Over the first half of this decade, big data grew massively in business. During the second half of the decade, we’re seeing a global migration of big data to the cloud. Here is why that transition is happening.
- The Early Days of Big Data
- Why are cloud data analytics now pivotal?
- #1 Argument – More open-source-friendly
- #2 Argument – Strong focus on ease-of-use
- #3 Argument – Collaborative approach to analytic challenges
- #4 Argument – Cloud a good place to assess cloud
- #5 Argument – Most reasonable location for data pipeline
- Onward & Upward
The Early Days of Big Data
Every company likes the basic idea of using big data to their advantage. That’s why there has been such a surge to adopt tools to do so. Look back a half-decade ago, and we see enterprises from retail to insurance to telecom all taking forward steps with these initiatives. Those were essentially the early days on the big data frontier. The experiences of those firms, and the developing services of their providers, bolstered the understanding of big data and how companies can work through obstacles.