Above the Clouds

🎙️ About Vinoth and Onehouse
Vinoth's career trajectory has been nothing short of remarkable, and we'll explore the pivotal moments that led him to create Onehouse, a cutting-edge platform. Learn about the company's mission, vision, and the driving force behind their success.
📈 Embracing Challenges and Growth
Vinoth shares his personal experiences of overcoming challenges that shaped him as a leader. Find inspiration in his journey and discover the invaluable lessons he learned along the way.
🔍 Unraveling the Value of Hudi
Hudi is a renowned entity in the industry, and we'll gain insights into its significance from Vinoth's unique perspective. Understand why Hudi has made such a substantial impact and its role in transforming the landscape.
💡Onehouse's Distinctive Value Proposition
While Hudi might be well-established, Onehouse has carved its own niche in the market. Explore the features that set Onehouse apart and the benefits it offers to professionals and businesses alike.

In this episode. Mingsheng Hong, Co-Founder and CEO of Bluesky Data sat down with Justin Borgman, Co-Founder, and CEO of Starburst, to share insights into data infra and its ecosystem, the founding stories of Bluesky and Starburst, as well as lessons learned from their entrepreneurial journeys.
1:37 Justin’s secrets in pursuing the entrepreneurial path
7:26 Justin’s retrospectives on Hadapt, profit market fit, and bootstrapping Starburst
12:50 Justin’s advice to founders in a down market
16:10 The need for high ROI and Bluesky’s mission
21:38 I wonder what that engine might be?
22:06 Bluesky’s future product roadmap discussion
24:21 Benefits of data eng having more workload/business knowledge, and the data mesh movement
27:28 The need for ETL or ELT?
29:45 The benefits of rapid prototyping
30:55 Starburst’s query resilience support
34:05 Challenges in different startup states
37:08 Authenticity, radical transparency and trust as a key culture value
38:13 A bold claim about the future

If you are watching the Dataengineering subreddit, you’ll see many users complaining about the increasing costs of cloud data warehouses. It’s no surprise that when enterprises use data more frequently, they end up paying more and more to the modern data cloud providers. In today’s environment, it's critical to empower data engineers to see the cost impact of their work.

Lauren Balik, data wrangler and Founder of Upright Analytics and Mingsheng discuss how modern data technologies with consumption-based pricing are driving up costs and then offer a better way to install cost guardrails while optimizing workload performance and cost governance.

Topics covered in this podcast include:

• ETL vs. ELT
• The spreading human middleware problem
• Shifting cloud costs left
• Measuring DW efficiency
• Workload optimization
• FinOps

Bob Muglia is a software executive who's well known as the CEO that took Snowflake from a promising application to today's leading data cloud company. In this episode, Bob chats with Mingsheng about his journey at Snowflake, what he did to get to product market fit, the migration from on-prem to cloud data solutions, and a rising focus on cost efficiency.
00:00 Introducing Bob Muglia, former CEO of Snowflake
00:38 War stories along the Snowflake journey
05:56 Getting the Snowflake consumption model right
09:01 Snowflake's journey toward PMF (Product Market Fit)
12:28 Advice for early-stage CEOs
16:44 On-prem vs.Data Cloud: ROI
18:55 Emerging focus on cost efficiency
24:33 On-prem vs. Data Cloud: data processing
32:37 Data modeling challenges
36:36 Knowledge graph and business learning
47:57 Exciting times in the modern data stack
51:35 Exploring the complexity of the modern data stack
To learn more about cost efficiency: https://www.getbluesky.io/