Big Data

In the first part of our list of Big Data success stories, we described 4 real-life use cases of businesses across the globe adopting the Big Data to optimize their operations and gain more profit.

Enterprise businesses across the globe come to realize the necessity of using their vast data stores to gain yet another competitive edge over their less techy competition.

While to many businesses these components of Big Data operations seem interchangeable, if not fully the same, Big Data engineering actually differs quite a lot from data warehousing.

While Big Data is still more of an umbrella buzzword for many productive, easily scalable and cost-efficient tools and solutions, the true meaning depends on who uses the term and for what reason.

When we talk about Big Data analytics, we should first understand why this data is so big and what is the actual need of analyzing it.