Big data refers to massive, complex data sets that traditional data management systems cannot handle. When properly collected, managed and analyzed, big data can help organizations discover new insights and make better business decisions.
Bigdata, in technology, a term for large datasets. The term originated in the mid-1990s and was likely coined by Doug Mashey, who was chief scientist at the American workstation manufacturer SGI (Silicon Graphics, Inc.).
Big Data refers to vast and rapidly growing volumes of data that are too large and complex for traditional data processing tools to manage. This data comes in many forms structured (e.g., tables), semi-structured (e.g., JSON, XML), and unstructured (e.g., text, images, video).
Current usage of the term bigdata tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from bigdata, and seldom to a particular size of data set.
Big data refers to extremely large and complex data sets that cannot be easily managed or analyzed with traditional data processing tools, particularly spreadsheets.
But BigData is not just about size. It is about the unprecedented way we can now capture, store, and analyze information. It has transformed from a technical concept used by scientists and engineers into a force shaping every aspect of human life.
Big Data refers to large complex data sets that are used in most modern business intelligence strategies. Today, we'll cover the basics of Big Data, how it works, where it's used, and essential technologies.
Bigdatatechnology includes tools, techniques, and frameworks to work around processing, storing, managing, and analyzing large and complex data sets that otherwise cannot be handled by traditional data processing applications.
BigData refers to data sets that are too large and complex to be processed by standard database management tools. Understanding these complex data structures plays a key role in helping modern businesses gain competitive advantage.