Transactional Data Definition

Many people have a misconception that there is an intrinsic balance between the number of datasets and the quality of the data they maintain internally. This problem appears frequently and becomes Tom's Financial Services information http://www.aliyun.com/zixun/aggregation/16967.html ">sharing and Analysis Center (FS-ISAC) and other places ...

If you want to summarize your dataset to a http://www.aliyun.com/zixun/aggregation/14417.html ">apache Hadoop cluster that you cannot coexist in a similar database, If you expect to build a unified view between them, you may feel a rude awakening. Quality issues are not uncommon when starting to address sources of information that have not been fully utilized in the past. When exploring underutilized data, quality problems can become a rat's nest full of filth ...

In this article, learn how to apply predictive analysis to improve the business operations of multiple functional departments of a wholesale distribution enterprise, and understand the IBM product set, including the http://www.aliyun.com/zixun/aggregation/13568.html "> The research of large data technology and the early application of large data technology with the growth of skills and data in the future. This article focuses on the predictive analysis and its related analysis process, and you may have learned a lot about it in other forums. These articles are not limited to ...

The public cloud not only changes the price structure of computing and storage, but it also expands the scope of what enterprise it can do. This is especially true when working with large datasets, where there is no practice for flexible computing and storage access. The loose definition of "big Data" is a dataset that is too large to be processed with traditional data management techniques and infrastructure. Detailed server logs, click Stream data, social network data, and mobile device data are complementary to transactional data types in the Data warehouse and in business intelligence systems. In addition, the public cloud data repository and Third-party accelerators also provide large data set topics from T ...

When I just walked into the office today, I instantly saw a young girl sitting on the front of the station, because that work station's baffle is some high, therefore only exposes half face, the appearance I thought is in, but very delicate, also shows a lively and lovable, a look is that kind of into the workplace soon freshman, 　　Because she and Guo sister a comparison to know, Guo Sister revealed is a working woman temperament, and she revealed is more students sister temperament. Anyway, this girl is the kind of pure, naïve, and not familiar with the job ...

Recently read some articles about the development of database technology, basically revolve around the discussion of SQL and NoSQL to unfold. Remember when the NoSQL movement just started, "Dour No to SQL" slogan, of course, the slogan did not become a reality, people eventually accepted the not-only of SQL. But really to give NoSQL the next definition, it is not easy, people used to MongoDB, Redis such products as a general definition of NoSQL, can be attributed to the "four major categories." But ...

After Facebook abandoned Cassandra, HBase 0.89 was given a lot of stability optimizations to make it truly an industrial-grade, structured data storage retrieval system. Facebook's Puma, Titan, ODS time Series monitoring system uses hbase as a back-end data storage System. 　　HBase is also used in some projects of domestic companies. HBase subordinate to the Hadoop ecosystem, from the beginning of the design of the system is very focused on the expansion of the dynamic expansion of the cluster, load are ...

Liang: Good afternoon, I am the Super Cloud Product manager Leung Yiu-chung, thank you just now my two leaders to do a more wonderful speech, more vivid, give me half an hour to introduce you to the Yun Hui. Before I introduce this product or solution to you, I would first explain to you our company's corresponding concept of large data and large data corresponding solutions in our company. We have three questions to solve for big data or three questions to ask the customer, there are three. The first one, the customer's actual demand is what he is now in the big ...

Absrtact: In the torrent of technological change, EMC is redefine (redefining) itself. For the past more than 10 years, EMC has evolved from a storage hardware vendor to an information infrastructure solution provider.     Now that it is working toward a torrent of cloud computing and big data-technology change, EMC is "Redefine" (redefining) itself. The past ...

"At present, it is getting softer", don't think, this sentence is used to describe the development trend of enterprise IT architecture, to summarize the cloud computing era software definition of all the characteristics of the times is not too much. The imperative of storage virtualization of course, this is the demand of many enterprises, they want to make better use of the existing limited budget by consolidating the physical architecture and using more virtual servers to reduce the cost of server hardware. Although a lot of software and hardware vendors in the server virtualization has come up with a very mature solution, but, to today's traditional virtual ...