End-of-life appliances and heavy ETL estates are a strong case for moving. Our team knows both sides.
Modernizing IBM Netezza, Db2 Warehouse and DataStage to Databricks replaces end-of-life appliances and hard-to-change ETL. Convert SQL and procedures, rebuild DataStage jobs as tested pipelines, reconcile with business owners, then retire the appliance. Most teams move in waves by business domain, starting with the reports that cost the most to run.
Many banks, insurers and governments still run core analytics on IBM Netezza or Db2 Warehouse, with DataStage for ETL. These platforms served them well for years.
Our leadership comes from IBM data and AI architecture. We understand how these systems were built, which makes the migration faster and safer.
With data on Databricks, teams can add document AI, Genie and agents without another platform project.
NeuralShore Engineering, Databricks delivery team
Databricks architects, data engineers and AI engineers at NeuralShore, DLytica’s Databricks delivery company. Leadership comes from IBM data and AI architecture.
Appliances reach end of life, renewals are costly, and modern AI needs an open platform.
They are rebuilt as tested, version-controlled pipelines on Databricks.
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 →
