Big Data, Data Analytics and Data Science | BI-BIGDATA.com

Big data is BIG NEWS in Industry today. Big data is nothing but characteristics of data then bigness of data. Big data really implies different analytics, different data structures and different diversity to the analytics.

And diversity of application was never exists before which is driven by different variety of applications. Currently applications are dealing with this kind of data and ready to present analytics with it.

Common Problems of Big data is rich enthralling set of assets of applications leading from the front lines of the business like Marketing Optimizations, to the back office like Risk Analytics, and into operations like Hardware Optimization.

New analytics capability with Microsoft Big Data. One way we can describe Business Intelligence with Big data is really moving from customer transactions to customer interactions with the business. Not just understanding of transactional data but

• What you buy?
• When you bought it?
• How much you paid for it?
• What’s the favorites you buy?
• What’s your demographics?
• Where you live?
• What’s frequency? and all those kind of things.

But really moving from just enhancing that into all what other interaction business had with customers like whether on website, with mobile devices, over call center or other aspects.

Big data is actually extension to analytics and the applications they could be delivered the Big data miracles. How we can extend traditional data warehouse?

Big data can actually extend the new world of structured and unstructured data following data sources so that we can get better understanding of business.

• Sensor data
• Machine data
• Voice data
• Images data
• Video data
• Spatial data
• Web logs
• Click stream, etc.

I’ll post more on Microsoft Big Data Solution with Apache Hadoop based Service hosted with Windows Azure.

Thanks,

Sandip Shinde