It’s all about Data Pipelines. Join Pure Storage Field Solution Architect Chad Hendron and Solutions Director Andrew Silifant for a deep dive into the evolution of data management, focusing on the Data Lakehouse architecture and its role in the age of AI and ML. Our discussion looks at the Data Lakehouse as a powerful combination of a data lake and a data warehouse, solving problems like "data swamps” and proprietary formats of older systems. Viewers will learn about technological advancements, such as object storage and open table formats, that have made this new architecture possible, allowing for greater standardization and multiple tooling functions to access the same data.
Our guests also explore current industry trends, including a look at Dremio's 2025 report showing the rapid adoption of Data Lakehouses, particularly as a replacement for older, inefficient systems like cloud data warehouses and traditional data lakes. Gain insight into the drivers behind this migration, including the exponential growth of unstructured data and the need to control cloud expenditure by being more prescriptive about what data is stored in the cloud versus on-premises. Andrew provides a detailed breakdown of processing architectures and the critical importance of meeting SLAs to avoid costly and frustrating pipeline breaks in regulated industries like banking.
Finally, we provide practical takeaways and a real-world case study. Chad shares a customer success story about replacing a large, complex Hadoop cluster with a streamlined Dremio and Pure Storage solution, highlighting the massive reduction in physical space, power consumption, and management complexity. Both guests emphasize the need for better governance practices to manage cloud spend and risk. Andrew underscores the essential, full-circle role of databases—from the "alpha" of data creation to the "omega" of feature stores and vector databases for modern AI use cases like Retrieval-Augmented Generation (RAG). Tune in to understand how a holistic data strategy, including Pure’s Enterprise Data Cloud, can simplify infrastructure and future-proof your organization for the next wave of data-intensive workloads.
To learn more, visit https://www.purestorage.com/solutions/ai/data-warehouse-streaming-analytics.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
03:15 Data Lakehouse Primer
08:31 Stat of the Episode on Lakehouse Usage
10:50 Challenges with Data Pipeline access
13:58 Assessing Organization Success with Data Cleaning
16:07 Use Cases for the Data Lakehouse
20:41 Case Study on Data Lakehouse Use Case
24:11 Hot Takes Segment
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It’s all about Data Pipelines. Join Pure Storage Field Solution Architect Chad Hendron and Solutions Director Andrew Silifant for a deep dive into the evolution of data management, focusing on the Data Lakehouse architecture and its role in the age of AI and ML. Our discussion looks at the Data Lakehouse as a powerful combination of a data lake and a data warehouse, solving problems like "data swamps” and proprietary formats of older systems. Viewers will learn about technological advancements, such as object storage and open table formats, that have made this new architecture possible, allowing for greater standardization and multiple tooling functions to access the same data.
Our guests also explore current industry trends, including a look at Dremio's 2025 report showing the rapid adoption of Data Lakehouses, particularly as a replacement for older, inefficient systems like cloud data warehouses and traditional data lakes. Gain insight into the drivers behind this migration, including the exponential growth of unstructured data and the need to control cloud expenditure by being more prescriptive about what data is stored in the cloud versus on-premises. Andrew provides a detailed breakdown of processing architectures and the critical importance of meeting SLAs to avoid costly and frustrating pipeline breaks in regulated industries like banking.
Finally, we provide practical takeaways and a real-world case study. Chad shares a customer success story about replacing a large, complex Hadoop cluster with a streamlined Dremio and Pure Storage solution, highlighting the massive reduction in physical space, power consumption, and management complexity. Both guests emphasize the need for better governance practices to manage cloud spend and risk. Andrew underscores the essential, full-circle role of databases—from the "alpha" of data creation to the "omega" of feature stores and vector databases for modern AI use cases like Retrieval-Augmented Generation (RAG). Tune in to understand how a holistic data strategy, including Pure’s Enterprise Data Cloud, can simplify infrastructure and future-proof your organization for the next wave of data-intensive workloads.
