Define Data Consistency

The previous article introduced some basic concepts of data quality, data quality control as the basic link of Data Warehouse, is the foundation of guaranteeing the application of upper layer data. Data quality assurance consists mainly of data Profiling, data auditing and data revision (information correcting) three parts, the previous article describes the content of the information Profiling, Profiling the data in the process of obtaining the summary statistics, so the following ...

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

By clearly defining the relevant concepts of large data, enterprises can plan their own data system correctly, and locate the traditional technology and new technical methods appropriately. With the rapid development of it technology and the emergence of new technologies, the industry has generally confused many basic concepts. This is also the case in today's most popular large data fields. The concepts of structured data and unstructured data are frequently cited, but the parties are often diverging. The confusion of the concept of data has greatly influenced the enterprise to plan the data system clearly and correctly. The author of this article from the actual work ...

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility, 　　Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

"Tenkine Server channel September 5 News" The current large data is very hot, but specific to what is large data, each manufacturer has different answers. We know that the industry relies on four characteristics to define large data: Volume, large volume, PB level; Produced, a wide range of data types; veracity, low value density; Velocity, fast processing. 　　In short, you need to grab massive amounts of data from different dimensions and quickly turn them into ordered, available information. At this stage, the main problem of large data is divided into 3 categories: the expansion of traditional business ...

The Forbes website has published Paul Magnol Paul Magnone's article about the impact of big data on businesses. Magnol that people should be able to figure out what kind of data the enterprise needs and how to use it well before making big data plans. Here's the full text: There's a lot of talk about big data all the time, but there's always a debate about it. Big data isn't about you, you're not the victim, on the contrary, it's an opportunity for you and your organization, and you need to be prepared for the real value of big data. For the past two weeks, I have attended ...

The Forbes website has published Paul Magnol Paul Magnone's article about the impact of big data on businesses. Magnol that people should be able to figure out what kind of data the enterprise needs and how to use it well before making big data plans. Here's the full text: There's a lot of talk about big data all the time, but there's always a debate about it. Big data isn't about you, you're not the victim, on the contrary, it's an opportunity for you and your organization, and you need to be prepared for the real value of big data. For the past two weeks, I have attended ...