Remove 2012 Remove Data Governance Remove Structured Data
article thumbnail

Snowflake Offers a Platform for AI as well as Data

David Menninger's Analyst Perspectives

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.

article thumbnail

Seamless integration of data lake and data warehouse using Amazon Redshift Spectrum and Amazon DataZone

AWS Big Data

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-structured data. The Central IT team implements data governance practices, providing data quality, security, and compliance with established policies.

Data Lake 122
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Amazon DataZone announces custom blueprints for AWS services

AWS Big Data

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 data governance across the platform.

Data Lake 119
article thumbnail

Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data 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).

article thumbnail

Configure cross-account access of Amazon SageMaker Lakehouse multi-catalog tables using AWS Glue 5.0 Spark

AWS Big Data

Their infrastructure consists of a Redshift data warehouse for structured data and an S3 data lake for structured and semi-structured data. Subhasis Sarkar is a Senior Data Engineer with Amazon. Subhasis thrives on solving complex technological challenges with innovative solutions.