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When there is a continuous flow of data input, processing and output, this is when real-time or near real-time processing capabilities are required.

WHISHWORKS partners with Databricks to drive business value with Big Data Analytics, deeper customer insights and new competitive advantages

WHISHWORKS announced they are finalists under four categories in Computing’s Big Data Excellence Awards 2018.

To qualify for ‘Big Data’, you need to have a high volume of data that comes in at different speeds (velocity) and in different formats (variety)

Big Data is not expected to slow down any time soon. Healthcare and Retail, IoT and Cloud, as well as data security and processing will be key drivers.

Key developments of the past decade in the big data space and predictions for the near future; from the early Hadoop era to the data lake and data fabric eras.

IoT presents immediate opportunities for the banking industry in three main areas: customer experience, product development and payments.

How Data Science systems differ from Business Intelligence (BI) systems in terms of flexibility, accessibility and functionality.

Businesses manage considerable amounts of data. What signifies whether these data are ‘big’ are the 3 Vs of Big Data -variety, velocity and volume.

Brands who manage to capitalise on Big Data to provide contextually relevant experiences based on needs and wants, will win the game.

Big data is a term used to describe data sets –both structured and unstructured– that are too large or complex for traditional applications to process.

Find out how Big Data and Analytics can bring significant benefits to the oil, energy and utilities sectors.