Sign up to save your podcasts
Or
Share EP57 - From Hadoop & Hive to Minio & Dremio: Moving Towards a Next Gen Data Architecture
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
EP57 - From Hadoop & Hive to Minio & Dremio: Moving Towards a Next Gen Data Architecture
Legacy data platforms often fall short of the performance, processing and scaling requirements for robust AI/ML initiatives. This is especially true in complex multi-cloud (public, private, edge, airgapped) environments.
The combined power of MinIO and Dremio creates a data lakehouse platform that overcomes these challenges, delivering scalability, performance and efficiency to ensure successful AI initiatives.
Watch Brenna Buuck, Sr. Technical Evangelist at MinIO and Alex Merced, Sr. Technical Evangelist at Dremio provided insights on:
- AI Workflows: How a data lakehouse simplifies critical AI tasks like model training, refinement, feature selection and real-time inference for faster decisions
- Scalability and Performance: How a data lakehouse architecture scales seamlessly to meet the fast-growing demands of AI applications
- Data Management Efficiency: How a data lakehouse streamlines data management for IT teams, allowing them to focus on innovation
View all episodes
By Dremio (The Open Data Lakehouse Platform)Legacy data platforms often fall short of the performance, processing and scaling requirements for robust AI/ML initiatives. This is especially true in complex multi-cloud (public, private, edge, airgapped) environments.
The combined power of MinIO and Dremio creates a data lakehouse platform that overcomes these challenges, delivering scalability, performance and efficiency to ensure successful AI initiatives.
Watch Brenna Buuck, Sr. Technical Evangelist at MinIO and Alex Merced, Sr. Technical Evangelist at Dremio provided insights on:
- AI Workflows: How a data lakehouse simplifies critical AI tasks like model training, refinement, feature selection and real-time inference for faster decisions
- Scalability and Performance: How a data lakehouse architecture scales seamlessly to meet the fast-growing demands of AI applications
- Data Management Efficiency: How a data lakehouse streamlines data management for IT teams, allowing them to focus on innovation