Description
Organizations struggle with their capabilities to develop analytical approaches to managing the massive amounts of data they wish to examine. Many enterprises have created a variety of ways to report and present data for decision-making, but they have not adopted a unified approach to analytics, one that the entire organization can use with comfort and adapt for any business need. This seminar introduces the basics of data science and data analytics for handling massive databases. Many organizations also need to understand how analytics is connected to the core domains of enterprise data management (data governance, metadata management, data architecture).
The course covers concepts of data mining for big data analytics, focusing on the descriptive aspects of data analytics and introduces appropriate analytical skills. Through case studies and team interaction attendees will attain the real-world implementation skills necessary to build a successful strategy for big data governance and stewardship. In addition, it provides valuable insight into the components of a successful enterprise information management program that will inform any organization’s approach to big data management.
