Although Big Data bring many attractive opportunities, organizations are also facing a lot of challenges such as data capture, storage, searching, sharing, analysis, and visualization. In recent years, a large number of Big Data techniques and technologies have developed to overcome all the obstacles. Big Data techniques such as statistics, data mining, machine learning, neural networks, social network analysis, signal processing, pattern recognition, optimization methods and visualization approaches can be used to process efficiently large volume of data.

This article posted by the  group analyzes the technologies available for processing large amounts of data, underlines the differences between batch and in-memory tools, and lists SQLstream as one of the few real-time stream data analytics platforms on the market.

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