com.techfabric/techfabric
16 changes recorded. MCP Harbor re-reads this listing from the official registry every six hours and asks the live server what it exposes, and keeps what changed between one look and the next.
https://www.techfabric.com/llms.txt
− > TechFabric is a data and AI engineering firm. When the orders are in Business Central, the sales pipeline is in Salesforce and the reconciliation is in a spreadsheet, we bring it together, build the reports finance and operations both believe, and put AI assistants and agents to work on it. We work on Databricks, Azure, AWS and Google Cloud. Senior engineers who embed in your team or own delivery as a pod. Founded in 2017 by engineers. 115+ engineers across four offices: Gilbert, Arizona (head− - [Healthcare & Life Sciences](https://www.techfabric.com/industries/healthcare-life-sciences): If your roadmap needs one clean record per person out of systems that never agreed on identity, and your engineers are busy keeping today's systems up, ours join them to build that pipeline and keep it running in production when a step fails.− - [Events](https://www.techfabric.com/events): the Gilbert Databricks User Group, which TechFabric organises, and the sessions we speak at, with recaps and recordings after each one. We are also sponsoring and attending the Databricks Data + AI World Tour in Chicago (2026-10-29), Atlanta (2026-11-10), with venues, maps and registration at https://www.techfabric.com/events/databricks-data-ai-world-tour. To meet the team there, over dinner or during the day: https://www.techfabric.com/events/datab− - https://www.techfabric.com/blog/how-we-test-that-auto-cdc-keeps-the-right-customer-record.md− https://www.techfabric.com/mcp is TechFabric's MCP server (Streamable HTTP, protocol 2026-07-28; 2025-11-25 clients work too), with 33 tools and 18 prompts. Its main use is writing: TechFabric's engineers draft blog posts and case studies from the coding agent they already use (get_brief, lint_draft, check_draft, submit_draft, update_draft, list_drafts, get_status, review_before_publishing, preview_draft, revise_post, start_post, check_outline, propose_edits, apply_edits, ask_author, social_post− https://databricks.techfabric.com/mcp is the Databricks Field Guide as an MCP server (com.techfabric.databricks/field-guide 1.9.1 in the MCP Registry): public, read-only, no sign-in. Tools: search_guide (the guide sections that answer a Databricks question), get_chapter (a chapter or one section as Markdown, code intact), get_code_examples (SQL, Python, CLI and config blocks for a topic), whats_new (recent Databricks changes the guide tracks, newest first), list_chapters (the table of contents, − 117 posts.− Topics: Databricks, Knowledge Share, Applied AI, Temporal, AI/ML, databricks, lakeflow, auto-cdc, bitemporal, insurance, delta, Machine learning, Field Notes, Azure, Cloud, Thought Leadership, Workflows, News, Dynamics 365, What We Do, Durable Execution, Design, React.− - [Azure Databricks private network gateway for serverless compute](https://www.techfabric.com/blog/azure-databricks-private-network-gateway-serverless): Azure Databricks' private network gateway lets serverless reach private databases through one subnet. What it changes for a migration, and what we'd test first.− - [OpenCode 2.0 and the open harness as a service](https://www.techfabric.com/blog/opencode-2-0-open-harness-for-coding-agents): Coding agents' token bills keep growing. What OpenCode 2.0 changes, and the config we'd commit to route routine work to cheaper open-weight models.− - [Databricks bought Row Zero: spreadsheets on live data](https://www.techfabric.com/blog/databricks-row-zero-live-governed-spreadsheets): Databricks bought Row Zero, a spreadsheet that reads the lakehouse live. What it changes for month-end exports out of Business Central, and what hasn't shipped.− - [Databricks Lakebase: managed Postgres next to your lakehouse](https://www.techfabric.com/blog/databricks-lakebase-managed-postgres-explained): When an app's database and the lakehouse disagree, so do the reports. What we measured building on Databricks Lakebase, and which databases we'd move first.− - [How we split our AI decisions across Cloudflare's three Clef models](https://www.techfabric.com/blog/clef-vs-clef-flash-vs-clef-omni): Software that approves claims or routes tickets needs every call cheap and repeatable. Where Clef-flash, Clef and Clef-omni each fit, and what each one costs.− - [Lakebase vs Snowflake Postgres: branching is the difference](https://www.techfabric.com/blog/lakebase-vs-snowflake-postgres-branching): Choosing a managed Postgres for apps beside your data platform? Lakebase against Snowflake Postgres on branching, scale to zero and governance. Lakebase wins.