Large Scale Data Migration

MSH helps a leading logistics company with $4B+ in revenue based out of South Florida migrate data warehouse infrastructure to AWS cloud.

Large Scale Data Migration
1000+ Tables & 1200+ Mappings
Loaded By Re-engineering Informatica-based ETL solution
9000
Scheduled and ad hoc reports with data from 10 business-critical enterprise applications
Capital Expenditure & Maintenance Costs
Optimized for timely & relevant infrastructure investments
Data Orchestration Solution
Created along with enabled failure notifications enablement through Amazon SNS alerts

The Challenge

  • Ad hoc technology investments during a period of rapid business growth, lead to dysfunctional IT landscape.
  • Data silos for inventory, demand planning, sales and merchandising, and logistics.
  •  Data warehouse that could not scale up to emerging business needs.
  • Prolonged back-up schedule and frequent hardware failures.

The Solution

  • Cloud-based solution through an ecosystem approach.
  • Deployment of AWS Data Engineers to empower business users with relevant data, and drive advanced data analytics, BI and reporting.
  • Complete migration from on-premise systems to AWS Redshift using the Amazon EMR platform through PySpark.
  • Create Data orchestration solution by leveraging AWS services – Lambda, EMR, data pipeline, and Aurora DB.
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