Systems | Development | Analytics | API | Testing

Join host Felipe Hoffa joined by Snowflake Product Manager Samartha Chandrashekar and Developer Advocate Gilberto Hernandez as they discuss best practices and recommendations on cost optimization including getting visibility into cost, warehouse optimization, warehouse utilization, and more.

Highlights ways for developers and administrators to optimize their storage spend in BigQuery.

Highlights for developers and administrators how to optimize compute spend in BigQuery.

Highlights ways for developers and administrators to improve cost and performance of SELECT queries in BigQuery.

Moving operations to the cloud has obvious benefits, but without discipline costs can quickly spiral out of control. In this clip, Raja Musunuru of TIFIN reiterates the importance of understanding usage and the ability to scale. Get even more insights from data and analytics leaders like Raja on The Data Chief.

A new approach to taming cloud data costs Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs. In this session, you will learn how FinOps enabled a consistent view between executives, finance, business, and engineering teams, a comparison of FinOps for DevOps and for DataOps teams, and how AI is enabling new levels of efficiency for modern data stacks with DataFinOps.

Data teams need to be able to set cloud data budgets at a specific scope - and know if your various teams or departments are tracking to those budgets. But today, most data teams only know that the budget was overrun after it’s too late. With Unravel, establishing and tracking budgets to prevent overruns is easy.

Bringing Your Data Cloud Bill Under Control presented by Keith Alsheimer, CMO, Unravel Data at CDAO Fall 2022. During this presentation, Keith shares how the Unravel Data DataOps observability platform helps data teams.