Big Data Complete Certification Course
Big Data Complete Certification Kit
This certification kit would be 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, and IT professionals looking to implement new data analysis tools.
Uncover the most valuable and effective approach to Big Data management. Big Data provides powerful insights into the current and future status of an organization. Become a valued member of your organization by learning the strategies needed to improve your company’s agility today.
Big Data is the sum of all the information about everything and anything that is being captured every second of every day. These are datasets that grow so large they become difficult to work with using traditional tools and processing applications. Big Data aims to integrate both structured and unstructured data while addressing scalability, speed, mobility, security, stability, and flexibility. This Certification Kit will provide you with information on how to get started with Big Data, Big Data Analysis, Big Data main concepts, implementation, and management techniques. This certification kit would be 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, and IT professionals looking to implement new data analysis tools.
This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest data trends, and to add to their Big Data toolbox.
We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of big data is a combination of organizations having the tools, skills and more importantly, the mindset to see data as the new oil fuelling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish.
Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com
PDF eBook to download for additional content and reference material.
Multimedia presentations, quizzes and exercises to gain knowledge about Big Data. (You can purchase course extensions when you need more time)
Included in the course is the exam preparation, to make sure you pass your certification exam - which is also included in your course at no extra cost. (* Additional exam sittings can be purchased at $45.00 each)
The recommended minimum contact hours to pass the certification test is 18 hours.
Big Data Certification Kit Workbook
1.1 Introduction and Objectives
1.2 Data Defined
1.3 Data, Information and Knowledge
1.4 Understanding Data
1.5 Data Usage
1.6 Data Duplication
1.7 Data Deduplication
Reading Assignment
2.1 Introduction and Objectives
2.2 Big Data
2.3 Facts about Big Data
2.4 Capabilities of Big Data
2.5 Big Data Benefits
2.6 Where Big Data is Used
Reading Assignment
3.1 Introduction and Objectives
3.2 Variety
3.3 Volume
3.4 Velocity
3.5 A Fourth V
Reading Assignment
4.1 Introduction and Objectives
4.2 Big Data Analytics
4.3 How to Analyze Big Data
4.4 Big Data Analytics Samples
Reading Assignment
5.1 Introduction and Objectives
5.2 Developing a Strategy
5.3 Approach to Implementing Big Data
5.4 Big Data Strategies
Reading Assignment
6.1 Introduction and Objectives
6.2 The Big Data Breakthrough
6.3 Best Practices
6.4 Current Implementation of Big Data
6.5 Key Design Goals
6.6 Emerging Implementation of Big Data
Reading Assignment
How much time do you need for this course?
Regular price
180 Days Access
What will you learn?
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