Aziksa On line training with Virtual Lab and Classes

Hadoop and Big Data Fundamentals (Live Virtual)

5 Days

Aziksa

This course will begin with the big data motivation and explaining all the components in Hadoop including Hadoop cluster and distributed file systems. How to use HDFS distributed storage.... Learn More

Duration : 5 Days | Classes : 4 | Modules : 0 | Labs : 0 | Videos : 5

This course will begin with the big data motivation and explaining all the components in Hadoop including Hadoop cluster and distributed file systems. How to use HDFS distributed storage. What is map reduce and its effect in distributed processing. Write a count program in java and explore map reduce further in python.

Audience : Hadoop Developer

Prerequisites : basic computer skills, basic knowledge in programming

Course outline :

Module 01 - Big Data. Motivation, Hadoop components

Module 02 - Using the Hadoop HDFS Distributed Storage

Module 03 - Distributed processing Map Reduce

Module 04 - Word count java program in Map Reduce

Module 05 - A Better Word count program

Module 06 - Map Reduce and other languages (a simple example in python

Hive -

Module 01. Hive – Basic Concepts

Module 02. Hive - Joins

Module 03 Hive - Partitions

Module 04 Hive - Bucketing and external tables

Module 05 Hive - Data pipeline version 1 (This is basic data warehouse)

Module 06 Hive - Data pipeline upgrade (build on top of previous case)

Pig -

Module 01. Pig – Basic Concepts and comparison with Hive

Module 02. Pig – Programming language

Module 03 Pig – Programming language (Continuation)

Module 04 Pig – Reading date from Hive Tables

Module 04 Pig – Ad Hoc data analytics with Pig

Module 05 Hive - Re-implementing Data pipeline using pig

Course modules

Module name	Objective

Classes

Class name	Start date	End date	Seat	Labs
Hadoop and Big Data Fundamentals	16 Feb 2015	20 Feb 2015	20	40
Hadoop and Big Data Fundamentals (Live Virtual)	13 Apr 2015	17 Apr 2015	20	20
Hadoop and Big Data Fundamentals (Live Virtual)	15 Jun 2015	19 Jun 2015	20	20
Hadoop and Big Data Fundamentals (Live Virtual)	13 Jul 2015	17 Jul 2015	20	20

Hive - A SQL like programming language for Big Data (Live Virtual)

2 Days

Aziksa

Hive, allows SQL developers to write Hive Query Language (HQL) statements that are similar to SQL statements; For anyone with a SQL or relational database background, this section will lo... Learn More

Duration : 2 Days | Classes : 3 | Modules : 0 | Labs : 0 | Videos : 7

Hive, allows SQL developers to write Hive Query Language (HQL) statements that are similar to SQL statements; For anyone with a SQL or relational database background, this section will look very familiar. Course will cover basic concepts, joins, partitions, bucketing, external tables etc.

Audience : Apache Hadoop Developer

Prerequisites : basic computer skills, basic knowledge in programming

Course outline :

Module 01. Hive – Basic Concepts

Module 02. Hive - Joins

Module 03 Hive - Partitions

Module 04 Hive - Bucketing and external tables

Module 05 Hive - Data pipeline version 1 (This is basic data warehouse)

Module 06 Hive - Data pipeline upgrade (build on top of previous case)

Course modules

Module name	Objective

Classes

Class name	Start date	End date	Seat	Labs
Hive - A SQL like programing language	17 Feb 2015	18 Feb 2015	20	10
Hive - A SQL like programming language for Big Data (Live Virtual)	14 Apr 2015	15 Apr 2015	20	10
Hive - A SQL like programming language for Big Data (Live Virtual)	16 Jun 2015	17 Jun 2015	20	10

Pig - A data flow language for Big Data (Live Virtual)

2 Days

Aziksa

Pig was initially developed to allow people using Hadoop to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. The Pig programming la... Learn More

Duration : 2 Days | Classes : 3 | Modules : 0 | Labs : 0 | Videos : 4

Pig was initially developed to allow people using Hadoop to focus more on analyzing large data sets and spend less time having to write mapper and reducer programs. The Pig programming language is designed to handle any kind of data. Pig has two components - the first is the language itself, which is called PigLatin and the second is a runtime environment where PigLatin programs are executed.

