Unlock the Power of Your Data with Teradata VantageCloud Lake and ClearScape Analytics on AWS | S02 E35 | Lets Talk About Data
In this show we explore how native in-database functions work for data exploration, feature engineering, intuitive workflows and learn how users of any skill level can drive better business decisions through data-driven guidance and transformative use cases.
Prasad Matkar
Amazon Employee
Published Oct 4, 2024
Last Modified Nov 7, 2024
In this Twitch show, the guests Robert and Doug discuss how Teradata VantageCloud Lake and ClearScape Analytics on AWS can enable rapid and scalable data insights, even for massive datasets. They explore Teradata's approach to data management, including its parallel processing capabilities, in-database functions for data exploration and feature engineering, and intuitive workflows that allow data scientists to leverage their preferred tools and environments within the Teradata ecosystem. The discussion covers Teradata's flexibility in integrating with cloud services, support for open table formats, and how the platform can help organizations across various industries drive business outcomes and gain competitive advantage through data-driven insights.
Key Highlights:
- Teradata's architecture allows for auto-scaling and separating compute from storage enabling users to scale resources up or down as needed.
- The platform provides over 180 in-database AI and machine learning functions, allowing users to run advanced analytics directly within the database without having to move data.
- Teradata offers custom, isolated user environments that allow data scientists to use their preferred tools and packages, with the ability to manage and version these environments.
- Successful use cases span industries, including fraud detection in finance, supply chain optimization in retail, production process improvements in manufacturing, and predictive maintenance in automotive.
- Teradata's approach supports a federated analytics model, allowing different business units within an organization to have dedicated compute resources for their specific analytical needs.
- The platform integrates with cloud services like AWS Glue and Amazon SageMaker, enabling a hybrid and multi-cloud approach to data and analytics.
Check out the recording here:
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Prasad Matkar - Database Specialist SA @ AWS
Robbert Naastepad - Director Solution Engineer and Data Architect. Teradata Evangelist
Doug Mbaya - Senior Partner Solutions Architect @ AWS
- Unification of analytics- https://aws.amazon.com/blogs/apn/connecting-teradata-vantage-to-amazon-athena/
- Clearscape analytics datasheet - https://www.teradata.com/resources/datasheets/introducing-clearscape-analytics-flyer
- Faster insights with in-database analytics - https://www.teradata.com/events/get-better-faster-insights-with-in-database
- Teradata VantageCloud Analytic Schema - https://www.teradata.com/insights/brochures/retail-analytic-schemas
- Prepare and load Amazon S3 data into Teradata using AWS Glue through its native connector for Teradata Vantage - https://aws.amazon.com/blogs/big-data/prepare-and-load-amazon-s3-data-into-teradata-using-aws-glue-through-its-native-connector-for-teradata-vantage/
- Migration on-premises to cloud - https://docs.aws.amazon.com/prescriptive-guidance/latest/migration-teradata-vantagecloud-aws/welcome.html
- General link to a free demo environment: https://clearscape.teradata.com
Check out Past Shows
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Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.