Community Newsletter
For Presto
July 2022 | Content Curated by Ahana
PrestoCon Day is tomorrow!
PrestoCon Day is coming up next month and Register for this free, virtual open source event built for the Presto community by the Presto Community. See the full agenda here.
There will be sessions from Uber, Tencent, Meta, Bytedance, Blinkit, Apache Hudi and many more. You’ll learn more about the open source Presto project and how companies of all sizes are using Presto for fast and reliable SQL on data analytics and the open lakehouse.
Apache Hudi creator Vinoth Chandar and Hudi Software Engineer Ethan Guo present on how to optimize table layout using Apache Hudi to unlock stellar Presto performance.
| Blog: Faster Presto Queries with Parquet Page Index Check out this blog from Uber on Parquet Page Index, a new Presto capability that speeds up queries by filtering unnecessary Parquet pages into column chunks. Presto Query AnalyzerWith this free tool you will get instant insights into your Presto clusters including query performance, bandwidth bottlenecks, and more to ensure you are getting the best performance. |
We’re thrilled to share our latest Presto release of Presto 0.273.3 Highlights include:
- New Presto connector for Clickhouse
- Hive insert overwrite when using S3 storage
- Pinot driver change to support full TLS in gRPC
- Support timely invalidation of parquet metadata cache
- Support for Iceberg 0.13.1
| New Whitepaper: The SQL Data Lakehouse and Foundations for the New Data StackIn this guide we dive deeper into how data-driven businesses respond to the challenges surrounding the current data warehouse and how to design a data stack that will also be able to scale to the requirements of tomorrow. |
| The 2022 SaaS Awards named Ahana as a finalist for Best SaaS Newcomer and Best Innovation in a SaaS product on the 2022 shortlist. |
| Have you tried Ahana’s free-forever Community Edition? The new community edition is built for those who want to learn and validate the value of Presto for the Open Data Lakehouse in AWS. |
