Bilvantis

Migrate enterprise data warehouse to gcp

What were the Drivers?

  • Teradata License.
  • Informatica PowerCenter End of Date.
  • Slow Data Processing
  • Flexibility over integration of new Technology.
  • Reduce overall Infrastructure cost.

Engagements

One of the top US Stockbroker looking to migrate the current Analytics platform to Google Cloud and Informatica Cloud from their On-Prem Solution using Teradata, Informatica PowerCenter. The Migration Helps Client saving millions in terms of license and platform cost.

Approach

  • Access The Informatica PowerCenter code using Informatica Corporation, Migrate the code to Informatica Cloud.
  • Access the objects using Datametica to convert code from Teradata to Big Query, Migrate the Code and Data to Big Query.
  • Divide the migration into Phases based on objects dependency(Lineage).
  • Test each pipeline output against On Prem results continuously for 3 success executions.
  • Test against live production data in UAT, Upon Results look good migrate to production.

Benefits

  • Flexible Environment.
  • Increased Data Availability.
  • Easy to Integrate with External Data
  • Cost Effective.
  • AI/ML Integration.
  • Turn Around time for reporting needs.
  • Dependency on Informatica PowerCenter is brought down because of end of life.
  • Teradata License cost.

Tools

  • Google Cloud – Big Query, Cloud Storage, Composer, Compute Engine, Data Catalog, DataProc, Data Transfer Service.
  • Informatica – Cloud Data Integration, Migration Utility, Informatica Support.
  • Datametica – Teradata to Big Query Migration Service.