Go Big: Introduction to Big Data
Computer Science and Engineering

Gartner defines Big Data as high-volume, high-velocity, and/or high-variety information assets that demand effective, innovative forms of information processing that enable enhanced insight, decision-making, and process automation. Today, the generally accepted Big Data process model has three dimensions: The 3 Vs for Volume, Variety, and Velocity.
This playlist has been compiled for individuals enthusiastic to learn more about the concept of Big Data. From some shorter courses introducing Big Data and how Big Data continues to transform the world we live, work, and think in, the playlist provides several more in-depth courses which explore areas such as Data Science and Big Data for architects.
The playlist is curated for a global audience and highlights a diversity of courses and Content Partners from multiple countries. It is meant to serve as an initial introduction to a variety of learning experiences on the topic, not as a prescribed curriculum.
Level = Beginner / All.
Curious to learn more? Explore these related playlists:
- Boost Your Digital Skills: Beginner
- Boost Your Digital Skills: Advanced
- Make Sense of the Numbers: Data Analytics Basics
15 Resources

Digital Transformation: What Is Big Data?
5 mins
Enspark

Big Data (Big Data)
40 mins
iseazy content

Big Data: Executive Briefing
26 mins
Pluralsight

Big Data—Understanding the World of Data
60 mins
Pinktum

Big Data
30 mins
Upskillist

What is Big Data?
8 mins
Coorpacademy

The Big Data market
8 mins
Coorpacademy

Big Data - Part 1
24 mins
Coorpacademy

Big Data - Part 2
40 mins
Coorpacademy

Big Data - Part 3
56 mins
Coorpacademy

Big Data & Cloud Computing
8 mins
Coorpacademy

Business Ethics: Navigate Complex Challenges In Big Data, AI And Crisis Management
46 mins
The Expert Academy

Introduction to Data Science
234 mins
Filtered

Big Data for Architects
499 mins
Packt

Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things - Insights from the book by Bernard Marr
24 mins
Emeritus

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