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Azure Datalake
Customer Success Story: Building a High-Performance Azure Data Lake on ADLS Gen2 for Reynolds
Challenge:
A leading enterprise needed a cost-effective, scalable, and secure data lake solution on Azure Data Lake Storage Gen2 (ADLS Gen2). Their existing infrastructure struggled with high compute costs, slow data ingestion, and complex transformation processes.
Solution Delivered by BryteFlow:
✅ Real-time, no-code data ingestion from SAP, Oracle, SQL Server, Postgres, and MySQL.
✅ Low-impact Change Data Capture (CDC) for continuous data sync with minimal source load.
✅ Automated data transformation & partitioning using Parquet-snappy compression.
✅ High-speed bulk loading via parallel, multi-threaded processing.
✅ Ultra-fast replication – achieved 1M+ rows in 30 seconds, outperforming traditional ETL tools by 6x.
Business Impact:
🚀 Reduced cloud compute costs with efficient data movement & storage optimization.
🚀 Faster analytics & decision-making with instant access to ready-to-use data.
🚀 Seamless scalability to handle growing data volumes & workloads.
🚀 Improved security & compliance with Azure’s built-in cloud security features.
With BryteFlow, the customer successfully built a next-gen Azure Data Lake on ADLS Gen2, transforming their data landscape with speed, efficiency, and zero manual coding.
Published:
January 10, 2020
Category:
Design / Development
Client:
Reynolds
