5 Differences Between Static Data Warehouse Design & Agile Data Governance Healthcare organizations have enterprise-wide data sets of which data governance can be time-consuming and labor intensive.

Dimensional modeling is the proven technique for designing comprehensive, high-performance data ware- house systems. Agile dimensional modeling is done iteratively, incrementally, and collaboratively.

Implementing Agile in Data Warehouse Projects Apr 14, 2015 2 min read by Savita Pahuja An Agile Coach, Trainer, Visionary Blogger, Speaker. Follow Like ...

Coinstar has used WhereScape’s Agile development environment to successfully deploy two major phased releases of its new Microsoft SQL Server corporate data warehouse.

SAN FRANCISCO, CA-- (Marketwired - Jun 25, 2014) - Today GoodData announced its agile data warehousing service to power greater performance, scalability and flexibility within its Open Analytics ...

Enterprises choose data warehousing solutions to discover data-driven opportunities, Bearman said. It’s time to rework the data warehouse architecture format. Must-haves include: Real-time updates: ...

They help companies rapidly build their EDW using Agile, Data Warehouse Automation, Cloud Platforms, and the Data Vault 2.0 system of Business Intelligence.

Sevatec, Inc. (Sevatec), a leading National Security firm delivering Agile Development and DevOps, Data Sciences, Cyber Engineering, and Cloud solutio ...