Big Data Analytics & Data Science
Big data analytics is the use of advanced analytic techniques against very large, diverse big data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. The amount of data in today’s world is staggering. Big data offers vast opportunities for businesses, whether used independently or with existing traditional data. Data scientists, analysts, researchers and business users can leverage these new data sources for advanced analytics that deliver deeper insights and to power innovative big data applications. Some common techniques include data mining, text analytics, predictive analytics, data visualization, AI, machine learning and statistics. This is where Cubex as a company aims at solving customers real problems.