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Home » Blogs

Big data processing techniques to streamline analytics

Submitted by on October 7, 2018 – 2:48 amNo Comment

Data is often referred to as the new oil — the fuel that drives our industries and creates new billionaires. But data has several advantages over oil because it’s cheap, easy to transport, infinitely durable and reusable. Data also has far more applications, and its profitability explains why Uber’s market value is higher than traditional carmakers and why Airbnb gets more clients every month than Hyatt.

However, data needs processing and refinement, just like oil. When dealing with personal data, transactional data, web data and sensor data, implementing useful big data processing techniques has been a tough job even for computers. Companies used to have to take a representative sample of the data for analytical purposes, but this process changed with the evolution of big data analytics.

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