Ending DAG Distress: Building Self-Orchestrating Pipelines for Presto – Roy Hasson, Upsolver
Ending DAG Distress: Building Self-Orchestrating Pipelines for Presto – Roy Hasson, Upsolver dbt and Airflow is a popular combination for creating and scheduling batch data modeling and transformation jobs that execute in a data warehouse like Snowflake. Presto users querying the data lake need a similar solution that is simple to use and makes it easy to ingest, model, transform and maintain datasets, without having to write or manage complex DAGs. In this session you will learn how Upsolver built a tool that allows engineers, developers and analysts to write data pipelines using SQL. Pipelines are automatically orchestrated, are data-aware and maintain a consistent data contract between each stage of the pipeline. You will also learn how to introduce the idea of data products into your company to enable more self-service for your Presto users.
Building the Presto Open Source Community – Ahana Round Table
In this round table moderated by Eric Kavanagh of The Bloor Group, panelists from Uber, Facebook, Ahana, and Alibaba will discuss all aspects of building a thriving open source community around PrestoDB including why Presto is so popular & the problems it solves, the open source model the foundation follows, why governance and transparency are so important to an open source community, and what the community looks for in open source projects.
The Data Lake House: Powering Open Architecture in the Cloud – Ori Rafael, Upsolver
Ori Rafael, Co-founder and CEO of Upsolver, will present the Cloud Lake House as the foundation of an open data lake architecture built on Apache Parquet. Ori will explain how this architecture supports diverse analytic consumers and use cases, from open-source Presto to proprietary data warehouses.