Topics:
Data Architecture,
Data Lake,
Modern Data Platform
For over 15 years, I have been working with small to very large-scale data warehouses and have become quite comfortable with their vernacular and approaches for design, development, and implementation. Over the last few years there has been a shift in the marketplace around the traditional concept of data warehousing. Many organizations’ data warehouses have served them for years, but with general maintenance and the inevitable changes in business, companies are now ready to replace their current technology with an architecture that will meet both current and future data needs. Many of the initial conversations around developing a new, upgraded data warehouse are scoffed at and immediately dismissed. The term “data warehouse” has been somewhat relegated to the “old school” bucket of terms next to “client server”, “host computing” and “structured programming”. Organizations are looking for new, cutting edge data platforms.