Dealing with the problem of data resolution HP high-level interpretation of big data puzzle

"Tenkine to HP Global travel Beijing Station" Big data is already a universal consensus, but large data processing has become a worldwide problem. What kind of solution does HP offer users in terms of big data? Hewlett-Packard Business Group Technical Services Division, Asia-Pacific and Japan Regional Vice president, consulting services business director Mohan Krishnan for HP's large data solutions introduced.

We produce data every day in our productive lives, and each enterprise's data footprint is unique, leading to a significant difference in the type and content of data that needs to be processed. At the same time, unstructured data occupies 80%, the amount of unstructured data and the importance of information is difficult to be defined, and it becomes a difficult point of data processing.

Data analysis can bring benefits to customers, but there is a large number of "black data", that is, the influx of data into the database for a variety of reasons has not been analyzed in time. The source of the data is diverse, therefore needs the very good system to carry on the analysis, simultaneously the data also has the timeliness, this has also made the request to the system processing speed. In short, large data processing requires both quality and speed.

HP is designed to analyze and implement data system solutions through large data protection. HP's infrastructure Transition Experience Workshop is a starting point for companies. For the Chinese market, Krishnan says China has many companies with big data needs, and HP helps Chinese customers solve their problems. HP has a number of consulting team, through the discovery link to solve the user's problem, once the definition of this aspect, to develop the corresponding large data strategy for different customers to customize.

HP, for example, helps FullSpeed Inc. to process large data, combine large data, it strategies and prices, and leverage the Hadoop solution to integrate the company's mind management and information consolidation.

At the same time, it is experiencing consumer, unstructured data becoming more and more important, coupled with HP's large data services, can be a good solution to large data requirements. Analysis and information optimization is different, as the industry evolves further, the future will be unstructured data trends.

In terms of unstructured data processing, HP has worked closely with SAP Hana to address the current situation of the transformation of hyper-unstructured information in large data markets.

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