Agile and Logical Data Warehousing Best Practices
BI/BA/Big Data Evangelist
As a longtime advocate of using data to make better decision, Joanna Schloss has spent the last 15 years in the data warehouse and business intelligence market launching solutions that provide businesses with better insight. She got her starts as a product manager for a small startup building analytic applications on top of SAP ERP Systems evolving her knowledge with the experience of managing a real-time business analytics monitoring product line at Oracle. She found herself working for all the major business intelligence vendors, always pursuing that elusive solution that will transform the way people analyze data into information. With all this experience, her conviction that businesses can be helped with analytics and warehousing has only grown.
Direct of Product Management
SQL Service Marketing Group, Microsoft
Claude Lorenson works in Product Management in the Cloud OS Marketing group at Microsoft. Lorenson’ function is around the development of the IHVs and OEMs partner eco-system to drive integration of Server and Tools products with new, innovative hardware solutions. Before joining the Enterprise Application Platform team, Lorenson was Director of Storage Evangelism in the Enterprise Storage Division at Microsoft. Before joining Microsoft, Lorenson was the Director of Product Management and Marketing at Emulex Corporation, a leading provider of storage networking technologies where he was responsible for the integration of the Company‘s storage products into various enterprise solutions including the development and the launch of the InSpeedtm brand.
The concept of data warehousing has been around for a long time, but the need for innovation in analytics has put greater emphasis on evolving the traditional concept of a data warehouse. With the advent of small footprint data warehouse in an appliance form factor, the functional use cases for a data warehouse has evolved and organizations are starting to augment their data warehouse strategy to align with a more agile and logical approach. What’s the best way to leverage a data warehouse for your organization? How do you continue driving ROI out of your data warehouse investment? How do you refresh your approach even with existing data warehouses in place?
In this webinar, we’ll discuss why an agile and logical data warehouse strategy makes sense and some of the functional use cases:
- Enterprise Data Warehouse
- Departmental data warehouse
- Hub and spoke
- Agile Data Warehousing (Testing and Development)
Our thought leaders understand the dynamics in today’s analytics environment and can provide real world insight into a data warehouse strategy that makes the most sense for your organization.