Stream processing

It is designed to act on real-time and streaming data with “continuous” queries. With data that is constantly streaming from social networks, there is a definite need for stream processing and also streaming analytics to continuously calculate mathematical or statistical analytics on the fly within these streams to handle high volume in real time.

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Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
Big data ranks 20th across 33 key technologies when businesses were asked their top technologies and initiatives strategic to business intelligence.
The number of IT professionals using descriptive and predictive analytics grew from the mid-40th percentile to high 60th percentile between January 2018 and January 2019.
By 2025, IDC predicts that the total amount of digital data created worldwide will rise to 163 zettabytes, ballooned by the growing number of devices and sensors
90 percent of IT professionals plan to increase spending on BI tools.
More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
73 percent of businesses consider Spark SQL critical to their analytics strategies as a big data access method.
59 percent of executives say big data at their company would be improved through artificial intelligence (AI).
79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.

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