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Data Builders
Liran Yogev and Doron Porat
14 episodes
1 day ago
We are best friends, we've been co workers for years, and now we're co-founders! But most of all, we love talking about data. Mostly metadata, and data infrastructure even more. Join us as we talk to data professionals, data vendors, and crazy enthusiasts like us to praise, diss and blab about data.
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Technology
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All content for Data Builders is the property of Liran Yogev and Doron Porat and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
We are best friends, we've been co workers for years, and now we're co-founders! But most of all, we love talking about data. Mostly metadata, and data infrastructure even more. Join us as we talk to data professionals, data vendors, and crazy enthusiasts like us to praise, diss and blab about data.
Show more...
Technology
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07 - Upsolver (Qlik) - Roy Hasson
Data Builders
57 minutes 3 seconds
8 months ago
07 - Upsolver (Qlik) - Roy Hasson

In this episode, we had the pleasure of diving deep into the realms of Iceberg and general data trends with one of the most insightful voices in data today - Roy Hasson. As an AWS veteran who helped develop many of the cloud's core services we rely on, Roy has spent the past 3+ years leading product for Upsolver, which was recently acquired by Qlik, a leading data analytics and business intelligence software company.

If Roy's name rings a bell, you already know this episode is worth your time. If not, tune in to get his perspective on what's genuinely transformative in data today versus what's just hype. Either way, you're encouraged to follow him at https://www.linkedin.com/in/royhasson/ for more of his expert insights.

Data Builders
We are best friends, we've been co workers for years, and now we're co-founders! But most of all, we love talking about data. Mostly metadata, and data infrastructure even more. Join us as we talk to data professionals, data vendors, and crazy enthusiasts like us to praise, diss and blab about data.