The document discusses a smart data warehouse called Panoply that automates data management. It aims to reduce the inefficiencies and challenges of traditional data warehousing approaches by using machine learning to learn and optimize the data warehouse. Some key points include:
- Panoply aims to reduce the 80% inefficiency of traditional data warehousing approaches.
- It automates processes like data ingestion, extraction, ETL, and infrastructure management to reduce the need for data engineers and administrators.
- The machine learning-powered system is designed to be secure, high performance, low cost, and fully automatic.
- Panoply has grown to over 400 customers since its launch and claims to be the