The growing hype surrounding the idea of a data lake (or data refinery) to enhance the data warehousing environment and to support big data is creating significant confusion in the marketplace. The main idea of a data lake is to act as a data landing area for the raw data from the many, and ever increasing number of, data sources in organizations. The data can then be transformed and distributed to downstream systems as required. While there is no question that a data lake approach can reduce data silos and help support big data initiatives, there is confusion about the how to design and deploy a data lake, the types of data that can be managed there, and how to govern and secure this data. The objective of this Webinar is to reduce this confusion by addressing three key questions:
SAP and Intel
Individual, Student, & Team memberships available.