Standardizing FMCG Operations with the MLOps best practices Across Multiple Cloud Platforms
Streamlining Data Operations with a Metadata-Driven Data Lakehouse on Azure
MLOps platform for scaling deep learning model training and inferencing.
Centralized GCP MLOps Platform for Cost Efficiency and Streamlined Development
The customer’s objective was to overcome data silos and construct a unified Datalake that serves as a reliable and authoritative source of data for campaigns and planning. The desired solution needed to be cost-effective, secure, and dependable, while adhering to data stewardship standards. The client had high expectations for seamless integration with multiple third-party data vendors and the implementation of scalable, fully-managed ETL solutions available through the Google Cloud Platform.
Data migration to Google Cloud BigQuery and ensured the seamless operation of data for Leader in e-commerce platform
Migrating data pipelines and database structures from Cloudera to GCP services for a global leader in Consumer Packaged Goods industry
Migration to Google Cloud Platform resulted in cost savings for a global leader in Consumer Packaged Goods industry.
Providing a Data Platform solution for a global leader in CPG industry to enable a holistic view of each customer in near real-time.
The customer’s objective was to overcome data silos and construct a unified Datalake that serves as a reliable and authoritative source of data for campaigns and planning. The desired solution needed to be cost-effective, secure, and dependable, while adhering to data stewardship standards. The client had high expectations for seamless integration with multiple third-party data vendors and the implementation of scalable, fully-managed ETL solutions available through the Google Cloud Platform.