Big Data Episodes

Big Data Articles

Big Data Tutorials

Big Data Cheat Sheets

Richie, Derek, and Justyna explore the transition from cloud to edge computing, the benefits of reduced latency, the role of AI at the edge, and the future of edge-native applications, and much more.

Edge AI with Derek Collison & Justyna Bak, CEO & VP of Marketing at Synadia

Richie, Zuzanna and Hélène explore real-time analytics, the benefits of adopting real-time analytics, the key roles and stakeholders you need to make that happen, strategies for effective adoption, the real-time of the future, and much more. 

Harnessing the Power of Now With Real-Time Analytics with Zuzanna Stamirowska & Hélène Stanway

Richie, Jonathan and Scott explore first-party vs third-party data, protecting corporate data, behavioral data, data sourcing strategies, data privacy, synthetic data, the future of data collection and storage, and much more. 

Getting the Data For Your Data-Driven Decisions with Jonathan Bloch & Scott Voigt

Richie and Andi explore databases and their relationship with AI, key features needed in databases for AI, GCP, AlloyDB, federated queries in Google Cloud, vector and graph databases, practical use cases of AI in databases and much more. 

Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at Google

Richie and Saad explore the business impacts of data infrastructure, the roles and teams you need to get started, scalability and future-proofing, continuous education and flexibility, trends in data infrastructure, and much more. 

The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium Ventures

Richie and Ryan explore data growth and computation, the data 1%, the small data movement, the shift to local and hybrid computing, SQL language enhancements, simple and ergonomic data solutions and much more. 

Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuck

Richie and Taylor explore the biggest challenges in data engineering, how to find the right tools for your data stack, defining the modern data stack, federated data, data fabrics and meshes, AI’s impact on data and much more.