Big Data

Big Data, available at $19.99, has an average rating of 3.6, with 57 lectures, 8 quizzes, based on 36 reviews, and has 242 subscribers.

You will learn about Be introduced to Data and its aspects. Be aware of the facts, capabilities and benefits of Big Data. Learn the elements (3V’s) of Big Data and their characteristics. Study Big Data analytics and how it works. Learn about implementing Big Data. Understand Big Data management and their technologies. Find out about the myths and challenges of Big Data. This course is ideal for individuals who are Beneficial to recent graduates looking to get a foothold in the IT Industry. or IT managers looking to better manage data analysis. or Businesses looking to organize and analyze large amounts of vital data in order to improve business insights. or Managers wanting to reach business goals and improve agility. or IT professionals looking to implement new data analysis tools. It is particularly useful for Beneficial to recent graduates looking to get a foothold in the IT Industry. or IT managers looking to better manage data analysis. or Businesses looking to organize and analyze large amounts of vital data in order to improve business insights. or Managers wanting to reach business goals and improve agility. or IT professionals looking to implement new data analysis tools.

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Summary

Title: Big Data

Price: $19.99

Average Rating: 3.6

Number of Lectures: 57

Number of Quizzes: 8

Number of Published Lectures: 46

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 46

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Be introduced to Data and its aspects.

Be aware of the facts, capabilities and benefits of Big Data.

Learn the elements (3V’s) of Big Data and their characteristics.

Study Big Data analytics and how it works.

Learn about implementing Big Data.

Understand Big Data management and their technologies.

Find out about the myths and challenges of Big Data.

Who Should Attend

Beneficial to recent graduates looking to get a foothold in the IT Industry.

IT managers looking to better manage data analysis.

Businesses looking to organize and analyze large amounts of vital data in order to improve business insights.

Managers wanting to reach business goals and improve agility.

IT professionals looking to implement new data analysis tools.

Target Audiences

Beneficial to recent graduates looking to get a foothold in the IT Industry.

IT managers looking to better manage data analysis.

Businesses looking to organize and analyze large amounts of vital data in order to improve business insights.

Managers wanting to reach business goals and improve agility.

IT professionals looking to implement new data analysis tools.

Big Data is the term for a collection of datasets so large and complex that they become difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization.

This introductory course will begin discussions on defining, understanding and using data. The succeeding modules will discuss the facts, capabilities and benefits of Big Data; the 3V’s of Big Data and Big Data Analytics. It will also present implementing data, Big Data Management and Big Data in the real world.

Course Curriculum

Chapter 1: All About Data

Lecture 1: Introduction and Objectives

Lecture 2: Data Defined

Lecture 3: Data, Information and Knowledge

Lecture 4: Understanding Data

Lecture 5: Data Usage

Lecture 6: Data Duplication

Lecture 7: Data Deduplication

Chapter 2: Getting Started with Big Data

Lecture 1: Introduction and Objectives

Lecture 2: Big Data

Lecture 3: Facts about Big Data

Lecture 4: Capabilities of Big Data

Lecture 5: Big Data Benefits

Lecture 6: Where Big Data is Used?

Chapter 3: Elements of Big Data

Lecture 1: Introduction and Objectives

Lecture 2: Variety

Lecture 3: Volume

Lecture 4: Velocity

Lecture 5: A Fourth V

Chapter 4: Analytics and Big Data

Lecture 1: Introduction and Objectives

Lecture 2: Big Data Analytics

Lecture 3: How to Analyze Big Data?

Lecture 4: Big Data Analytics Samples

Chapter 5: Implementing Data (Part 1)

Lecture 1: Introduction and Objectives

Lecture 2: Developing a Strategy

Lecture 3: Approach to Implementing Big Data

Lecture 4: Big Data Strategies

Chapter 6: Implementing Data (Part 2)

Lecture 1: Introduction and Objectives

Lecture 2: The Big Data Breakthrough

Lecture 3: Best Practices

Lecture 4: Current Implementation of Big Data

Lecture 5: Key Design Goals

Lecture 6: Emerging Implementation of Big Data

Chapter 7: Big Data Management

Lecture 1: Introduction and Objectives

Lecture 2: Big Data Management

Lecture 3: Big Data Management Databases

Lecture 4: Storing Big Data

Lecture 5: Hierarchy of Storage

Lecture 6: Key Requirements

Chapter 8: Big Data in the Real World

Lecture 1: Introduction and Objectives

Lecture 2: Myths About Big Data

Lecture 3: Challenges in Big Data

Lecture 4: Tips for a Successful Big Data Project

Lecture 5: Future in Big Data

Chapter 9: Course Resources

Lecture 1: Big Data Glossary of Terms

Chapter 10: Big Data Certification

Lecture 1: Final Exam

Lecture 2: Conclusion – Final Lecture

Instructors

The Art Of Service
Quality education for Career Driven IT Professionals

Rating Distribution

1 stars: 7 votes

2 stars: 2 votes

3 stars: 8 votes

4 stars: 8 votes

5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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