Objective: IT Performance and cost-effective solution
A South American-based cell phone and broadband company wanted a more cost-effective and performant business analytics solution.
The client wanted a partner to expedite the migration to GCP. Datametica, along with Google cloud, helped the client seamlessly migrate to the GCP.
Challenges: Support for future data analytics requirements
The client’s existing environment consisted of a Netezza ecosystem that could not support data analytics requirements with capacity running at over 90% and with options to scale.
Solutions: Scalable services for business needs
- Discovery and Analysis of Current Netezza platform using Datametica’s automated Eagle- an automated assessment & data migration planning tool.
- GCP Foundation setup.
- Source system integration with GCP replacing Datastage with native GCP data ingestion technologies such as Pubsub and Dataflow.
- One-time historical data load into GCP.
- Conversion of Datastage workloads to Google-native technologies, using Datametica’s Automated code (SQL, Script) and ETL conversion Service – Raven.
- Setup orchestration and scheduling using GCP Cloud Composer.
- Design and demonstration of restart-ability of data pipelines.
- Data Validation using Datametica’s Automated data validation tool – Pelican technology, between Netezza and Google Cloud Platform.
Client benefits:
- Provided cost-effective solution.
- Access to Google technologies, best practices, and recommendations
- Best of breed Cloud security
- Improvement in operational capabilities and reporting performance