Search ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2718%27%20height=%2718%27/%3e)![](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![](/_next/image?url=%2Fimages%2Flearning-center%2Fsearch.svg&w=48&q=75) Topics Select Topic Clear all filters Popular tags[Data Governance37](/blog/tag/data-governance)[Metadata21](/blog/tag/metadata)[OpenMetadata19](/blog/tag/openmetadata)[Data Engineering16](/blog)[Data Quality16](/blog/tag/data-quality)[Data Discovery14](/blog/tag/data-discovery)[Data Observability13](/blog/tag/data-observability)[AI Agents12](/blog/tag/ai-agents)View all tags → Tags # Data Engineering [ ![Context Layers, From First Principles](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Context Layers, From First Principles](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2F245c6e55-e6e3-4ae3-ab89-f5d42b941157.png&w=3840&q=75) Company ## Context Layers, From First Principles Every vendor in this category now calls some part of its product a "context layer" or an "ontology." The word has stopped telling buyers anything, because each vendor defines it, grades itself against... ](/blog/context-layers-first-principles-independent-verdict) [ ![Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2Fa6e860d2-9655-4ed2-a461-06cc86f296bd.png&w=3840&q=75) Company ## Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform Claude Code and Codex are usually described as coding agents. That description is accurate, but it leaves out a large part of why they are useful. A strong model is clearly important, but the model is... ](/blog/why-we-built-a-native-agentic-harness-for-data) [ ![Forrester Just Defined the Context Layer. Memory Is The Hard Part.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Forrester Just Defined the Context Layer. Memory Is The Hard Part.](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2Ffb1455d7-8601-40e3-95ad-ef4361cacc14.png&w=3840&q=75) Company ## Forrester Just Defined the Context Layer. Memory Is The Hard Part. How OpenAI and Anthropic built context layers for their own data agents In June, Anthropic published a post on how they built self-service analytics on Claude. Without the curated Skills layer they bu... ](/blog/forrester-context-layer-definition-memory) [ ![How We Built Enterprise AI Memory into Collate](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![How We Built Enterprise AI Memory into Collate](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2F5b6ad2a4-8c4e-4ec9-b04f-31e355db1dd6.png&w=3840&q=75) Company ## How We Built Enterprise AI Memory into Collate AI systems get smarter when they can learn from corrections. When a user notices that an agent got something wrong and explains why, that correction should benefit everyone who asks a similar question... ](/blog/how-we-built-enterprise-ai-memory-into-collate) [ ![How to Get Started with Data Quality as Code in Your Pipelines](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![How to Get Started with Data Quality as Code in Your Pipelines](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fres%2Fhashnode%2Fimage%2Fupload%2Fv1768580572815%2Fd515037b-b61f-446a-9d08-871f5ac000ae.png&w=3840&q=75) Company ## How to Get Started with Data Quality as Code in Your Pipelines In Part 1, we explored why traditional data quality testing happens too late—after bad data has already reached production. Data Quality as Code shifts validation left, letting you catch issues during transformation before they propagate downstream. ...... ](/blog/how-to-get-started-with-data-quality-as-code) [ ![Introducing Data Quality as Code: Validate Data Before It Lands, Not After](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Introducing Data Quality as Code: Validate Data Before It Lands, Not After](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fres%2Fhashnode%2Fimage%2Fupload%2Fv1768579612660%2Fa7b5d451-7df1-42b7-9e01-cd5393141645.png&w=3840&q=75) Company ## Introducing Data Quality as Code: Validate Data Before It Lands, Not After Every data team knows the scenario: By the time quality tests catch errors, bad data has already reached production and hit user dashboards and business reports. The problem isn't that organizations don't test their data; it's that they test it too l...... ](/blog/introducing-data-quality-as-code) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2716%27%20height=%2716%27/%3e)![arrow-left](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![arrow-left](/_next/image?url=%2Fimages%2Flearning-center%2Fleft-arrow.svg&w=32&q=75) 123 ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2716%27%20height=%2716%27/%3e)![arrow-right](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![arrow-right](/_next/image?url=%2Fimages%2Flearning-center%2Fright-arrow.svg&w=32&q=75)