In The Grand Schema of Things cover art

All Episodes

In The Grand Schema of Things — 29 episodes

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Title
1

Understanding AI Agent Skills, MCP and Custom GPTs/Gems

2

Embracing AI Disruption and AI Tooling

3

More Thoughts on the State of AI Software Development

4

2025 Reflections, Google Antigravity, NotebookLM, Dremio AI Agent, Pangolin Catalog, Dremioframe & Iceframe Python Libraries for Apache Iceberg

5

Why do Semantic Layers matter so much?

6

Gaming Handheld Buying Guide and New Lakehouse Free Trial

7

Lakehouse Catalogs Beyond Apache Iceberg, What could they Look Like?

8

Understanding the role of MCP, Langchain and Agent2Agent

9

Enabling and Optimizing Agentic AI: Access, Performance and the Semantic Layer

10

Why Apache Polaris will Become the Industry Standard Data Lakehouse Catalog

11

Data News: Snowflake/Databricks Announcements, Iceberg V3

12

Data News: DuckLake, Confluent’s TableFlow, New Book!

13

Bonus – What is MCP? (Model Context Protocol – Modern AI 101)

14

Will Apache Iceberg and Delta Lake Merge?

15

2025, Data Lakehouse Looking Forward

16

BONUS: Data Lakehouse Crash Course (Polaris, Nessie, Unity, Gravitino, Lakekeeper and more!)

17

FREE Apache Iceberg Crash Course

18

9 – Data Protection by Design and by Default

19

8 – Thinking Through Data Models for Incremental Ingestion

20

7 – How do you model graph data?

21

#1 – intro to catalogs, manifests and metadata. Oh my!

22

6 – An Overview of what is Data Vault Modeling

23

5 – Understanding Data Mesh

24

4 – Inmon & Kimball Warehouse Modeling

25

2024 Preview – Data/Web Content

26

3 – Slowly Changing Dimensions (SCD)

27

2 – Data Modeling vs Data Management

28

Call for Speakers – Subsurface 2024 (Live in NYC May 2024)

29

1 – Data Look Back: From On-Prem Data Warehouses to Zero-ETL Data Lakehouses