Explore how Big Data revolutionizes decision-making with increasing volumes, variety, and velocity of data. Uncover its importance, tools, uses, and future potential in transforming industries.

What does it mean to do “big data” in 2019 and just what is "big data?" There are no easy answers, but as we increasingly tout everything and anything as “big data” it is worth stepping ...

eCampus News assistant editor Jake New explored the working definition of Big Data analytics, as understood by some of the field's most prominent voices.

Big data analytics breaks down the datasets into smaller chunks for efficient processing and employs parallel computing to derive intelligence for effective decision-making (see MPP).

Based on my industry experience, I believe these are the top eight trends that will define the data analytics market in 2022 and beyond.

Big Data: Defining its definition Big Data is all the rage these days, as are its constituent technologies like Hadoop, NoSQL, and the mystical discipline of data science.

Big Data is revolutionizing 21st-century business without anybody knowing what it actually means. Now computer scientists have come up with a definition they hope everyone can agree on.

ESG sees big data security analytics solutions evolving along a continuum At the end of 2012, ESG conducted a research project looking at big data security analytics from the demand-side.

Big data storage: What is big data, what compute/storage system configurations are used for big data analytics, and what type of storage infrastructure does it require?