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Snowflake was founded in 2012 to build a business around its cloud-based data warehouse with built-in data-sharing capabilities. Snowflake has expanded its reach over the years to address data engineering and data science, and long ago moved beyond being seen as just a cloud data warehouse.
Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structureddata. The Central IT team implements datagovernance practices, providing data quality, security, and compliance with established policies.
Administrators can customize Amazon DataZone to use existing AWS resources, enabling Amazon DataZone portal users to have federated access to those AWS services to catalog, share, and subscribe to data, thereby establishing datagovernance across the platform.
Discussions with users showed they were happier to have faster access to data in a simpler way, a more structureddata organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).
Their infrastructure consists of a Redshift data warehouse for structureddata and an S3 data lake for structured and semi-structureddata. Subhasis Sarkar is a Senior Data Engineer with Amazon. Subhasis thrives on solving complex technological challenges with innovative solutions.
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