Comprehensive Hive Certification Training

5216 Learners

Understanding the Hive technology can lead the professionals towards achieving their career goals in dealing with the Database management. Focusing on the importance of Hive, it is an essential tool that helps the professionals to manage as well as control Big Data with ease. Moreover, Hive brings the property of structuredness to Big Data when implemented in Hadoop and that is the reason Comprehensive Hive is one of the highly sought after courses by professionals, who are looking to gain expertise in Hadoop.

It is an Open-source, peta-byte scale Data Warehousing framework based on Hadoop. Nowadays, this is very much in demand as it is very helpful in Database management to manage Big Data.

The Comprehensive Hive Training course helps the candidates in

Developing the understanding the benefits of Hive and HiveQL
It helps the candidates to perform the Data Analysis using Hive
Helps in understanding the Hive querying language and Hive UDFs
Helps in understanding the concepts such as: Loading, Querying and Importing data in Hive
Helps to develop a better understanding of using Hadoop.

Target audience

Testing Professionals
Mainframe Professionals
BI /ETL/DW Professionals
Project Managers
Analytics Professionals
Graduates aiming to build a career in Big Data and Hadoop

Prerequisites

The candidates should have:

An understanding of Linux commands and SQL Queries
Basic knowledge of core JAVA will be helpful to work on UDF

It is an Open-source, peta-byte scale Data Warehousing framework based on Hadoop. Nowadays, this is very much in demand as it is very helpful in Database management to manage Big Data.

The Comprehensive Hive Training course helps the candidates in

Developing the understanding the benefits of Hive and HiveQL
It helps the candidates to perform the Data Analysis using Hive
Helps in understanding the Hive querying language and Hive UDFs
Helps in understanding the concepts such as: Loading, Querying and Importing data in Hive
Helps to develop a better understanding of using Hadoop.

Target audience

Testing Professionals
Mainframe Professionals
BI /ETL/DW Professionals
Project Managers
Analytics Professionals
Graduates aiming to build a career in Big Data and Hadoop

Prerequisites

The candidates should have:

An understanding of Linux commands and SQL Queries
Basic knowledge of core JAVA will be helpful to work on UDF

Comprehensive Hive Certification Training Course Content

Introduction to Hive
Hive Data Types and DDL
Hive DML and HiveQL
Hive Queries and Views
Hive Indexing and Tuning
Compression with Hive
UDFs in Hive
Customizing Hive File and Record Formats
Hive Storage Handlers and NoSQL

1. Introduction to Hive

What is Big data
What is Apache Hadoop
HDFS in Hadoop
Data Processing Framework In Hadoop
Hive Use cases @ Twitter
Hive vs Mapreduce
What is Hive
Advantages of hive
Hive Architecture

2. Hive Data Types and DDL

Hive Data Types
Hive QL
DDL on Databases
DDL on Tables
Different Tables in Hive
Different Tables in Hive Contd
Advanced DDL on tables
File Formats in Hive

3. Hive DML and HiveQL

DML - Loading Data in tables
Managing Output
Hive QL Queries
Operators and Functions in hive
Hive Clauses

4. Hive Queries and Views

Joins in Hive
Wordcount Example using Hive
Hive View
Clauses in Hive

5. Hive Indexing and Tuning

Hive Indexing
Indexing with Additional Properties
Tuning
Executive Hive Queries in Different Modes
Hadoop Tuning Parameters

6. Compression with Hive

Compression with Hive
Choosing a compression codec
Sequence Files
Sequence Files with Different Compression Types
Running Compression with Hive Queries

7. UDFs in Hive

Functions in Hive
Aggregation, Calling, table generating Functions
Different Kinds of UDFs
Creating and Calling UDFs in Hive
Hive UDAFs

8. Customizing Hive File and Record Formats

TextFile and Sequence File Formats
RCFile Format
CSV and JSON SerDe
Hive Avro SerDe

9. Hive Storage Handlers and NoSQL

Hive Storage Handlers
HBase

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Comprehensive Hive Certification Corporate Training & Certification Program

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