Data warehouses have been with us for decades and have come a long way since their inception in the 1980s. While legacy data warehousing projects may have gotten a bad rep for becoming giant behemoths with challenges in budget, scope and delivery, a modern warehouse is much more light-weight, easier to setup, requires less upfront investment and provides a more worry-free iterative path to success.
Taking a data warehouse to the cloud lowers the barrier of entry and enables organizations to support growing complexities and volumes of data with a much more linear, pay-as-you-go growth model. Nonetheless, each data warehouse initiative still requires proper architecture, planning, implementation and tooling as well as ongoing operational support.
Watch this webinar to see how you can modernize your data warehouse:
- Architecture of a cloud data warehouse
- Building modern hybrid ETL data pipelines, on-prem and cloud data
- Embedding data quality, avoiding “Garbage In, Garbage Out”
- Operations and maintenance
- Cost management
- Migrating existing warehouse to cloud
Calvin Cortez works with customers to introduce CloverDX, prototype rapid solutions to meet different use cases, and solve specific client data problems.
CloverDX has been working at the coalface of data challenges since 2007. We’ve worked with companies large and small around the world, in industries such as finance, healthcare and consulting, to help them build and manage better data pipelines and deliver better data outcomes.