Big data to the enterprise IT department does not need to formidable
Source: Internet
Author: User
KeywordsLarge data necessary unstructured data transformation
Recently, the US Forbes magazine published a "Big data is a big lie" of the signature article, the author of SAP Sybase global CTO Irfan Khan said that the serious data from the big challenge is not as scary as people think, corporate IT departments do not need to pose formidable posture.
He said, from the database to the http://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse to today's large data, the rapid growth of data is a trend, and the corresponding data processing methods are changing, improve , this is a spiraling development process.
and "Huge amount of data" is just a label for big data. In addition, the diversity of data, the complexity of management, and real-time analysis are the challenges that users must face in dealing with large data.
In the large data age, the enterprise needs to face the constantly changing data, so it needs to process and analyze the data in real time, which undoubtedly increases the difficulty of the data analysis, but also improves the accuracy of the enterprise predicting the future market changes.
For enterprises, whether the use of large data analysis tools, not based on the size of the amount of data owned by the enterprise, as long as the enterprise has the demand for business forecasts, should use large data analysis tools as soon as possible.
Many people think that large data means unstructured data. In fact, this is a "lie". In fact, more than 85% of the global data produced is indeed unstructured data. But in the current large data application, the enterprise mainly deals with the structured data.
Today, many vendors with structured data processing tools are turning to Hadoop to find a good way to deal with unstructured data. However, most manufacturers of unstructured data analysis tools, but also the first to transform the unstructured data into structured data before processing.
Cloud computing has brought about changes in the IT infrastructure, and large data has been a powerful catalyst in the transformation of business. From this perspective, large data for the enterprise is a challenge, but also an opportunity to achieve business transformation. With the rise of large data applications, the need for new types of professionals such as data scientists and data analysts will become more urgent.
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