Business intelligence strategy and big data analytics

In this opportunity Michael DiehrВ talks about this great solution in his article SAP HANA powers WalmartвЂ™s Data cafГ©. This technology can support volumes up to a petabyte of data in-memory while returning query results in under a second ( вЂњBluefin demonstrates how SAP HANA, at Petabyte scale, enables manufacturing revolutionвЂќ. This solution was named Data CafГ©, and had the participation of SAP, one of the leaders in enterprise application software, using itвЂ™s powerful in-memory platform database SAP HANA. With all of this information they can make a decision in a fast and safe way.Д¬heck this article Big Data at Walmart: How the Mind-Blowing 40+ Petabyte Improves Retail Decision-MakingВ to see how this revolution of data models is giving value to companies like Walmart in their search for opportunities and improvements. It is an AmericanВ multinationalВ retailingВ corporationВ that operates as a chain ofВ hypermarkets,В discount department stores, and grocery stores.В Is one of those companies thatВ mustВ handle a lot of data and were looking for an analytics solution, cloud-based thatВ couldВ integrate a lot of sources like meteorological data, economic data, Nielsen data, telecom data, social media data, gas prices, and local events databases.

This Big Company is Wal-Mart Stores, Inc. This technology was thought for real time analytics of large amounts of information.Д«ut which company do you think needs this kind of capacity and requisite?Д«ernard Marr, Internationally best-selling author keynote speaker leading business, technology and data expert, as he is described in his LinkedInВ account, talks about this revolution of data,В and how a big company in the United States worked on a huge data center in the cloud,В to quickly get answers and find problems in sales that can be easily and quickly solved at the moment these are occurring,В insteadВ of waiting for implementing a solution when they lost enough money and realized it was a bad decision or a human mistake. The in-memory data platformВ resolved this issue. Business intelligence and analytics, big data analytics, Web 2.0. The question that typically comes to mind is how can we handle that kind of records and get an acceptable response time?. Now hearing people talking about petabyteВ is not unusual and demonstrates that we can still talk about Big Data as something really huge.

But with time we realized that we need more and we can get it. Big Data and Business Intelligence Excerpted from: MongoDB: Bringing Online Big Data to Business Intelligence & Analytics Introduction Business Intelligence (BI) and analytics provides an essential set of technologies and processes that organizations have relied upon over many years to guide strategic business decisions. It looks likeВ itВ was yesterday whenВ terabyteВ hard drives were introducedВ toВ the market this technologyВ offers aВ solution to many companies that handle large volumes of data.

Business intelligence strategy and big data analytics