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Migrating SAS to a Lakehouse on Databricks and S3

On Demand

Type

  • Session

フォーマット

  • Hybrid

Track

  • Industry and Business Use Cases

Difficulty

  • Beginner

Room

  •  Moscone South | Level 2 | 215

Duration

  • 35 min

概要

SAS is a well known on-premsies statistical software suite that was introduced in 1976. While it is primarily known for advanced statistical analysis and machine learning, 72% of SAS use cases are ETL. The convenience of using SAS for data processing resulted in storing large amounts of data in SAS proprietary data format, growing to drive huge on-prem storage costs. Databricks and AWS have developed a joint solution to enable customers to migrate their SAS data, and SAS workloads, to a cloud lakehouse on Databricks and S3. Learn how you can migrate your proprietary SAS implementation to a cloud lakehouse to experience more accessibility and limitless scale based on an open-source architecture.

Session Speakers

Sri Ghattamaneni

Senior Solutions Architect

Databricks

Rahul Shaw

Manager, AI & Data Engineering

Deloitte Consulting LLP

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