Big Data Hadoop Developer Course with Handson

Name: Big Data Hadoop Developer Course with Handson
Rating: 3.9 (46 reviews)

Learn HDFS, HIVE, HBASE, PIG, YARN, Advanced MapReduce concept 1, 2 and other important technologies

Created byEdionik Solutions

Last updated 2/2019

English

What you'll learn

Basics of Big Data
Detailed understanding of Big Data analytics
Master HDFS, MapReduce, Hive, Pig, HBase, Yarn

Course content

7 sections • 88 lectures • 10h 47m total length

1.1 Introduction to BigData6:03
1.2 Types of Data10:06
1.3 Introduction to Hadoop5:51
1.4 Comparison with RDBMS3:47
1.5 Hadoop Features2:58
1.6 Hadoop Ecosystem12:30
1.7 Hadoop Core Components6:38

4.1 Advanced MapReduce I3:11
4.2 GenericOptionsParser, Tool and ToolRunner2:56
4.3 Serialization and Deserialisation3:25
4.4 Chaining of Jobs2:44
4.5 Distributed Cache1:35
4.6 Counters4:53
4.7 JUnit Testing1:37
4.8 Schedulers3:01
4.9 Data Compression in Hadoop7:21
4.10 Different Input and Output Formats in MapReduce4:27
4.11 Chain Mapping14:25
4.12 Compression in Gzip6:57
4.13 Distributed cache8:52
4.14 Counters16:43
4.15 MRUnit Test6:52
4.16 Multiple inputs12:22
4.17 ReadSequence File7:43

5.1 Introduction to Apache Pig1:36
5.2 PIG Latin language3:52
5.3 Running PIG in Different Modes2:49
5.4 Apache PIG Architecture1:18
5.5 Grunt Shell7:17
5.6 Pig Latin Statements7:22
5.7 Pig Data Model- Scalar Types6:09
5.8 Complex Types10:49
5.9 Arithmetic Operators6:30
5.10 Comparison Operators10:36
5.11 Cast Operator12:44
5.12 Type Construction Operators6:58
5.13 Relational Operators0:45
5.14 Loading and Storing5:37
5.15 Filtering Operators10:39
5.16 Grouping and Joining Operator- Part 116:39
5.17 Grouping and Joining Operator- Part 213:40
5.18 Combining and Splitting Operators9:30
5.19 Sorting Operators6:48
5.20 Diagnostic Operators10:58
5.21 Filtering Operators-Pig Streaming with Python6:50

6.1 What is Hive1:19
6.2 Hive Use Case@ Twitter2:46
6.3 Hive vs MapReduce2:44
6.4 What is Hive3:18
6.5 Advantages of HiveQL2:50
6.6 Hive Architecture4:53
6.7 Data Types in Hive2:49
6.8 Hive Query Language1:42
6.9 DDL on DataBase13:56
6.10 DDL on Tables11:53
6.11 Different Tables in Hive18:39
6.12 Advanced DDL on Tables21:54
6.13 File Format in Hive6:10
6.14 DML- Loading Data into tables11:50
6.15 Managing Output24:41
6.16 HiveQL-Queries8:14
6.17 Operators and Functions in Hive25:40
6.18 Hive Clauses30:31

Requirements

Basics of UNIX
LINUX
Knowledge of Core Java
Basics of SQL

Description

This course on Big Data and Hadoop is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem Tools. It is a comprehensive Big Data Hadoop course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This is an industry recognized Big Data Hadoop training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. This Hadoop training course will prepare you to clear big data certification.

Why should you take Big Data Hadoop?

Average Salary of Big Data Hadoop Developers is $135,000 (Indeed. com salary data)
McKinsey predicts that by 2018 there will be a shortage of 1,500,000 data experts
The Hadoop Big Data analytics market is projected to grow to USD 40.69 Billion by 2021 - MarketsandMarkets

Who this course is for:

Programming Developers and System Administrators
Experienced working professionals
Business Intelligence, Data warehousing and Analytics Professionals
Project managers
Graduates, undergraduates eager to learn the latest Big Data technology

Big Data Hadoop Developer Course with Handson

What you'll learn

Explore related topics

Course content

Module 1:- Introduction to Big Data and Hadoop7 lectures • 48min

Module 2- HDFS(Hadoop Distributed File System)5 lectures • 39min

Module 3- Mapreduce8 lectures • 51min

Module 4- Advanced Mapreduce-I17 lectures • 1hr 49min

Module 5- Apache Pig21 lectures • 2hr 39min

Module 6- Apache Hive18 lectures • 3hr 16min

Apache HBase: NoSQL Database for Hadoop12 lectures • 46min

Requirements

Description

Who this course is for: