Presto Open Source SQL Engine for Massive Scale Data Lakehouses

This course aims to teach learners the following: - Understanding the scalability and flexibility of Presto as an open-source SQL engine for data analytics. - Learning how to query diverse data sources with sub-second performance using standard SQL. - Exploring real-world use cases of Presto at Meta and Uber for running large data platforms. - Demonstrating how to quickly use Presto on AWS for interactive and ad hoc data queries. - Discussing the success of Presto as an open-source project and future enhancements planned for empowering data utilization in organizations. The course teaches skills such as: - Querying data across diverse sources with sub-second performance. - Using standard SQL for interactive and ad hoc data queries. - Understanding the scalability and flexibility of Presto for data analytics. - Demonstrating the use of Presto on AWS for real-time analytics. The teaching method includes reviewing Presto's scalability and flexibility, outlining real-world use cases, demonstrating Presto usage on AWS, and discussing the success and future enhancements of Presto as an open-source project. The intended audience for this course includes data analysts, data engineers, data scientists, and professionals working with large and diverse data sets looking to optimize data queries and analytics performance.