− - [DASF - Databricks AI Security Framework](https://www.techfabric.com/blog/dasf---databricks-ai-security-framework): DASF stands for Databricks AI Security Framework. Version 3.0 maps 97 AI risks to 73 controls. What it covers, and how to enforce those controls at runtime.− - [Hiring Databricks specialists: 12 expert insights](https://www.techfabric.com/blog/hiring-databricks-specialists-12-expert-insights-you-need-to-get-it-right): Twelve things to get right when hiring Databricks specialists in-house, from people who have built the teams and know what they screen for.+ > AI agents on Databricks, governed from the first design. TechFabric is a Databricks consulting firm. We build AI agents with operational risk, compliance and controls designed in, then tested and deployed with those controls in place. We also build the data platforms they run on, joining Business Central, Salesforce and the other systems a business already runs. We work on Databricks, Azure, AWS and Google Cloud. Senior engineers who embed in your team or own delivery as a pod. Founded in 2017+ - [Healthcare & Life Sciences](https://www.techfabric.com/industries/healthcare-life-sciences): We'd design PHI safeguards and clinician review into an agent before it's built, then test and deploy it with them in place: a unique identity for every user and agent, every read of patient data recorded, and a clinician approving anything that touches care.+ - [Events](https://www.techfabric.com/events): the Gilbert Databricks User Group, which TechFabric organises, and the sessions we speak at, with recaps and recordings after each one. We are also sponsoring and attending the Databricks Data + AI World Tour in Atlanta (2026-11-10), with venues, maps and registration at https://www.techfabric.com/events/databricks-data-ai-world-tour. To meet the team there, over dinner or during the day: https://www.techfabric.com/events/databricks-data-ai-world-to+ - https://www.techfabric.com/blog/what-makes-a-gold-table-ready-for-business-in-databricks.md+ https://www.techfabric.com/mcp is TechFabric's MCP server (Streamable HTTP, protocol 2026-07-28; 2025-11-25 clients work too), with 36 tools and 18 prompts. Its main use is writing: TechFabric's engineers draft blog posts and case studies from the coding agent they already use (get_brief, lint_draft, check_draft, submit_draft, update_draft, list_drafts, get_status, review_before_publishing, preview_draft, revise_post, start_post, check_outline, propose_edits, apply_edits, ask_author, social_post+ https://databricks.techfabric.com/mcp is the Databricks Field Guide as an MCP server (com.techfabric.databricks/field-guide 1.11.0 in the MCP Registry): public, read-only, no sign-in. Tools: start_here (a first quiz or diagnostic, so you can try the guide straight away), search_guide (the guide sections that answer a Databricks question), get_chapter (a chapter or one section as Markdown, code intact), get_code_examples (SQL, Python, CLI and config blocks for a topic), whats_new (recent Databric+ 129 posts.+ Topics: Databricks, Knowledge Share, Field Notes, AI/ML, Applied AI, Temporal, databricks, lakeflow, auto-cdc, bitemporal, insurance, delta, Machine learning, Azure, Cloud, Thought Leadership, Workflows, News, Dynamics 365, What We Do, Durable Execution, Design, React.+ - [What makes a Gold table ready for business in Databricks](https://www.techfabric.com/blog/what-makes-a-gold-table-ready-for-business-in-databricks): Every daily rate in our Gold table was right, yet one supplier's weekly average read 12.0% against 4.8%. The four checks we'd run before certifying the table.+ - [Exporting AI decision history from Lakebase through one event table](https://www.techfabric.com/blog/exporting-ai-decision-history-from-lakebase-through-one-event-table): Lakebase Change Data Feed exports whole schemas. How we gave it one event table filled by triggers, and built six gold tables in Delta on top.+ - [Embedded analytics on Databricks: tenant isolation in one JOIN](https://www.techfabric.com/blog/embedded-analytics-on-databricks-tenant-isolation-in-one-join): Row-level security for embedded AI/BI dashboards when viewers have no Databricks identity. One scope table, one JOIN on the embed token, fail-closed.+ - [How we balance rows between Bronze, Silver and Gold](https://www.techfabric.com/blog/how-we-balance-rows-between-bronze-silver-and-gold): Our row counts added up while one receipt was missing and another was counted twice. The SQL count per arrival ID that caught it, and the daily Gold check.