Explore data lake and data pipelining services in action
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Data ingestion and preparation with Snowflake on Azure
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Building serverless ETL pipelines on AWS
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Self-service ingestion: The key to creating a unified, scalable, cloud data lake
Cloud-native, on-premises, and hybrid architectures
Automated and scalable frameworks
Support for batch and real-time use cases
Operationalized a highly available Azure-based data platform to migrate a legacy system
Learn MoreReal-time business activity monitoring using an all-in-one data pipeline platform
Learn MoreData ingestion and preparation with Snowflake on Azure
Building serverless ETL pipelines on AWS
Self-service ingestion: The key to creating a unified, scalable, cloud data lake
Address your desired use case across critical analytic dimensions
Explore architecture options with experts
Ensure strategic alignment of business and technology
Architect an ideal solution for a pressing problem
Validate new or refactor existing architecture
Develop a prototype with expert guidance
Establish a roadmap to production