What is Big Data Analytics?
Big Data, as the name suggests, refers to large and complex data sets which may be unstructured, semi structured or structured which are quite challenging to deal with traditional data-processing application software. These traditional database application software will not be able to capture, extract, analyze and process within tolerable time limits. In Big data, the main focus is on unstructured data and constantly changing data size from few dozen terabytes to many exabytes of data.
Big Data requires specific set of technologies and analytical methods to transform/make sense("value") out of such a high volume, high frequency of updated data(velocity) in various formats/variety(viz. numeric, textual or images/videos) having essential data quality(veracity). The objective is to derive some meaningful information from large data sets using advance tools/technologies.
Big Data requires specific set of technologies and analytical methods to transform/make sense("value") out of such a high volume, high frequency of updated data(velocity) in various formats/variety(viz. numeric, textual or images/videos) having essential data quality(veracity). The objective is to derive some meaningful information from large data sets using advance tools/technologies.
