Data Auditing Tools

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 ...

With the country's strategic thinking of promoting big data to promote economic and social transformation and development, the construction of big data platform is now the focus of government informationization construction, and provincial governments rely on a strong information system to take the lead.

Currently, the Hadoop-based big data open source ecosystem is widely used. At the earliest, Hadoop was considered to be deployed only in a trusted environment, and as more departments and users joined, any user could access and delete data, putting data at great security risk.

Private cloud computing often requires third-party tools to accomplish certain tasks, such as application migration, virtual machine configuration automation, and environmental monitoring. Private cloud computing benefits from three aspects of Third-party tool applications: Service catalogs, security, and storage. The service catalog or self-service website is the crux of all cloud computing. By allowing end users to choose from a list of available cloud services, they put power in the hands of end users. Lack of proper management or service application monitoring will leave you completely out of control of your cloud. Security is any virtual ...

The audit community has begun to consider how to make use of large data in audit work and whether it is necessary to invest heavily in purchasing cutting-edge data analysis tools, with a view to greatly expanding the ability of external auditors to excavate business books and records. 　　However, in the process of advancing to the next audit era, we have encountered increasingly complex regulatory and legal provisions that could lead to a standstill in the transition process. From the perspective of future audit, the listed companies should give auditors more access, no longer limited to the transaction samples, but extended to all the general ledger and database. Audit services company Conf ...

Abstract: UF UAP in more than 10,000 large-scale enterprise project practice found that the integration platform in the process of building a large number of work need to use professional integration tools to complete. Such as master data management, enterprise service bus, enterprise portal, enterprise security search and more. At present, informatization planning pays more attention to the construction of a unified platform, in which "integration" plays an important role. Data integration, can be different sources, formats, characteristics of the nature of the data to a common identification methods to focus on the enterprise data to solve the problem of unity and sharing; application integration, the application of different architectures can be unified ...

BEIJING, July 22, 2014--companies are looking for innovative ways to manage as many data and data sources as possible. While technologies such as Hadoop and NoSQL provide specific ways to deal with large data problems, these technologies may introduce islands of data that can complicate data access and data analysis needed to form critical insights. In order to maximize the value of information and better handle large data, enterprises need to gradually change the data management architecture into a large data management system to seamlessly integrate various sources, all types of data, including Hadoop, relational databases, and nos ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Data quality (information Quality) Is the basis of the validity and accuracy of the data analysis conclusion and the most important prerequisite and guarantee. 　Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. ...

Assuming that the Internet can provide students with quality free education resources, then all universities have to answer parents a question--what is the cost to students and what is the best resource? On the evening of May 22, 2014, Xu, director of the Information Office of Shanghai University, threw out such a sharp topic on the "CIO Salon for cloud computing Big Data Industry". Indeed, with the development and popularization of MOOC (massive open online courses, a large-scale web-based open course), the traditional teaching model is being broken. Using cloud computing ...

Data quality (Quality) is the basis of validity and accuracy of data analysis conclusion and the most important prerequisite and guarantee. 　　Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. We usually filter dirty data through data cleansing to ensure the validity and accuracy of the underlying data, and data cleaning is usually the front link of data entry into the Data warehouse, so the data must be ...