The story of how data became big starts many years before the current buzz around big data. Already seventy years ago we encounter the first attempts to quantify the growth rate in the volume of data ...

Large Scale and Big Data: Processing and Management In this excerpt from chapter 9, readers are provided on overview of the NoSQL world, exploring the recent advancements and the new approaches of Web ...

Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

The world is rapidly advancing towards becoming a fully digital society. At a global level, the amount of data is projected to increase more than fivefold, rising from 33 zettabytes in 2018 to 175 ...

As with cloud, what one person means when they talk about big data might not necessarily match up with the next person's understanding. Just by looking at the term, one might presume that big data ...

Jelani Nelson designs clever algorithms that only have to remember slivers of massive data sets. He also teaches kids in Ethiopia how to code. For Jelani Nelson, algorithms represent a wide-open ...

Big data refers to extremely large and complex data sets that are so massive and intricate they cannot be managed or analyzed by traditional data processing tools. In life sciences, these vast ...

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files. These digital documents serve as ...

Data analytics isn't new, but the number of companies offering "big-data" solutions has certainly risen in recent years. To help IT professionals and technology decision makers to navigate the ...