Legacy data warehouses are costly to maintain, unscalable and cannot deliver on data science, ML and real-time analytics use cases. Migrating from your enterprise data warehouse to Databricks lets you scale as your business needs grow and accelerate innovation by running all your data, analytics and AI workloads on a single unified data platform.
The case for modernizing your enterprise data warehouse
Enterprise data warehouses have traditionally supported only historical reporting — with no support for forward-looking prescriptive and predictive analytics. They also cannot handle semi-structured, unstructured or real-time data and are not set up for advanced analytics use cases that data science teams need to drive ML and AI–powered innovations. If that wasn’t enough, EDWs store data in closed proprietary formats, impose rigid vendor lock-ins and are prohibitively expensive to scale.
Read this TDWI report on how you can overcome these challenges by transitioning from a data warehouse to a data lakehouse.