To learn more, visit https://www.purestorage.com/solutions/ai/data-warehouse-streaming-analytics.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
03:15 Data Lakehouse Primer
08:31 Stat of the Episode on Lakehouse Usage
10:50 Challenges with Data Pipeline access
13:58 Assessing Organization Success with Data Cleaning
16:07 Use Cases for the Data Lakehouse
20:41 Case Study on Data Lakehouse Use Case
24:11 Hot Takes Segment
The Platform Mindset: Driving Workflow Efficiency in the Data Center
The Pure Report
53 minutes 44 seconds
2 months ago
The Platform Mindset: Driving Workflow Efficiency in the Data Center
The Pure Report welcomes Shawn Rosemarin, VP R&D, Customer Engineering at Pure Storage, to explore the critical topic of workflow optimization in today's IT landscape. Shawn shares his unique perspective on how the industry is moving beyond a product-centric view to embrace a platform mindset, emphasizing the profound impact this shift has on people and processes. Drawing on decades of experience, he highlights how true value is derived when technology actively evolves the way companies operate, making life better for IT professionals and streamlining essential business functions.
Our conversation dives deep into the "death by a thousand cuts" phenomenon, where seemingly minor inefficiencies in IT workflows accumulate into major productivity drains and significant risks. Shawn breaks down key areas such as provisioning and resource allocation, performance management and monitoring, and refresh cycles, illustrating how traditional approaches often lead to wasted time, increased costs, and security vulnerabilities. He uses compelling analogies, from ride-hailing apps to airplane checklists, to underscore the need for automated, consistent, and intelligent solutions that simplify complex tasks and minimize human error.
We ultimately arrive at a discussion around an autonomous operating environment, where human ingenuity is augmented by machine intelligence to proactively identify and resolve issues, reduce risk, and accelerate time to market. Thought the episode we link to how Pure’s platform approach, including innovations like Pure 1 and Evergreen//One, is transforming the way customers manage their data estate, enabling centralized policy controls, self-service upgrades, and seamless cloud integration.
The Pure Report
It’s all about Data Pipelines. Join Pure Storage Field Solution Architect Chad Hendron and Solutions Director Andrew Silifant for a deep dive into the evolution of data management, focusing on the Data Lakehouse architecture and its role in the age of AI and ML. Our discussion looks at the Data Lakehouse as a powerful combination of a data lake and a data warehouse, solving problems like "data swamps” and proprietary formats of older systems. Viewers will learn about technological advancements, such as object storage and open table formats, that have made this new architecture possible, allowing for greater standardization and multiple tooling functions to access the same data.
Our guests also explore current industry trends, including a look at Dremio's 2025 report showing the rapid adoption of Data Lakehouses, particularly as a replacement for older, inefficient systems like cloud data warehouses and traditional data lakes. Gain insight into the drivers behind this migration, including the exponential growth of unstructured data and the need to control cloud expenditure by being more prescriptive about what data is stored in the cloud versus on-premises. Andrew provides a detailed breakdown of processing architectures and the critical importance of meeting SLAs to avoid costly and frustrating pipeline breaks in regulated industries like banking.
Finally, we provide practical takeaways and a real-world case study. Chad shares a customer success story about replacing a large, complex Hadoop cluster with a streamlined Dremio and Pure Storage solution, highlighting the massive reduction in physical space, power consumption, and management complexity. Both guests emphasize the need for better governance practices to manage cloud spend and risk. Andrew underscores the essential, full-circle role of databases—from the "alpha" of data creation to the "omega" of feature stores and vector databases for modern AI use cases like Retrieval-Augmented Generation (RAG). Tune in to understand how a holistic data strategy, including Pure’s Enterprise Data Cloud, can simplify infrastructure and future-proof your organization for the next wave of data-intensive workloads.
To learn more, visit https://www.purestorage.com/solutions/ai/data-warehouse-streaming-analytics.html
Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts:
https://purecommunity.purestorage.com/
00:00 Intro and Welcome
03:15 Data Lakehouse Primer
08:31 Stat of the Episode on Lakehouse Usage
10:50 Challenges with Data Pipeline access
13:58 Assessing Organization Success with Data Cleaning
16:07 Use Cases for the Data Lakehouse
20:41 Case Study on Data Lakehouse Use Case
24:11 Hot Takes Segment
