In recent years, there’s been intense debate about how (or whether) the principles of Agile development can/should be applied to data management work (including data modeling and database development). Now the Agile debate has shifted to BI development, raising questions of whether an incremental approach can be applied to enterprise-wide data work.
Larry Burns, author of Building the Agile Database, has been in the vanguard of Agile Data for over a decade. In his current role as Data and BI Architect for a global Fortune 500 company, he is also applying Agile principles to the development of his company’s BI architecture. In this workshop, Larry will be providing answers to the questions that all Data and BI professionals have about Agile, including:
What is Agile (hint: you might think you know, but you’re probably wrong), and why is it important?
What are the implications of Agile to IT projects, including Data and BI development?
What is the relationship of Agile to Enterprise Architecture (e.g., the Zachman Framework)?
What is the impact of Agile on architecture and design? On data quality?
How can Agile principles be applied to Data and BI initiatives?
How can data modeling and database design be done in an Agile manner?
How can patterns be used in an Agile approach to Data and BI development?
How can data virtualization help achieve data agility?