Layout large data Microsoft Data Warehouse Integrated Machine preview

"IT168 Information" December 13, 2012 news, Microsoft Parallel Data Warehouse Global Center for Excellence director Russ Cavan to the Chinese market, introduced Microsoft's big Data strategy and parallel Data Warehouse Integration 2012 Product Roadmap, At the same time, the announcement of Microsoft Parallel Data Warehouse machine first settled in the National Audit department.

2013, China will enter the third year of Twelve-Five planning, is to further adjust and optimize the economic structure, promote industrial transformation and upgrade, to achieve the country from big to strong key year. From the national economic construction to all walks of life industrial upgrading and transformation, all work will enter a crucial stage. With the development of new technology to traditional industry and commerce, especially cloud computing, Internet of Things, intelligent city and large data technology, large data strategy is expected to become the core and nerve center of economic development.

Since cloud computing and large data concepts have been proposed, the emerging solutions for the market emerge endlessly, hardware and software integration equipment as a large data solution, plays an important role. Microsoft Parallel Data Warehouse integration, a variety of advanced data storage and processing technology into one, is Microsoft's Big Data strategy is an important part.

Microsoft provides actionable insight for large data

Microsoft's Big Data strategy helps governments and companies meet the challenges of massive data. According to IDC, the total amount of global information will increase by one times every two years, while the total global data generated in 2011 is 1.8ZB, compared with the 2010 growth of 1ZB, equivalent to the sum of global historical data. The advent of large data has led to profound social and commercial changes worldwide.

▲ Russ Cavan, director, Global Center for Excellence, Microsoft Parallel Data Warehouse

According to Russ Cavan, Microsoft's Big Data strategy is dedicated to enabling all users to gain insights from virtually any data that can be translated into business execution, including those previously hidden in unstructured data. Microsoft's big Data strategy and solutions include:

• The data management layer, which collects and manages all types of data, including structured, semi-structured, unstructured, and streaming data.

• The expansion layer, through data discovery to enrich data sets, with multiple types of data from the global interconnection, and through advanced data analysis to transform data into information and knowledge.

• Insight layer, providing users with comprehensive and in-depth insights through familiar tools such as Excel, PowerPivot, and Powerview, to provide intuitive and easy-to-use decision support from leadership to each employee, i.e. to realize the consumption of data and information.

The main advantages of Microsoft's large data solutions include:

• Front-End use of familiar Microsoft Office Excel, IE, SharePoint and other tools, at the same time can use a variety of devices, including notebooks, mobile terminals, from any data at any time to obtain the information needed to provide decision support.

• Connect with global data at any time to discover hidden value, combining internal and public data and services.

• Handle any size and type of data with a modern data management platform that supports any data, not only with Windows Ease-of-use, but also with the flexibility and scalability of the cloud.

To help companies quickly deploy large data solutions that are compatible with the most popular unstructured data system Hadoop, Microsoft offers cloud-based hdinsight services on Microsoft Windows Azure platforms while Windows A private cloud based hdinsight server is available on the server. Microsoft Hdinsight Solution 100% is compatible with the Apache Hadoop standard to help organizations gain business insights from any structured and unstructured data. Windows Azure further simplifies the deployment of Hadoop, making it possible for users to deploy the Hadoop cluster in the cloud within 10 minutes and manage it easily through Microsoft System Center.