5 • 4 Ratings
🗓️ 27 January 2025
⏱️ 41 minutes
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Revolutionizing Data Warehousing on Kubernetes with Mark Cusack, CTO of Yellowbrick
Discover how Yellowbrick’s Kubernetes-powered SQL data platform is transforming enterprise data management. Mark Cusack discusses their hybrid and multi-cloud capabilities, real-time analytics, and AI integration, highlighting advantages over competitors like Snowflake and Redshift. Learn about their journey from on-premises appliances to a cloud-native architecture and the introduction of their free Community Edition.
Uncover how their Kubernetes-powered platform is revolutionizing the data warehousing space.
Key Topics:
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| 0:00.0 | As data continues to shape our world, the importance of data warehouses will continue to grow. |
| 0:05.1 | Imagine a data warehouse that scales effortlessly, runs faster and keeps your data secure, |
| 0:11.0 | all while offering real-time insights. |
| 0:13.1 | In this episode of Great Things with Great Tech, I'm joined with Mark Kusak, |
| 0:17.2 | CTO of Yellow Brick Data. |
| 0:18.9 | We'll explore how Yellow Brick's Kubernetes power platform is revolutionizing data warehousing |
| 0:24.7 | with hybrid and multi-cloud capabilities, high performance and complete control of your data. |
| 0:31.7 | If you're looking for a more efficient way to manage your data, this conversation is for you. |
| 0:36.2 | This is episode 94 of Great Things with Great Tech with Mark Kusack of Yellow Brick. |
| 0:58.6 | Well, welcome Mark Kusak, CTO of Yellow Bricks. |
| 1:03.6 | So Mark, just before we get into a bit of your background in Yellow Brick, what is a data warehouse? |
| 1:04.4 | Let's explain that first because I think in today's day and age data is so critical, so important |
| 1:09.2 | and definitely this notion of storing data in a place where you can do more stuff with it is |
| 1:15.8 | obviously what companies are looking for. |
| 1:18.0 | So how does data warehousing fit into that? |
| 1:21.2 | Yeah. |
| 1:21.5 | So data warehouse is a centralized repository where lots of data from operational systems all over your business, |
| 1:29.8 | this could be supply chain systems, financial systems, transactional systems that are kind of |
| 1:34.8 | at the front facing end of your business, making these closing transactions, doing ATM things |
| 1:41.4 | and all this kind of stuff, all flow into the centralized data warehouse |
| 1:44.9 | for longer term analysis. And so data warehousing is typically associated with descriptive |
| 1:51.2 | analytics. You're looking at the patterns that happens in the last four or five quarters of your |
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