SAP Global CTO: Big Data is a big lie! ”

The American Fortune Booth magazine recently published a Irfan Khan's signature article, "The big Lie about Big Data", Irfan is SAP Sybase Company Global CTO, responsible for SAP company global database strategic direction. The

topic is appealing and even "sensational," but reading, many of which are similar to what I've said in my previous speech at the Communications Industry Cloud Summit, I think the word "big data" is now very hot, But to some extent it is only a new round of talk of understanding and understanding the challenges of data management and processing over the past 30-40 years. Of course, each round of the argument is not a complete repetition of the meaning, cyclical rise, after all, each round of hardware, software, network, business concerns are different, the data is indeed a attributes, the 30 premise of the "Data Warehouse" The concept of the challenge and the present challenge is not the same, 10 years later to see the current " Big Data "may also be a smile, then, we seem to be able to understand the true meaning of this reincarnation."

The following is a translation of the article for your reference:

The day has fallen again. This time it was "big data" that formidable IT department. But like "Doomsday" and "Aliens", "Big Data" is fictitious, is a "big lie".

As gossip rumors, no matter where you go, the discussion of "big data" is everywhere. Search for this phrase in Google, search results more than 1.3 billion. It even has a special entry in Wikipedia. The deluge of data has led many to conclude that businesses will be overwhelmed. This is not to say that the amount of information inside the enterprise will not grow. On the contrary, the enterprise's internal information is also difficult to escape the growth of the fate. Because big data is always a problem.

Despite persistent claims that the torrent of data will lead to doom, the IT industry has always been able to improve its computing infrastructure to make them faster, more capacity, cheaper, and smaller, making the lingering message "Armageddon" self-fulfilling.

Today, by using the column database analysis architecture, organizations can not unduly worry about "big data", but can also make "big data" better for business operations. In a column database, users can invoke and analyze large datasets at any time, even for large datasets of various data types, such as unstructured data. Not only are they available at any time, they are faster to perform, they can be expanded more easily according to the requirements of the job, thus serving as many users as possible to cover as much data as possible.

This practice is to dig out the "big data" outside the organization and to extract valuable parts for use by the enterprise. Its purpose is to make the organization more flexible, more competitive and improve the profitability of the organization.

One of the most important steps in deploying a data warehouse for analysis is to find quality-qualified data. From data purification to the adoption of a general strategy for data management-the technology used to ensure data quality is ripe. Internal auditing is also needed to obtain the best quality data.

Data Latency: Consider three aspects of data latency within your organization: Timing of data occurrence, duration of events, and time required for decision making.

Data Association: Work with business users to determine the context of data, and to establish interlinkages with multiple datasets in use, taking into account data growth rates and sources of duplication.

Self-service: Determines how advanced users control the data used for queries without affecting it or other resources.

Chief data officer, figuratively data officer: Designate a senior employee as the chief data officer to enable it to maintain organizational governance while ensuring data operability. The importance of the

Data quality cannot be overemphasized. In the case of comscore, a cloud company that provides analytics services and solutions for the E-commerce market, the company has learned from its inception that the focus of online marketing is shifting from the number of visitors to profitability. ComScore's client knowledge platform (Customer knowledge Platform) provides a holistic view of the behavior and preferences of customers browsing the Internet. The service tracks all users who are willing to provide Internet behavior for analysis, recording their surfing and buying behavior on various websites.

(editor: Heritage)