Vinoo Ganesh

This week on The Data Stack Show, Eric and Kostas chat with Vinoo Ganesh. During the episode, Vinoo discusses how to benchmark cost, optimize your workloads, and Bluesky’s role in addressing your Snowflake bills. Video Link https://datastackshow.com/podcast/optimizing-query-workloads-and-your-snowflake-bill-with-vinoo-ganesh-of-bluesky-data/

Data is the most valuable resource in the world and more prized than oil, The Economist declared in 2017. Today, at least 97% of organizations use data to power their business opportunities, and we are accumulating data at a rate never before seen in history. The big question then is how do we secure and ensure that we can make optimal use of all this data? Link https://www.horangi.com/blog/s3-buckets-permissions-and-iam-audits

O’Reilly Radar: Data & AI will showcase what’s new, what’s important, and what’s coming in the field. It includes two keynotes and two concurrent three-hour tracks—designed to lay out for tech leaders the issues, tools, and best practices that are critical to an organization at any step of their data and AI journey. You’ll explore everything from prototyping and pipelines to deployment and DevOps to responsible and ethical AI. Link https://www.

Databricks Sr. Staff Developer Advocate, Denny Lee, Citadel Head of Business Engineering, Vinoo Ganesh, and Databand.ai Co-Founder & CEO, Josh Benamram, discuss the complexities and business necessity of setting clear data service-level agreements (SLAs). They share their experiences around the importance of contractual expectations and why data delivery success criteria are prone to disguise failures as success in spite of our best intentions. Denny, Vinoo, and Josh challenge businesses of all industries to see themselves as data companies by driving home a costly reality – what do businesses have to lose when their data is wrong?

I work at a data-as-a-service (DaaS) company that delivers PBs of geospatial data to customers across a variety of industries. We build and manage a central data lake, housing years of data, and operationalize that data to solve our customers’ problems. I recently gave a talk about the specifics of file formats at Spark+AI Summit 2020 that generated a lot of questions about my company’s migration from CSV to Apache Parquet.