Consolidating data using datamarts
It’s automation frees up your team to work on other tasks, and model reuse saves cost and accelerates continued expansion.
Through automation, the entire range of activity in designing, building, and operating a data warehouse can be achieved much faster compared to traditional data warehouse development and implementation methods.
You can consolidate ACM data from the data marts of multiple systems into one location, which enables you to compare system performance and availability across your organization.
Each deployment still retains its own data mart, but the federated data mart enables you to analyze data across deployments.
Typically a data mart is created as a subset of an enterprise data warehouse, in which data replicated from various operational databases across the enterprise is consolidated, cleansed, and transformed into formats optimized for analytic queries.
Key challenges in enterprise data warehousing and data mart creation include designing and building the data warehouse and the data mart, loading source data into the data warehouse and the data mart, keeping the data in the warehouse and the data mart in sync with the continuously changing source database systems, and delivering in an agile way to keep pace with constantly changing business and analytical requirements.