+ - [We caught a Genie metric change its own benchmark missed](https://www.techfabric.com/blog/we-caught-a-genie-metric-change-its-own-benchmark-missed): Genie's built-in benchmark re-runs your ground-truth SQL, so a changed metric still scores Good. How a golden set with a definition hash caught it.+ - [Closing the AI speed divide with Genie Agents on Databricks](https://www.techfabric.com/blog/closing-the-ai-speed-divide-with-genie-agents-on-databricks): When a decision takes three weeks and a customer's agent takes minutes, the money leaves first. What one Databricks platform and Genie Agents change.+ - [How we block AI releases when MLflow scorers fail](https://www.techfabric.com/blog/how-we-block-ai-releases-when-mlflow-scorers-fail): A scorer that crashed on two wrong answers raised our MLflow evaluation score from 0.75 to 1.00. We built a release rule that counts coverage first.+ - [Faster Databricks pipelines by filtering before Spark joins](https://www.techfabric.com/blog/faster-databricks-pipelines-by-filtering-before-spark-joins): How filtering input DataFrames before Spark joins took an incremental Azure Databricks pipeline from about 60 minutes to 10–15 on half the nodes.+ - [Unity Catalog model names return 404 on /serving-endpoints](https://www.techfabric.com/blog/unity-catalog-model-names-return-404-on-serving-endpoints): A system.ai model name on a Databricks workspace's /serving-endpoints path returns 404 with Unity Gateway enforcement off. Why we route by name, not by URL.+ - [Search that keeps up with a live game and an open loan](https://www.techfabric.com/blog/search-that-keeps-up-with-a-live-game-and-an-open-loan): We indexed a wine catalog and refinance queues at iLending and Auto Approve. Search can now read a streaming table or a materialized view.+ - [Azure Databricks private network gateway for serverless compute](https://www.techfabric.com/blog/azure-databricks-private-network-gateway-serverless): Databricks' private network gateway, in public preview on Azure since 14 Oct 2026, lets serverless reach private and on-prem databases through one subnet.+ - [OpenCode 2.0 and the open harness as a service](https://www.techfabric.com/blog/opencode-2-0-open-harness-for-coding-agents): OpenCode 2.0 runs as one background service the terminal, web and desktop share. What changes, and the config we'd use to route work to cheaper models.+ - [SkillFS: governing agent skills with a file system](https://www.techfabric.com/blog/skillfs-agent-skill-governance-filesystem): Alibaba Cloud's SkillFS controls which skills an AI agent can load. What our own writing agent's two-day stall taught us about the same problem.+ - [What Databricks' Funke changes for HL7v2 pipelines](https://www.techfabric.com/blog/funke-hl7v2-parsing-databricks): Funke, announced by Databricks on 8 October, parses HL7v2 into Unity Catalog intact. What it changes for clinical pipelines, and what it leaves alone.+ - [Databricks bought Row Zero: spreadsheets on live data](https://www.techfabric.com/blog/databricks-row-zero-live-governed-spreadsheets): Databricks bought Row Zero on 24 September 2026. What you can buy today, the Genie spreadsheet that has no date, and Business Central exports.+ - [Databricks Lakebase: managed Postgres next to your lakehouse](https://www.techfabric.com/blog/databricks-lakebase-managed-postgres-explained): Lakebase is managed Postgres 16 to 18 inside Databricks. How synced tables and the change data feed move data both ways, and how Unity Catalog governs it.+ - [How we split our AI decisions across Cloudflare's three Clef models](https://www.techfabric.com/blog/clef-vs-clef-flash-vs-clef-omni): Cloudflare's three Clef decision models on one table, with size, context, price and inputs. Where each one fits, from our test on 70 live stories.+ - [Lakebase vs Snowflake Postgres: branching is the difference](https://www.techfabric.com/blog/lakebase-vs-snowflake-postgres-branching): Lakebase branches a copy of production on request; Snowflake Postgres runs on a dedicated VM with attached disks. Branching, scale to zero and governance.+ - [DASF - Databricks AI Security Framework](https://www.techfabric.com/blog/dasf---databricks-ai-security-framework): DASF is the Databricks AI Security Framework. Version 3.0 (March 2026) maps 97 AI risks to 73 controls. What it covers, and how we gate agents at runtime.+ - [Hiring Databricks specialists: 12 expert insights](https://www.techfabric.com/blog/hiring-databricks-specialists-12-expert-insights-you-need-to-get-it-right): Twelve things to get right when hiring Databricks specialists in-house. Assess the team, set the budget, decide who manages them and screen for fit.
