MongoDB Development and Administration -Tutorial [Free]

This is the Introductory session on MongoDB and NoSQL. It covers Introduction to Big Data ,NoSQL - What & Why?, Cap Theorem ,MongoDB Introduction - Design Goals, Architecture ,Installation, Simple Examples and Advanced Teasers

It clears a lot of myths and confusion about NoSQL, What are the various NoSQL Databases and comprasion of NoSQL Databases.

This is a part of Hadoop and Big Data course. Our full Hadoop and Big Data course consists of Introduction of Hadoop and Big Data,HDFS architecture ,MapReduce ,YARN ,PIG Latin ,Hive,HBase,Mahout,Zookeeper,Oozie,Flume,Spark,Nosql with quizzes and assignments.

More details below:
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How this works -

1. Our classes are conducted live online by our instructors via webinar or hangout. These are not pre-recorded classes. The instructor delivers the class using presentations, collaborative drawing tools, screenshares.

2. Every class is recorded, complete with the screen and the audio, and uploaded to the Learning Management System which is accessible to our attendees for life.

3. At the end of each session, assignments are provided which the attendees have to submit in the LMS. The assignments are continuously reviewed by our instructors and teaching assistants. In case we conclude that an attendee requires extra detailing, we schedule extra one-on-one sessions with that attendee.

5. After all sessions are over, we ask for the student's preference for a project. We form teams of 3-4 members and based on their interests we assign a project to each team. A project is usually of three weeks duration. If a team has an idea it wants to work on as a project, we screen the idea and the team can work on it, or we assign a project from the industry.

6. Based on your performance in Quizzes, Assignments and Projects, we provide the certificate and LinkedIn Recommendation, we will endorse you with tags such as Hadoop, Big Data.
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About the Our Big Data and Hadoop Course

Our Big Data and Hadoop course is designed to impart knowledge, skills and hands on experience required to become a successful Hadoop Developer, Administrator or Tester.

Concepts Covered: Big Data, NoSQL, Streaming, Analytics
Tools Covered: HDFS, MapReduce, Pig, Hive, HBASE, Zookeeper, Flume, Sqoop, Oozie, Spark, Storm, Mahout
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What makes this Course unique -

Interactive Classes: More Questions. Less Lectures.
Simple explanations to complex topics by industry experts
Hands on workshops and real life projects.
Quizzes & Assignments
Certificate of Course at the end of course
A real life project involving Hadoop
Lifetime access to course content
Cloud Labs™ - Access to the cloud infrastructure if learners don't wish to install Hadoop on their computers
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What are the prerequisites to join Big Data and Hadoop course?
To be able to take maximum benefit out of this course, you should have knowledge of the following:

1. Basics of SQL.
2. A know-how of the basics of programming. We will be providing video classes covering the basics of Java and Python.
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Why Learn Big Data and Hadoop?

Big Data is a collection of massive and complex data sets that are very difficult to manage and process with the existing tools intended for that purpose. Data generation is becoming a more obvious result of our everyday devices becoming cheaper, more powerful, compact and connected. We are generating data all the time such as tweeting, using emails, using facebook, uploading photos etc. Similarly our devices are also connected and are generating data. The result is a gargantuan mass of data that needs to be looked at for informed decision making.

The only way ahead for organizations is to be able to store and process such large amounts of data, and for which, they use Big Data platforms like Hadoop. That proves the high demand of Hadoop Developers, Administrators, Tester and Scientists.

The other way to measure the demand for Big Data and Hadoop technologies is to look at the number of jobs being posted around the world on these technologies.

Also, Big Data features in the top #3 technology trends in organizations as per Forbes and Gartner.