Easylearning guru
3.1 Average rating
250 Reviews
2,424 Students
12 Courses
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