Modernizing Microsoft Workloads on AWS:

Managing data at scale within a monolithic architecture poses challenges for organizations aiming to modernize. When databases with differing scaling needs — like ledger-style systems, high-transaction accounts, and reporting stores — share infrastructure, performance bottlenecks and governance issues arise. This webcast explores how a financial data services firm tackled these issues by adopting a cloud-based data lake. Topics include: Centralizing siloed data sources in a unified data lake Migrating and replicating data with ETL workflows Enabling near-real-time streaming for advanced analytics Watch the full webcast for a detailed technical walkthrough.

Modernizing Microsoft Workloads on AWS: L

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