A Git-like Repository for your Data Lake – Vinodhini Sivakami Duraisamy, Treeverse

A Git-like Repository for your Data Lake – Vinodhini Sivakami Duraisamy, Treeverse

A Git-like Repository for your Data Lake – Vinodhini Sivakami Duraisamy, Treeverse We tend to adopt practices that improve the flexibility of development and the velocity of code deployment, but how confident are we that the complex data system is safe once it arrives in production? We must be able to experiment in production and automate actions while minimizing customer pain and reducing damage to code and data. If your product’s value is derived from data in the shape of analytics or machine learning, losing it, or having corrupted data, can easily translate into pain. In this session, you will discover how chaos engineering principles apply to distributed data systems and the tools that enable us to make our data workloads more resilient. 

Presto at Meta: A Guide to Tuning Clusters at Enormous Scale

Presto at Meta: A Guide to Tuning Clusters at Enormous Scale

Facebook operates Presto at an enormous scale. A critical part of the success of Presto is properly tuning the clusters according to the use case they target. Swapnil Tailor, Basar Onat and Tim Meehan describe important session properties and configuration properties used to configure Presto, and guidance on when and how to use them.