An Advanced Guide for Apache Hive: A Hadoop Ecosystem Tool

An Advanced Guide for Apache Hive: A Hadoop Ecosystem Tool, available at $19.99, has an average rating of 3.55, with 51 lectures, based on 35 reviews, and has 193 subscribers.

You will learn about Create Databases, Table Create Hive Datawarehouse Installing, managing and monitoring Hadoop cluster on cloud Writing UDFs to solve the complex problems Querying and managing large datasets that reside in distributed storage Transforming unstructured and semi-structured data into usable schema-based data Writing HiveQL statements for the same as you write MapReduce program in any host language This course is ideal for individuals who are Any student who has hunger to learn or Any professional or student who want to make career in the field of Big Data and Hadoop It is particularly useful for Any student who has hunger to learn or Any professional or student who want to make career in the field of Big Data and Hadoop.

Enroll now: An Advanced Guide for Apache Hive: A Hadoop Ecosystem Tool

Summary

Title: An Advanced Guide for Apache Hive: A Hadoop Ecosystem Tool

Price: $19.99

Average Rating: 3.55

Number of Lectures: 51

Number of Published Lectures: 51

Number of Curriculum Items: 51

Number of Published Curriculum Objects: 51

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Create Databases, Table
Create Hive Datawarehouse
Installing, managing and monitoring Hadoop cluster on cloud
Writing UDFs to solve the complex problems
Querying and managing large datasets that reside in distributed storage
Transforming unstructured and semi-structured data into usable schema-based data
Writing HiveQL statements for the same as you write MapReduce program in any host language

Who Should Attend

Any student who has hunger to learn
Any professional or student who want to make career in the field of Big Data and Hadoop

Target Audiences

Any student who has hunger to learn
Any professional or student who want to make career in the field of Big Data and Hadoop

Hive is a SQL Layer on Hadoop, data warehouse infrastructure tool to process structured data in Hadoop. This course on Apache Hive includes the following topics:

Using Apache Hive to build tables and databases to analyse Big Data
Installing, managing and monitoring Hadoop cluster on cloud
Writing UDFs to solve the complex problems
Querying and managing large datasets that reside in distributed storage
Transforming unstructured and semi-structured data into usable schema-based data
Writing HiveQL statements for the same as you write MapReduce program in any host language
Solving real case studies and work on Projects with live data from Twitter

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: 1.1 What is Apache Hive

Lecture 2: 1.2 Prerequisites for this Course

Lecture 3: 1.3 Syllabus of this Course

Lecture 4: 1.4 Comparison of Hive with HBase and PIG

Chapter 2: Hive Architecture

Lecture 1: 2.1 What is Big Data

Lecture 2: 2.2 What is Apache Hadoop

Lecture 3: 2.3 HDFS in Hadoop

Lecture 4: 2.4 Hadoop MapReduce

Lecture 5: 2.5 Hive Use Case@ Twitter

Lecture 6: 2.6 Hive vs MapReduce

Lecture 7: 2.7 What is Hive

Lecture 8: 2.8 Advantages of HiveQL

Lecture 9: 2.9 Hive Architecture

Chapter 3: Hive Query Language

Lecture 1: 3.1 Data Types in hive

Lecture 2: 3.2 Hive Query Language

Lecture 3: 3.3 DDL on DataBase

Lecture 4: 3.4 DDL on Tables

Lecture 5: 3.5 Different Tables in Hive

Lecture 6: 3.6 Advanced DDL on Tables

Lecture 7: 3.7 File Format in Hive

Chapter 4: Module 4

Lecture 1: 4.1 DML- Loading Data into tables

Lecture 2: 4.2 Managing Output

Lecture 3: 4.3 HiveQL-Queries

Lecture 4: 4.4 Operators and Functions in Hive

Lecture 5: 4.5 Hive Clauses

Chapter 5: Module 5

Lecture 1: 5.1 Joins in Hive

Lecture 2: 5.2 Word Count Example using Hive

Lecture 3: 5.3 Hive Views-I

Lecture 4: 5.4 Hive View-II

Lecture 5: 5.5 Other Clauses in Hive

Chapter 6: Module 6

Lecture 1: 6.1 Hive Indexing

Lecture 2: 6.2 Indexing with additional properties

Lecture 3: 6.3 Tuning in Hive

Lecture 4: 6.4 Executing Hive in different modes

Lecture 5: 6.5 Hadoop Tuning Parameters

Chapter 7: Module 7

Lecture 1: 7.1 Compression with Hive

Lecture 2: 7.2 Compression codecs in Hive

Lecture 3: 7.3 Sequence Files in Apache Hive

Lecture 4: 7.4 Sequence File Compression types

Lecture 5: 7.5 Enabling Compression in Hive

Chapter 8: Module 8

Lecture 1: 8.1 Functions in Hive

Lecture 2: 8.2 Different kind of Functions

Lecture 3: 8.3 Different kind of UDFs'

Lecture 4: 8.4 Creating UDFs'

Chapter 9: Module 9

Lecture 1: 9.1 File Formats in Hive

Lecture 2: 9.2 RC File format in Hive

Lecture 3: 9.3 CSV and JSON SerDe

Lecture 4: 9.4 Hive Avro SerDe

Chapter 10: Module 10

Lecture 1: 10.1 Storage Handlers in Hive

Lecture 2: 10.2 Introduction to HBase

Lecture 3: 10.3 Load Data in HBase using Apache HIVE

Instructors

Launch Programmers
Keep Programming Simple

Rating Distribution

1 stars: 4 votes
2 stars: 2 votes
3 stars: 11 votes
4 stars: 7 votes
5 stars: 11 votes

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