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Why & How To Build A Microsoft Big Data Solution
We can build big data solutions simply as an experimental platform for investigating data, or we can build a more comprehensive solution that integrates with your existing data management and BI systems. While there is no formal set of steps for designing and implementing big data solutions, there are several methodologies that we would consider using our industry experience. Ensuring that you think about these solutions will help you to more quickly achieve the results you require, and can save considerable waste of time and effort with competitive pricing.
Rapid increase of digitized information has proliferated a data deluge, the data comes from multiple sources such as cloud services, telemetry, call centers, embedded systems, devices & solutions. It is extremely harder to analyze Unstructured data. For meaningful decisions, Organization has to study Unstructured along with Structured data. Real time insights from input files rather waiting too long from Structured Data.
Gartner Research Findings
As per Gartner, 80% of organization data is Unstructured 8% of global companies are using big data analytics so far. By 2017 , 25% of global companies will adopt big data analytics for at least one use case for security & fraud detection