Data platform modernization is imperative for innovation and digital transformation across industries in today’s data-driven world. However, as data volume, velocity, and complexity increase, traditional data warehousing solutions often fail to store, manage, and process data from multiple sources at scale to meet the demands of advanced analytics.
Databricks Lakehouse is a popular choice for legacy platform modernization. It combines the best elements of a data warehouse and data lake and eliminates data silos to deliver reliability, strong governance, high performance, and flexibility. The Databricks Lakehouse Platform also supports business intelligence (BI) tools, enabling users to connect to the platform and quickly access, analyze, and visualize their data.
However, modernizing legacy platforms with zero business disruption is challenging for many enterprises. This blog details how ADP partnered with Impetus, the data platform modernization experts, to migrate one of their Oracle applications to their established Databricks Lakehouse.