Blog Tags: Data Lake

A Practical Guide to Setting Up Your Data Lakehouse across AWS, Azure, GCP and Snowflake

Explore the evolution from Enterprise Data Warehouses to Data Lakehouses on AWS, Azure, GCP, and Snowflake. This comparative analysis outlines key implementation stages, aiding organizations in leveraging modern, cloud-based Lakehouse setups for enhanced BI and ML operations.

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How to Design your own Data Lake Framework in AWS

Learn how you can efficiently build a Data Lakehouse with Tiger Data Fabric’s reusable framework. We leverage AWS’s native services and open-source tools in a modular, multi-layered architecture. Explore our insights and core principles to tailor a solution for your unique data challenges.

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Unlocking the Potential of Modern Data Lakes: Trends in Data Democratization, Self-Service, and Platform Observability

Learn how self-service management, intelligent data catalogs, and robust observability are transforming data democratization. Walk through the crucial steps and cutting-edge solutions driving modern data platforms towards greater adoption and democratization.

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