Hadoop Enterprise Integration

Learn how to integrate Hadoop to your own infrastructure seamlessly with end-to-end demos.
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Instructed by Melih Koca IT & Software / Other
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  • Lectures 11
  • Length 2 hours
  • Skill Level All Levels
  • 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 9/2015 English

Course Description

This course aims to train people, who wants to know distributed computing, the history of the Hadoop, enterprise applications of it and how to integrate Hadoop to your own conventional infrastructure.

This course includes video demos to show, how an enterprise company can integrate Hadoop to their infrastructure

Hadoop is a leading and growing technology, that needs to be considered when an enterprise wants to develop their own infrastructure. The first and the most important advantage of Hadoop technology is the ability of making some incredible calculations and processes for very low costs, that appliances can never reach.

I this course, we will see some integration and implementation processes of Hadoop for an enterprise company.

There are 10 different quizzes with 82 questions in different subjects and a final exam.

All the fill-in the blanks questions counts as 2 points and other questions has 1 point value. All the points that you get from the questions will affect your final point with 40% and the final exams weight is 60%. If your grade is larger than 70 you will get a certificate of Hadoop enterprise integration.

What are the requirements?

  • Basic Linux commands

What am I going to get from this course?

  • Understand how can they position Hadoop in their organization
  • Be aware of real-life use-cases of Hadoop
  • Learn how to integrate your Big-Data to your infrastructure
  • Learn real-life use-case with end-to-end video demo

Who is the target audience?

  • Growing Big-Data knowledge of your company.
  • If you plan to use Hadoop and Big-Data environments in your company, this is a good way to learn some real-life use-cases

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.


Section 1: Introduction

This is the introduction video of the course that explains what we will learn in this course

Section 2: Distributed Computing and Storage Systems

In this section, we will make a quick introduction of distributed computing, storage systems, and Hadoop.

Big-Data 101
5 questions

In this lecture we will learn about conventional storage and processing environments and why we need Hadoop to handle Big-Data

Conventional Storage and Processing Systems
10 questions
22 pages

In this lecture we will learn about Hadoop's features, components and its ecosystem.

Hadoop Version < 2 Basics
10 questions
Section 3: Enterprise Use-Cases

For many companies Hadoop is a need to handle massive amount of data but how can you integrate Hadoop to your environment? Where are the blueprints? How can systems interact with each other?In this course we will learn how to build our environment case by case.

Hadoop Enterprise Use-Cases
10 questions
Section 4: Integrating Hadoop to Your Environment

In this video we will learn how to deploy 4 machines cluster to build our Big-Data environment from Amazon Web Services.

Deploying 4 Nodes Cluster From AWS
10 questions

Deployments are finished now we can start to configure the machines to install Cloudera Hadoop.

Making Machine Configurations
10 questions

In this lecture we will learn how to install Cloudera Hadoop step-by-step. After this lecture you will be able to install your Hadoop by yourself.

Installing Cloudera CDH 5
10 questions

In this lecture you will be able to create Hive tables y yourself with web based tools that included to Cloudera Impala. You can find sample data at the attachments.

Creating Hive Tables From Data
7 questions

This lecture is about making the process automatic. The most enterprise level jobs needs automatisation of jobs. In this lecture we will learn how to do this job.

Creating Automatic Data Load Operation to Hive
5 questions

We said we will learn the exact life cycle of the data, that includes the visualisation part so in this course we will connect our Big-Data platform to a business intelligence tool to visualise our data.

Visualization of Big-Data with Tableau
5 questions
Section 5: Final Exam
25 questions

If you get 70 points from this quiz, you will be a certified Hadoop admin.

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Instructor Biography

Melih Koca, Big-Data Guy

I am the "Big-Data Guy". This is a strange way to say that but, I spent my last five years to develop Big-Data applications for enterprise companies. My expertise and knowledge used to develop Big-Data environments for lots of top enterprise companies from Turkey, that includes Telecom, Banking and health care companies. Even Turkey's first Big-Data focused company built by me and my team.

I am graduated from Computer Engineering from Anadolu University. I got my Master degree from Computer Science of Ozyegin University, with a subject of "Turning data into information with Hadoop in enterprise environments".

15+ years software development experience

8+ years enterprise hardware experience

5+ years Big-Data and Hadoop experience

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