企业数据管理

Enterprise Data Management

Understand structured transactional data and known questions along with unknown, less-organized questions enabled by raw/external datasets in the data lakes. Topics include data strategy and data governance, relational databases/SQL, data integration, master data management, and big data technologies.

1574 次查看
印第安纳大学
edX
  • 完成时间大约为 12
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

How to design relational databases that are used to manage operational systems

How to query relational databases using Structured Query Language (SQL)

How to design data warehouses and business intelligence systems

Understand the principles of data profiling, data integration, and master data management

Understand the basics of Hadoop, Hive and Pig

课程概况

High-quality information is the key to successful management of businesses. Despite the large quantity of data that is collected by organizations, managers struggle to obtain information that helps them make decisions. While operational processing systems help capture, store, and manipulate data to support day-to-day operations of organizations, reconciled systems — sometimes referred to as data warehouses or business intelligence (BI) systems — support the analysis of data, thus, enabling decision making.

With the advent of big data systems, organizations have turned toenterprise data management frameworks to manage and gain insights from the vast amount of data collected. While storage costs themselves are relatively affordable, the bigger challenge has been finding an appropriate mechanism to manage the data as many technologies (e.g., relational databases, data warehouses) have limitations on the amount of data that can be stored.

This course focuses on realizing the business advantage and business potential of operational, reconciled, and big data systems as well as data assets in supporting enterprise data management strategies and enterprise data analytics.

Verified Learners will need to purchase a textbook in order to successfully complete the course. See the FAQ for details.

预备知识

None.

常见问题

Does this course require a textbook?

Yes, if you are Verified Learner, a textbook is required. If you choose to verify, you will also need to purchase a copy of Hoffer, J., Venkataraman, R., & Topi, H. (2019). Modern Database Management (13 ed.). Pearson. Print ISBN: 9780134773650, 0134773659: eText ISBN: 9780134792293, 0134792297. This textbook typically costs around $59.99 to rent and $89.99 to purchase permanently. A digital copy is acceptable.

声明:MOOC中国十分重视知识产权问题,我们发布之课程均源自下列机构,版权均归其所有,本站仅作报道收录并尊重其著作权益。感谢他们对MOOC事业做出的贡献!
  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • JANUX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc
  • (部分课程由Coursera、Udemy、Linkshare共同提供)

© 2008-2022 CMOOC.COM 慕课改变你,你改变世界