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- What makes big data "big"
- Understanding how big data impacts consumers, businesses, and research
- Exploring the intersection of data science and big data
- Facing big data's ethical challenges
- Understanding the sources and structures of big data
- Storing big data
- Prepping big data for analysis
Skill Level Beginner
- Hi I'm Bart Poulson and I'd like to welcome you to Techniques and Concepts of Big Data. Big Data refers to data that because of its size, speed or format, that is, its volume, velocity or variety, cannot be easily stored, manipulated or analyzed with traditional methods like spreadsheets, relational databases or common statistical software. We'll take a look at a practical definition of Big Data, how it relates to fields like data science, statistics and programming and the variety of people and skills involved with Big Data.
We'll also discuss how Big Data has been used in fields such as marketing and scientific research, how Big Data influences customer services like recommendation engines and the ethical issues raised by Big Data. Finally, we'll go over common methods for generating or capturing Big Data, storing and manipulating Big Data and analyzing and visualizing Big Data, including data mining and predictive analytics. The applications of Big Data have been extraordinary and its possibilities are immense.
This overview should help you get excited about what big data can do for you. And with that in mind, let's get started with Techniques and Concepts of Big Data.