Audience : Apache Hadoop Developer

Prerequisites : basic computer skills, basic knowledge in programming

Course outline :

Module 01. Pig – Basic Concepts and comparison with Hive

Module 02. Pig – Programming language

Module 03 Pig – Programming language (Continuation)

Module 04 Pig – Reading date from Hive Tables

Module 04 Pig – Ad Hoc data analytics with Pig

Module 05 Hive - Re-implementing Data pipeline using pig

Course modules

Module name	Objective

Classes

Class name	Start date	End date	Seat	Labs
Pig - A data flow language	19 Feb 2015	20 Feb 2015	20	10
Pig - A data flow language for Big Data (Live Virtual)	16 Apr 2015	17 Apr 2015	20	10
Pig - A data flow language for Big Data (Live Virtual)	18 Jun 2015	19 Jun 2015	20	10

Hadoop Architecture (Live Virtual)

1 Day

Aziksa

Hadoop is a framework to solve for large data processing. It is helping businesses to answer relevant business question by looking into the data they could not process earlier. This train... Learn More

Duration : 1 Day | Classes : 5 | Modules : 0 | Labs : 0 | Videos : 1

Hadoop is a framework to solve for large data processing. It is helping businesses to answer relevant business question by looking into the data they could not process earlier. This training is for anyone, who is interested in understanding Hadoop architecture and its components.

Audience : Developer, Architect, Buisness Users, Managers

Prerequisites : None

Course outline :

Architectural Goals

Hadoop Landscape

Hadoop Core Components

Replication and rack awareness

Reading and Writing in HDFS

Course modules

Module name	Objective

Classes

Class name	Start date	End date	Seat
Hadoop Architecture (Live Virtual)	4 Feb 2015	4 Feb 2015	20
Hadoop Architecture (Live Virtual)	11 Mar 2015	11 Mar 2015	20
Hadoop Architecture (Live Virtual)	8 Apr 2015	8 Apr 2015	20
Hadoop Architecture (Live Virtual)	13 May 2015	13 May 2015	20
Hadoop Architecture (Live Virtual)	17 Jun 2015	17 Jun 2015	20

Hadoop for Business Users (Live Virtual)

1 Day

Aziksa

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. You will get a deeper and practical understanding of Hadoop™ using real world us... Learn More

Duration : 1 Day | Classes : 5 | Modules : 0 | Labs : 0 | Videos : 0

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. You will get a deeper and practical understanding of Hadoop™ using real world use cases and it will enable the students to make right decision on use of this technology. Included in this course are high level overviews of Apache Hadoop platform.

Audience : Data architects, data integration architects, managers, executives, business users and decision makes who want to understand how to use Apache Hadoop solutions to solve their business problems.

Prerequisites : None

Course outline :

Understand big data

Understand the benefits of Hadoop

Understand how big data and Hadoop fit into your current infrastructure and environment

Explain the architecture of a Hadoop installation

Recognize use cases for Apache Hadoop

Course modules

Module name	Objective

Classes

Class name	Start date	End date	Seat
Hadoop for Business Users (Live Virtual)	3 Feb 2015	3 Feb 2015	20
Hadoop for Business Users (Live Virtual)	3 Mar 2015	3 Mar 2015	20
Hadoop for Business Users (Live Virtual)	7 Apr 2015	7 Apr 2015	20
Hadoop for Business Users (Live Virtual)	5 May 2015	5 May 2015	20
Hadoop for Business Users (Live Virtual)	3 Jun 2015	3 Jun 2015	20

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