Big data analytics is a complex process of examining large and varied data sets, to uncover information such as hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions for long term initiatives.
Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems performing over big data to predict future trends.
Enormous data analytics can be defined as the utilization of cutting-edge scientific strategies against extremely huge, diverse data that incorporate organized, semi-organized and unstructured information from various sources and in various sizes from terabytes to zettabytes.
Big data is a term applied to informational indexes whose size or type is beyond the capacity of customary social databases to catch, oversee and process the data with low latency. Big data has at least one of the following qualities: high volume, high speed, dynamic databases and high assortment. Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data multifaceted nature through new structures and wellsprings of data. For instance, enormous information originates from sensors, gadgets, audio/video, systems, logs, value-based applications and social media— quite a bit of it created progressively and at a huge rate and scale.
EMBEDICA, in partnership with various data analytics service providers who provides the platform and analytic solutions needed to build, govern, manage and explore your data and to provide customers with state-of-the-art solution for their business needs and to expand their business in diverse and fruitful areas by applying AI based techniques for maximum profit.