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Why context engineering belongs in the data warehouse
|
Daniel Poppy |
2026-10-27 |
1,537 |
--
|
|
How Guitar Center rebuilt its data platform on trust
|
Daniel Poppy |
2026-10-27 |
659 |
--
|
|
Inside dbt v2: how a rebuilt SQL engine makes linting up to 250x faster
|
Daniel Poppy |
2026-10-27 |
683 |
--
|
|
ClickHouse + dbt: Building a GitOps workflow at Twilio
|
Daniel Poppy |
2026-10-27 |
549 |
--
|
|
How KOHO built a Claude-powered self-serve analytics tool on years of dbt governance
|
Daniel Poppy |
2026-10-27 |
826 |
--
|
|
Charts worth stealing: the design calls BI should ship
|
Daniel Poppy |
2026-10-27 |
808 |
--
|
|
dbt without the warehouse (or the bill): DuckDB end to end
|
Daniel Poppy |
2026-10-27 |
541 |
--
|
|
Apache Iceberg on Snowflake got a lot simpler in 2026, and dbt's new catalog config is what makes it click
|
Daniel Poppy |
2026-10-27 |
630 |
--
|
|
dbt Charts: a new open-source language for dashboards that live inside your dbt repo
|
Daniel Poppy |
2026-10-27 |
459 |
--
|
|
With great context comes great autonomy
|
Daniel Poppy |
2026-10-27 |
682 |
--
|
|
Why most of your dbt models aren't in a hurry, and what that's worth in Snowflake credits
|
Daniel Poppy |
2026-10-27 |
710 |
--
|
|
How Checkr cut an hours-long metrics investigation to minutes by engineering AI context on dbt and Omni
|
Daniel Poppy |
2026-10-27 |
708 |
--
|
|
Ship AI agents like tables: dbt materializations for Snowflake CoWork
|
Daniel Poppy |
2026-10-27 |
680 |
--
|
|
What a year of building ADBC drivers taught Columnar about zero-copy's non-zero problems
|
Daniel Poppy |
2026-10-27 |
841 |
--
|
|
How Ecolab used an AI migration agent to shrink 84,000 lines of legacy SQL by 6x
|
Daniel Poppy |
2026-10-27 |
685 |
--
|
|
What Open Data Infrastructure looks like with dbt Mesh
|
Daniel Poppy |
2026-10-27 |
533 |
--
|
|
How to put generative AI directly into a dbt pipeline with plain SQL
|
Daniel Poppy |
2026-10-27 |
690 |
--
|
|
How a one-person data team at Keep built real-time banking infrastructure on dbt
|
Daniel Poppy |
2026-10-27 |
954 |
--
|
|
How Sigma runs a 2,883-model semantic layer on dbt and Dagster
|
Daniel Poppy |
2026-10-27 |
435 |
--
|
|
Why an AI agent's revenue query was $3.5 million wrong, and how AWS fixed it with dbt Semantic Layer
|
Daniel Poppy |
2026-10-27 |
798 |
--
|
|
How LangChain grew self-serve analytics questions 40x by giving its AI agent layered context
|
Daniel Poppy |
2026-10-27 |
661 |
--
|
|
How dbt Labs and Fivetran are moving dbt workloads onto the data lake, model by model
|
Daniel Poppy |
2026-10-27 |
702 |
--
|
|
How EF Education First built a cost and value layer for dbt models with a Snowflake Cortex Agent
|
Daniel Poppy |
2026-10-27 |
721 |
--
|
|
Why dbt Labs thinks AI agents will finally make the semantic layer stick
|
Daniel Poppy |
2026-10-27 |
804 |
--
|
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How DoorDash scaled merchant-facing analytics to thousands of users in weeks, on dbt and ThoughtSpot
|
Daniel Poppy |
2026-10-27 |
534 |
--
|
|
Why a semantic layer is the difference between a 96% and an 80% accurate AI analyst
|
Daniel Poppy |
2026-10-27 |
590 |
--
|
|
How KOHO built a Claude-powered self-serve analytics tool on years of dbt governance
|
Daniel Poppy |
2026-10-27 |
876 |
--
|
|
How Sweetwater catches broken dbt pipelines before anyone notices, with Datadog
|
Daniel Poppy |
2026-10-27 |
696 |
--
|
|
What Okta learned governing context for AI agents at scale
|
Daniel Poppy |
2026-10-27 |
892 |
--
|
|
How Ramp's internal AI agents crossed a million sessions
|
Daniel Poppy |
2026-10-27 |
519 |
--
|
|
How Virgin Media O2 cut compute costs 30% by giving dbt a memory
|
Daniel Poppy |
2026-10-27 |
871 |
--
|
|
How Obie Insurance cut its month-end close from 25 hours to 2 with dbt State and a lake house rebuild
|
Daniel Poppy |
2026-10-27 |
639 |
--
|
|
How a data scientist at Kilo built the business context layer his AI agents were missing
|
Daniel Poppy |
2026-10-26 |
615 |
--
|
|
How customer pressure pushed dbt past a cautious platform team at Delivery Hero
|
Daniel Poppy |
2026-10-26 |
981 |
--
|
|
How DocuSign cut analytics engineering time in half by pairing Claude Code with dbt v2, dbt MCP, and agent skills
|
Daniel Poppy |
2026-10-26 |
446 |
--
|
|
Optimizing your runs for lower compute, fresher data, and faster iteration with dbt State
|
Daniel Poppy |
2026-10-26 |
638 |
--
|
|
From mainframe to AI-powered maturity: Verisk's data modernization journey
|
Daniel Poppy |
2026-10-26 |
975 |
--
|
|
How WebstaurantStore used Snowflake Cortex AI to automate dbt staging for 700+ sources in 90 days
|
Daniel Poppy |
2026-10-26 |
420 |
--
|
|
How AlphaSense turned a 3-to-5-week data rebuild into a few hours with dbt and Euno's AI context
|
Daniel Poppy |
2026-10-26 |
605 |
--
|
|
A dbt "logic mesh" with packages: standard model and metrics across 25 autonomous organizations
|
Daniel Poppy |
2026-10-26 |
744 |
--
|
|
Inside dbt Wizard, the AI agent built to show its work
|
Daniel Poppy |
2026-10-26 |
728 |
--
|
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How Mitratech cut new customer data onboarding from six weeks to three days with dbt
|
Daniel Poppy |
2026-10-26 |
653 |
--
|
|
How Kramp cut analyst onboarding from days to minutes with a self-serve dbt Mesh factory
|
Daniel Poppy |
2026-10-26 |
805 |
--
|
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Meta:Context: a business context schema in dbt's semantic layer
|
Daniel Poppy |
2026-10-26 |
716 |
--
|
|
Beyond medallion architecture: the written rules that keep a growing dbt project consistent
|
Daniel Poppy |
2026-10-26 |
591 |
--
|
|
Showing our work: a controlled experiment in context engineering
|
Christine Berger |
2026-10-26 |
3,536 |
--
|
|
The dbt governance framework that cut new project setup time 70%
|
Daniel Poppy |
2026-10-26 |
670 |
--
|
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From prompt to PR: how Careem’s AI writes and validates dbt models before a human ever sees them
|
Daniel Poppy |
2026-10-26 |
805 |
--
|
|
How Recruit Holdings, the company behind Indeed, taught its text-to-SQL agent to read a website's hidden context
|
Daniel Poppy |
2026-10-26 |
641 |
--
|
|
How Data Culture measured its way from zero trust to a shippable AI analytics agent
|
Daniel Poppy |
2026-10-26 |
946 |
--
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