Hadoop clusters are expensive to keep alive and hard to staff. Here is how to move without breaking the reports that depend on them.
Read the article: Leaving Hadoop: a step-by-step path to Databricks →You do not have to leave AWS to simplify your data platform. Consolidate several services into one governed lakehouse.
Read the article: From Redshift, EMR and Glue to Databricks on AWS →Run Databricks on Google Cloud next to your data, and bring analytics, engineering and ML onto one platform.
Read the article: BigQuery and Dataproc to Databricks on Google Cloud →End-of-life appliances and heavy ETL estates are a strong case for moving. Our team knows both sides.
Read the article: IBM Netezza, Db2 and DataStage: modernizing to Databricks →Capacity-bound warehouses cost the most at peak. Elastic compute on the lakehouse changes the economics.
Read the article: Teradata, Oracle and SQL Server: replacing the legacy warehouse →A migration is approved on value, not technology. Here is how to build a case your CFO will sign.
Read the article: Building the business case for a Databricks migration →
