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A recent study by Harvard Business Review revealed that 60% of enterprise business leaders believe real-time customer analytics is crucial to provide personalization at scale. According to the study, the number is expected to increase to 79% by 2020.
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Data processing is a pivotal function to make use of innovative information technology (IT). The data dealt in the technology field are too big to handle them meticulously because there’s a chance of anomaly in real-time data, and this is a significant risk by which data can be lost.
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Data for any business is highly crucial resource as it helps businesses understand the customer and business pattern and make specific strategies.
This is the age of Data. It’s flowing all over, like from Smartphones, Devices, Internet of Things(IoT), surveillance, Market data or mouth of words, etc. Data of your concern is the thing of your interest.
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In recent times, the software industry has expanded, new technologies are being tested and used. There is a demand for Big data which was not felt in
If you are a part of the business world in some capacity, you can’t do without big data. Real-time big data analytics is crucial in today’s times. Initiatives must be made to make sure that this data is analyzed correctly so that insight can be gained.
Apache Spark use cases have been gaining a lot of fame in its area of work. It has probably become one of the largest open source communities in big data.
