Tech Talks with Kimberly and AIJoe
Claim This Podcastby Kimberly L. Tripp
Podcast Overview
<p>Kimberly L. Tripp (SQLskills) and Joe Sack (Independent / resume includes Elastic, Microsoft, PostGres, and SQLskills) like to talk tech and always have fun doing it. We're mostly focused on topics for data professionals. SQL Server is our preferred database for prototyping and testing but many concepts apply to other databases (especially around AI and Vector Search). We, like many tech types, also like to branch out (squirrel) to all things Tech - especially animals, photography, gadgets, and who else knows what?!</p>
Language
🇺🇲
Publishing Since
3/4/2026
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Recent Episodes
March 26, 2026
011: Designing for Embeddings with Partitioning
<p>The conversation delves into the design considerations for embedding models, storage and management of embedding models, model versioning, separate tables for embedding models, switching data and model cut-over, strategic partitioning for data analysis, handling chunking and provenance tracking, recency and legal requirements, read, write, and data structure considerations, and policy-based management for agents.</p><p></p><p>Takeaways</p><ul><li>Embedding models require careful design and consideration</li><li>The use of separate tables for embedding models allows for flexibility and better management</li></ul><p></p><p>Chapters</p><p>00:00 Exploring Vector Use Cases</p><p>02:44 Embedding Storage Strategies</p><p>05:29 Managing Embedding Models</p><p>08:10 Data Partitioning and Embedding</p><p>10:42 Designing for Change in Embeddings</p><p>13:36 Best Practices for Database Agents</p>
March 25, 2026
010: Reconciling Database Sprawl and Hybrid Queries
<p>The conversation delves into the use of vector search for identifying schema and table structure similarities, highlighting its benefits and limitations. It explores the challenges of using vector search to identify redundancy and foreign key relationships within databases.</p><p></p><p>Takeaways</p><ul><li>Vector search for schema and table structure similarities</li><li>Limitations of vector search in identifying redundancy and foreign key relationships</li></ul><p></p><p>Chapters</p><ul><li>00:00 Schema and Table Structure Similarities</li></ul>
March 11, 2026
009: Navigating Vector Search and Staying Relevant
<p>The conversation explores the power of AI and vector search, focusing on code exploration and analysis. It delves into the challenges of code sprawl, semantic similarity, and the potential of vector search to identify and address inconsistencies in code. The use of vector search as a tool for code analysis and refactoring is highlighted, along with its potential to enhance the role of DBAs and developers. The conversation also touches on the future role of AI agents in code search and the practical applications of vector search in database management.</p><p></p><p>Takeaways</p><ul><li>Code sprawl and semantic similarity pose challenges in code exploration and analysis.</li><li>Vector search can be used to identify inconsistencies in code and facilitate refactoring.</li><li>The use of vector search enhances the role of DBAs and developers in code analysis and refactoring.</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to Vector Search and Its Impact</li><li>02:59 The Role of DBAs in Vector Search</li><li>06:01 Agentic Coding and Its Implications</li><li>08:59 Use Cases for Vector Search in E-commerce</li><li>12:11 Prototyping with SQL Server and AI</li><li>14:59 The Future of Vector Search and Its Adoption</li><li>17:59 Conclusion and Final Thoughts<p></p></li></ul>
11 total episodes available
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- What is Tech Talks with Kimberly and AIJoe?
<p>Kimberly L. Tripp (SQLskills) and Joe Sack (Independent / resume includes Elastic, Microsoft, PostGres, and SQLskills) like to talk tech and always have fun doing it. We're mostly focused on topics for data professionals. SQL Server is our preferred database for prototyping and testing but many concepts apply to other databases (especially around AI and Vector Search). We, like many tech types, also like to branch out (squirrel) to all things Tech - especially animals, photography, gadgets, and who else knows what?!</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
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