10x Improvement in Performance by Moving to GCP

By September 18, 2023Google Cloud
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Objective:  Retire Legacy Data Warehouse by Moving to the GCP to Enhance Operational Performance

Datametica’s customer, a manufacturer and retailer of products across multiple categories, sought to modernize their legacy data warehouse, Teradata. To achieve this, they planned to employ Google Cloud Platform, along with BigQuery, Cloud Composer, and Dataflow.

The aim of this initiative was to:

  • Modernize legacy on-prem Teradata Data warehouse to Google Cloud Platform.
  • Convert all the Teradata workloads (DDLs, UDFs, BTEQs, etc.) to the Google Cloud Platform – BigQuery.
  • Convert the existing Informatica ETL workflows and mapping to GCP native technologies.
  • Boost operational performance and achieve scalability.
Datametica Solutions Pvt. Ltd | 10x Improvement in Performance by Moving to GCP
Datametica Solutions Pvt. Ltd | 10x Improvement in Performance by Moving to GCP

Challenges: Performance and Time-Related Issues

The client had low performance while running data on on-premises Teradata and Informatica ETL. To address this and improve their cost management, analytical reporting, and build real-time use cases, the client decided to leverage GCP native technologies.

Solutions:  Design GCP Future State Architecture

Datametica helped the client modernize their current environment to GCP faster by using automated migration technologies (BIRDS), accelerators, and blueprints. The Informatica workflows, mappings, mapplets, etc. were transformed to GCP native technologies.

  • Used Eagle for Assessment, Raven for Code Conversion and Pelican for data validation
  • To meet strategic Infrastructure needs  of the client we created a new Architecture & GCP foundation implementation from scratch
  • Designed and Implemented Core Foundation Components
    • Org Hierarchy, VPC, Firewalls and Routing, DNS, Interconnect, Security Command Center Standard, IAM, Cloud Identity integration, VPC Service Control, Cloud Operations and Billing Management.
  • Designed and Implemented Application Specific components
    • Composer, Dataflow, BigQuery, Compute Engine, Cloud Build, Cloud Source Repositories and Secret Manager
  • Implemented IAC (Infrastructure as Code) using Terraform and Google Terraform Modules.
  • Built Infrastructure automation using GCP Cloud Build  and Terraform.

Client Benefits: Faster Cloud Migration, Optimized Performance, and Time with Unlocked Futuristic Capabilities

  • 90% reduction in cube refresh time
  • 45% faster migration to the cloud than traditional methods
  • 40% saving in Infrastructure costs and reduced associated business risks.
  • 100% accurate validation of historical and incremental data

DM Product Used

Datametica Solutions Pvt. Ltd | 10x Improvement in Performance by Moving to GCP

GCP Product Used

Datametica Solutions Pvt. Ltd | 10x Improvement in Performance by Moving to GCP

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