Data warehousing on AWS: Amazon Redshift use cases and deployment patterns (Level 200)

July 3, 2020
The amount of data generated by IoT, smart devices, cloud applications, and social is growing exponentially. You need ways to easily and cost-effectively analyze all of this data with minimal time-to-insight, regardless of the format or where the data is stored. Amazon Redshift powers the lake house architecture – enabling you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights. In this session, we explain and share some of the latest patterns and use cases leveraging Redshift's Lake house architecture. With a lake house architecture, you can store data in open file formats in your Amazon S3 data lake. This allows you to make this data available easily to other analytics and machine learning tools rather than locking it in a new silo. Walk away knowing how to turn data into insights in Amazon Redshift data warehouse and Amazon S3 data lake at the best performance and lowest cost. Speaker: Anna Coniglio, Data Warehouse Solutions Architect, AWS
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