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The Future of Data & Building Inclusive Tech Communities w/ James Reeves

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Manage episode 519808237 series 3694318
内容由David Morgan-Gumm提供。所有播客内容(包括剧集、图形和播客描述)均由 David Morgan-Gumm 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

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Episode Summary

In this episode of The sql_squared Podcast, we're joined by our special guest, James Reeves , for a deep dive into the evolving landscape of data engineering platforms , the importance of cost efficiency in the cloud , and the critical role of neurodiversity and equality in building strong, innovative tech teams.

As an expert with a career spanning roles like SQL Server Consultant , Data Warehouse Architect , Data Engineer , and his current role as an AI Engineer at Brabners , James shares his unique insights on the pros and cons of platforms like Databricks and Snowflake , strategies for managing cloud costs , and the future of SQL Server.

Listeners will walk away with a deeper understanding of key data platform differences , practical tips for avoiding common cloud billing mistakes , and a fresh perspective on the importance of neurodiversity and supporting junior developers. This is a can't-miss episode for anyone interested in data engineering , cloud architecture , and building more human-centric tech teams.

Guest Information

  • Name: James Reeves
  • Bio: James's career is a masterclass in the evolution of data roles. He's been a SQL Server Consultant , a Data Warehouse Architect , a Data Engineer , an Analytics Engineer , and a Director of Analytics. This incredible breadth of experience gives him a unique perspective on the industry , which he now applies in his current role as an AI Engineer at Brabners. Beyond his technical chops, he's a huge voice in the data community and a passionate advocate for building inclusive tech spaces.
  • Social Media:
    • LinkedIn: @sqlcestrian

Resources Mentioned

  • SQLBits Conference: [https://www.sqlbits.com] - A major UK data conference discussed by James and David. Use code sqlsquared2026 for a discount on your ticket for the 2026 event in Newport.

#dataengineering, #databricks, #snowflake, #sqlserver, #cloudcosts, #neurodiversity, #techcareers, #DEI, #dataplatforms, #sql

Support the show

Support the show!

Enjoying The sql_squared Podcast? The best way to support us is by subscribing to our YouTube channel!

  • Watch & Subscribe on YouTube
  • Listen on other platforms: Apple Podcasts | Spotify
  • Leave a Review: If you found this episode helpful, please leave a 5-star review wherever you get your podcasts or leave a like and comment on YouTube.
  • Share: Know someone who would love this episode? Go ahead and share a link!

The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.

...
  continue reading

10集单集

Artwork
icon分享
 
Manage episode 519808237 series 3694318
内容由David Morgan-Gumm提供。所有播客内容(包括剧集、图形和播客描述)均由 David Morgan-Gumm 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Send us a text

Episode Summary

In this episode of The sql_squared Podcast, we're joined by our special guest, James Reeves , for a deep dive into the evolving landscape of data engineering platforms , the importance of cost efficiency in the cloud , and the critical role of neurodiversity and equality in building strong, innovative tech teams.

As an expert with a career spanning roles like SQL Server Consultant , Data Warehouse Architect , Data Engineer , and his current role as an AI Engineer at Brabners , James shares his unique insights on the pros and cons of platforms like Databricks and Snowflake , strategies for managing cloud costs , and the future of SQL Server.

Listeners will walk away with a deeper understanding of key data platform differences , practical tips for avoiding common cloud billing mistakes , and a fresh perspective on the importance of neurodiversity and supporting junior developers. This is a can't-miss episode for anyone interested in data engineering , cloud architecture , and building more human-centric tech teams.

Guest Information

  • Name: James Reeves
  • Bio: James's career is a masterclass in the evolution of data roles. He's been a SQL Server Consultant , a Data Warehouse Architect , a Data Engineer , an Analytics Engineer , and a Director of Analytics. This incredible breadth of experience gives him a unique perspective on the industry , which he now applies in his current role as an AI Engineer at Brabners. Beyond his technical chops, he's a huge voice in the data community and a passionate advocate for building inclusive tech spaces.
  • Social Media:
    • LinkedIn: @sqlcestrian

Resources Mentioned

  • SQLBits Conference: [https://www.sqlbits.com] - A major UK data conference discussed by James and David. Use code sqlsquared2026 for a discount on your ticket for the 2026 event in Newport.

#dataengineering, #databricks, #snowflake, #sqlserver, #cloudcosts, #neurodiversity, #techcareers, #DEI, #dataplatforms, #sql

Support the show

Support the show!

Enjoying The sql_squared Podcast? The best way to support us is by subscribing to our YouTube channel!

  • Watch & Subscribe on YouTube
  • Listen on other platforms: Apple Podcasts | Spotify
  • Leave a Review: If you found this episode helpful, please leave a 5-star review wherever you get your podcasts or leave a like and comment on YouTube.
  • Share: Know someone who would love this episode? Go ahead and share a link!

The sql_squared podcast is your guide to navigating the ever-evolving world of data. We go beyond the code to explore the tools, techniques, and trends that shape the data landscape, from SQL Server and cloud platforms to AI and developer productivity. Join us as we chat with experts from the community to help you learn, grow, and make the right decisions on your data journey.

...
  continue reading

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