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.
Enroll now: Big Data
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
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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
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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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