Join Barton Poulson for an in-depth discussion in this video Distributed storage and the cloud, part of Big Data Foundations: Techniques and Concepts.
- [Voiceover] Big data is defined by…volume, velocity, and variety.…The first of these characteristics, volume,…makes it difficult to store data on a single drive.…As a result, distributed storage,…which means storing data across more than one computer,…has become a necessity.…In a traditional storage system,…data on a disk is stored in blocks.…Each block contains the 0's and 1's…that make the bytes of letters and numbers.…Storage data also includes error correction code,…which you use to verify the integrity of storage data.…If your data set's become too large for your computer drive,…then adding an extra drive is an easy solution.…
For example, I have four external drives…routinely hooked up to my laptop,…each of which gives me extra space,…and each of which serves a particular function.…While this approach can work to a certain extent,…it has limitations.…A) They're only attached to your computer.…B) They're all in the same physical space,…so if your house burns down you lose everything at once.…C) There's usually only one copy,…
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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
What Is Big Data?
2. How Is Big Data used?
3. Big Data and Data Science
4. Ethics in Big Data
Challenges with anonymity5m 51s
5. Sources and Structures of Big Data
6. Storing Big Data
7. Preparing Data for Analysis
8. Big Data Analysis
Next steps1m 58s
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