Guest post by Amanda Greenwood.
It’s been nearly a decade since interest in big data began taking off. Yet because the term is used in so many different contexts—from artificial intelligence (AI) applications to business intelligence to ecommerce to the Internet of Things (IoT)—there’s still a lot of confusion around it.
What is big data & where did it come from?
Stripped to its essence, big data is a volume of data so large that traditional data processing tools and methods such as Excel spreadsheets or text processors can’t handle it.
“The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.” – Forbes