Videos Archive - PrestoDB

Fireside Chat: Journey to Innovation: Unleashing the Power of Open Source Through Open Governance

The Presto Foundation is the organization that oversees the development of the Presto open source project. Hosted at the Linux Foundation, the Presto Foundation operates under a community governance model with representation from all its members. In this fireside chat, we’ll hear more from Girish Baliga, Chair of the Presto Foundation, on what it actually means to be a Presto Foundation member and why this governance model is so important for open source projects. We’ll also talk with Vikram Murali of IBM, the newest member of the Presto Foundation. He’ll share more about IBM’s journey to Presto, how they’re using it in IBM’s new watsonx.data lakehouse, and why the Presto Foundation played an important role in IBM’s decision to choose Presto.

Parquet Column Level Access Control with Presto

Apache Parquet is the major columnar file storage format used by Apache Presto and several other query engines in many big data analytic frameworks today. In a lot of use cases, a portion of the column data is highly sensitive and must be protected. Column encryption at the file format level is supported in the Parquet community. Due to the rewritten code of Parquet in Presto, Parquet column encryption at Presto needs to be ported with modifications to the Presto code page. And the integration with Key Management Service (KMS) and other query engines like Hive and Spark is another challenge. In this talk, we will show the work we have done for enabling Presto for Parquet column decryption including challenges, solutions, integration with Hive/Spark Parquet column encryption and look forward to the next step of encryption work.

Speed Up Presto Reading with Paquet Column Indexes – Xinli Shang, & Chen Liang, Uber

Data analytic tables in the big data ecosystem are usually large and some of them can reach petabytes in size. Presto as a fast query engine needs to be intelligent to skip reading unnecessary data based on filters. In addition to the existing filtering to skip partitions, files, and row groups, Apache Parquet Column Index provides further filtering to pages, which is the I/O unit for the Parquet data source. In this presentation, we will show the work that we integrated Parquet Column Index to Presto code base, the performance gains, etc. We will also talk about our effort to open-source this project to PrestoDB and look forward to collaborating with the community to merge!