Building an Enterprise Data Lake & Data Refinery for Enterprise Data as a Service 2017 is a workshop dedicated to the business problems caused by poorly managed information.
Building an Enterprise Data Lake & Data Refinery for Enterprise Data as a Service 2017 covers topics such as:
- Organise data in a distributed reservoir (a better name than a data lake), the importance of an information catalog for delivering data-as-a-service, and how data standardisation and business glossaries can help define the data to make sure it is understood
- How to define a strategy for enterprise information management and how to implement it within your organisation
- How to apply methodologies to get master and reference data, big data, data warehouse data and unstructured data under control irrespective of whether it be on-premises or in the cloud
- An operating model for effective information governance, what technologies you need and implementation methodologies to get your data under control
Building an Enterprise Data Lake & Data Refinery for Enterprise Data as a Service 2017 brings together:
- Data Architects
- Chief Data Officers
- Big Data Professionals
- Master Data Management Professionals
- Business Data Analysts doing self-service data integration
- Data Integration Developers
- Database Administrators
- Content Management Professionals
- Compliance Managers who are responsible for data management