Hadoop and Teradata to Azure Synapse – Cloud Migration Case Study
Automation simplified and accelerated the Hadoop and Teradata to Azure Synapse migration for an international retailer
Transitioning from Hadoop and Teradata to Azure Synapse allowed an international retailer to modernize data workflows and enhance analytics performance:
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Optimized Data Footprint: Automation removed 27% redundant data from Hadoop, Teradata, and ETL sources, streamlining Azure Synapse deployment.
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Fully Automated Translation: All SQL, procedures, and ETL workflows from DataStage and Talend migrated to Synapse in 8 weeks, achieving 100% accuracy.
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52% Faster Deployment: Automated migration completed in nearly half the time, driving quicker analytics adoption.
Download the case study: See how a global retailer accelerated cloud adoption by moving from Hadoop and Teradata to Azure Synapse.

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Fast, Accurate and Smooth Migration to Cloud
End-to-End Migration Planning & Architecture in Just a Few Weeks
Simplify your migration planning by letting automation show you what’s in your legacy EDW, Data Lake and ETL pipelines, what to migrate, and where to start.
Translate your Legacy EDW, Data Lake and ETL code with 100% Coverage
Automatically translate your legacy code to Google Cloud Platform’s T-SQL syntax, including SQL, Stored Procs, ETLs, and other complex code types.
Optimize and Performance-Tune Workloads for Smoother Cut-Over
Automatically test, validate and optimize translated workloads and performance tune to get your business consuming from Azure fast.