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.
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  • Lectures 70
  • Length 10.5 hours
  • Skill Level Intermediate Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 10/2015 English

Course 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.


What are the 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

What am I going to get from this course?

  • 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

What 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.

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
Introduction
Preview
03:54
Prerequisites of Advanced Hive
Preview
00:41
What you will learn
Preview
02:32
Comapre with HBase and Pig
Preview
03:01
Section 2: Introduction to Hive
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
Section 3: Hive Data Types and DDL
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
Section 4: Hive DML and HiveQL
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
Section 5: Hive Queries and Views
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
Section 6: Hive Indexing and Tuning
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
Section 7: Compression with Hive
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
Section 8: UDFs in Hive
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
Section 9: Customizing Hive File and Record Formats
TextFile and Sequence File Formats
06:52
RCFile Format
15:42
CSV and JSON SerDe
18:40
Hive Avro SerDe
11:14
Section 10: Hive Storage Handlers and NoSQL
Hive Storage Handlers
06:14
HBase
13:54
Section 11: HCatalog
Need of Shared MetaStore
04:28
What are HCatalog tables
08:50
Section 12: Quizzes
Quiz for Introduction to Hive
5 pages
Quiz for Data Types and DDL
3 pages
Quiz for Hive DML and Hive QL
4 pages
Quiz for Hive Queries and Views
10 pages
Quiz for Hive Indexing and Tuning
4 pages
Quiz for compression with Hive
5 pages
Quiz for UDFs in hive
2 pages
Quiz For Customizing Hive file and Record Format
3 pages
Quiz for Hive Handler and NoSQL
2 pages
Quiz for HCatalog
2 pages
University DataSet
Article
Section 13: Hive Datasets and Commands
Hive Datasets and Commands
Article

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