Gnarly Data Waves by Dremio

About Gnarly Data Waves by Dremio

Gnarly Data Waves is a weekly show about the world of Data Analytics and Data Architecture. Learn about the technologies giving the company access to cutting-edge insights. If you work datasets, data warehouses, data lakes or data lakehouses, this show it for you! Join us for our live recordings to participate in the Q&A: dremio.com/events Subscribe to the Dremio youtube channel on: youtube.com/dremio Take the Dremio Platform for a free test-drive: https://www.dremio.com/test-drive/

Publisher

Dremio (The Open Data Lakehouse Platform)

Category

technology

Language

en

Explicit

No

First episode

21 Jan 2023

Latest episode

29 Oct 2024

Latest episodes

62 episodes in the feed.

1. 

   29 Oct 2024

   EP59: Charting the Course: The Evolution and Future of Apache Iceberg and Polaris

   This session will provide a comprehensive overview of Iceberg's journey, its current role within the data ecosystem, and the promising future it holds with the integration of Polaris (incubating). We will discuss how these technologies redefine table formats and catalog management, empowering organizations to efficiently manage and analyze large-scale data. Attendees will gain valuable insights into the evolving landscape, ensuring they remain at the forefront of innovation and continue to shape thought leadership in the data ecosystem.

2. 

   29 Oct 2024

   EP58 - Transforming the Landscape of Real-Time Data Analytics

   Try Out Dremio on your Laptop: https://drmevn.fyi/youtubelakehouse102924

3. 

   8 Oct 2024

   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

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Spotify

5.0 / 5

1 ratings

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Guest appearances

Does not typically book guests

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