Abstract
In a rapidly changing business oriented economy, Business Intelligence solutions have to become more agile. This paper attempts to compare and contrast between Agile BI and Agile DW based on different analytical Agile driven technologies. Agile software development is a set of principles and practices that was influenced by practitioners of Extreme Programming, SCRUM, DSDM, Adaptive Software Development and others. It was driven out of the need for an alternative to documentation driven, heavyweight software development processes. Agile development processes can take a lot of pain out of building data warehouses and enable project teams to deliver functionality, and business value, on a rolling basis. Rapidly gaining in popularity, the Agile approach to data warehousing solves many of the thorny problems typically associated with data warehouse development most notably high costs, low user adoption, ever-changing business requirements and the inability to rapidly adapt as business conditions change. The Agile approach can be used to develop any analytical database, the two mechanisms that uses agile approach are Data Warehouse and Business Intelligence. Also, this paper briefly looks at technologies that can be used for enabling an agile BI solution.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
