Era of Big Data
Explore the evolution of big data, cloud computing, distributed architectures, NoSQL databases, real-time processing, advanced analytics, ML, AI, and the 8 necessary steps for data management in this chapter.
Evolution of Big Data and Cloud Computing In the early 2000s, a revolutionary concept called Big Data emerged. It wasn't just about data; it was about massive volumes of structured and unstructured information analyzed for strategic decision-making. The three V’s - Volume, Velocity, and Variety - became its defining pillars. SAS introduced two more V’s - Variability and Veracity - emphasizing the challenges in managing unpredictable data qualities. Big Data wasn't just a buzzword; it became the force driving smarter decisions, cost reduction, faster decision-making, and innovation. From…
saved by
related reading
- Understanding ELT: extract, load, transform | dbt Labsgetdbt.com
- Big Data is Deadmotherduck.com
- Learning Tracks — Technicallytechnically.dev
- Explainer: what is big data? | PandoDailyweb.archive.org
- What I Learned From The Modern Data Stack Conference 2021 - James Lejameskle.com
- Software at Scale 13 - Emma Tang: ex Data Infrastructure Lead, Stripesoftwareatscale.dev
- The Distributed Computing Manifesto | All Things Distributedallthingsdistributed.com
- The Great Data Debate | Futurea16z.com
- homepages.cwi.nl/~boncz/lsde/papers/p215-dageville-snowflake.pdfhomepages.cwi.nl
- The Beginner's Guide to Databasestechnically.substack.com
- Tech Trends 2022www2.deloitte.com
- The Next Cloud Data Platform | Greylockgreylock.com