Name: Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake
Start: 15/11/2024 04:00 AM +00:00
End: 15/11/2024 05:00 AM +00:00
Location: Hubilo

80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures.
Learn how to get granular costs with ease using Unravel Data. Join this Weekly Walkthrough series, FinOps Metrics that Matter, to understand the critical benefits of drilling down into your costs at the most detailed levels.
Streamline your approach to cloud cost management and data operations with Unravel. &nbsp;Move beyond mere observation to take immediate, impactful action for transformative results.
Watch now to take the first step towards mastering data actionability and FinOps for your organization.
Join Solutions Engineer Hal Sriver for this 30-minute recorded session to help you and your team:
&bull; Pinpoint cost challenges: Understand why achieving a micro-level understanding of cloud expenses is essential yet challenging, hindering effective financial planning and resource allocation.
&bull; Break down barriers: Delve into the pain points of data being inaccessible in silos and the limitations it imposes on your ability to manage and forecast costs effectively.
&bull; See Unravel in action: Explore how Unravel's innovative approach accelerates the breakdown of costs, transforming complex data into actionable insights with unparalleled ease and precision.

Miguel Mendez

Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake

Marissa Mendez

Primary Theme A

English

America/Los_Angeles

I agree to the <a href="https://legal.hubilo.com/terms/29193" target="_blank">Terms and Conditions</a> and <a href="https://legal.hubilo.com/privacy/29193" target="_blank">Privacy Policy</a>.