Hadoop Data Governance

Powerful http://www.aliyun.com/zixun/aggregation/14294.html "> 's Big Data Governance plan eliminates the guesswork of finding and using the right information to make business decisions. Many organizations are working to achieve information governance to oversee critical data on their data, raw materials, suppliers, and finances. For the same reason, companies are starting to implement big data programs, using open source technologies such as Apache Hadoop, through sensors, R ...

Eckerson Wayne, a consultant, says Hadoop provides a platform for easier control of individual data analysis and Spreadmart (report marts) built by business users, while giving them a place to perform self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, refers to the different power created by many individuals and teams ...

Eckerson Wayne, a consultant, says Hadoop provides a platform where dynamic environmental monitoring provides more convenient control for individual data analysis and Spreadmart (report marts) established by business users, while also allowing them to have local self-service analysis. Spreadmart is the abbreviation of ToolStrip Data mart, in the field of business intelligence, the different spreadsheets that multiple individuals and teams create. 　　Because the data is inconsistent, it brings a lot of trouble to the business. ...

Goals: Goal Business Outcomes: Business results enablers: support elements Organizational structures & awareness: Organizational structure and knowledge Stewardship: Management Data Riskmanagement: Data Risk Management policy: Strategy core disciplines: Core guideline data Quality Management: Number ...

Apache Hadoop is the foundation of a new generation of data warehouses. Hadoop is used by companies as a strategic role in their current warehousing architectures, such as extraction/transformation/loading (ETL), data staging, and unstructured content preprocessing. I also see Hadoop as a key technology in a new generation of large-scale parallel data warehouses in the cloud, and Hadoop complements today's warehousing techniques and low latency streaming platforms. At IBM, we look forward to the next few years, Hadoop and data warehousing technology can be more perfect for each other ...

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.

As the most widely used new http://www.aliyun.com/zixun/aggregation/13568.html "> Large data Technology, Hadoop is critical to a modern business strategy that does not need to strengthen structural industry governance to achieve sustainable development. Technology maturity relies on the concerted efforts of all parties to work together to figure out how to collaborate on a growing number of subprojects within the interior and how to develop other large data specifications and communities externally. The standard is the Hadoop industry mature essential ...

"Big Data" can be a tempting condition for an enterprise's competitive advantage, including the ability to use it to unlock a customer's confidentiality, to understand the site's usage and other key elements of the business. But everything should be prudent: if there is no proper data management process, just a passion, http://www.aliyun.com/zixun/aggregation/13844.html "> Big Data Project can bring chaos Trouble, including false data and unexpected costs. The role of data governance is to protect ...

If you think that Hadoop is ready to be your "single version facts" comprehensive repository, consider this before you leap. It is true that Hadoop has rapidly become the core component of the large data strategy for most enterprises http://www.aliyun.com/zixun/aggregation/14294.html >. But it is not mature enough to completely replace the Enterprise Data Warehouse (EDW). Because all of the benefits of Hadoop are concentrated as a unstructured data integration layer ...

I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. 　　Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...