Big data analytics is the pursuit of extracting valuable insights from raw data that is high in volume, variety, and/or velocity.
Big data analytics systems transform, organize, and model large and complex data sets to draw conclusions and identify patterns. Skilled big data analytics professionals, who generally have a strong expertise in statistics, are called data scientists.
When used generally, the term data analytics can refer to any data analytics process, including data warehouses or data marts. While data warehouses are certainly a form of data analytics, the term itself is evolving to favor big data-capable systems. However, big data analytics refers specifically to the challenge of analyzing data of massive volume, variety, and velocity.
Today, the field of data analytics is growing quickly, driven by intense market demand for systems that tolerate the intense requirements of big data, as well as people who have the skills needed for manipulating data queries and translating results.
Access the most difficult data and file formats in Hadoop, reducing the time and cost of developing data parsers.