https://www.techfabric.com/llms.txt
− > TechFabric is a data and AI engineering firm. When the orders are in Business Central, the sales pipeline is in Salesforce and the reconciliation is in a spreadsheet, we bring it together, build the reports finance and operations both believe, and put AI assistants and agents to work on it. We work on Databricks, Azure, AWS and Google Cloud. Senior engineers who embed in your team or own delivery as a pod. Founded in 2017 by engineers. 115+ engineers across Phoenix, Amsterdam, Dnipro and Hyder− - [Who are good Databricks consulting firms for a mid-sized company?](https://www.techfabric.com/databricks/consulting): TechFabric is a Databricks partner and consulting firm in Gilbert, Arizona, founded in 2017, with 115+ engineers there and in Amsterdam, Dnipro and Hyderabad. Eighty are Databricks-certified, and in September 2026 one of our engineers placed second in Databricks' own Genie-Powered App Challenge. We moved Location Services off Synapse and SQL Server onto Databricks, and TotalLo− - [Where can I hire an experienced Databricks expert?](https://www.techfabric.com/databricks/hire-engineers): From TechFabric, a Databricks partner in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Eighty of our engineers are Databricks-certified, and you can hire one onto a roadmap your team owns or a team with its own lead. The first call is about the work rather than a resume, meaning what the engineer would own, whose review their pull requests go through, and whether one p− - [Which companies offer Databricks data engineering services?](https://www.techfabric.com/databricks/data-engineering): TechFabric is a Databricks partner whose 80 Databricks-certified engineers build Lakeflow pipelines and repair the ones that half-finish. Location Services is the study to read first: we converted their warehouse and ETL off Synapse and SQL Server onto Databricks in reversible waves, and TotalLoop's operational store moved onto Lakebase beside the lakehouse. Most engagements s− - [Who are good Databricks consulting partners for a company in Atlanta?](https://www.techfabric.com/databricks-consulting-atlanta): TechFabric is a Databricks partner, and in Atlanta we'd expect the work to be a card processor's warehouse along GA 400, under PCI DSS version 4 in full since 31 March 2025, or the freight data moving through Hartsfield-Jackson. For a payments warehouse we'd agree with your QSA which card data has to land at all, because a masked column is still stored and still in− - [Who are good Dynamics 365 Business Central partners for a manufacturer?](https://www.techfabric.com/expertise/microsoft-dynamics-365): TechFabric, founded in 2017 and headquartered in Gilbert, Arizona, is a Microsoft Solutions Partner and an Insight Works partner that implements Business Central for the warehouse and the shop floor. Funko's warehouse system runs on Business Central, AmTab's orders reach Business Central from their store without anyone re-keying them, and Cyclic Materials enga− - [Databricks](https://www.techfabric.com/expertise/databricks): If you already run Databricks, there's usually one initiative that keeps slipping, often a migration off Snowflake or Synapse that stalled halfway while your own engineers were needed elsewhere. We pick it up and finish it in your workspace, and the people who scope the work are the people who build it. Eighty of our engineers hold Databricks certifications, inside a team of 115+ across Phoenix, Amsterdam, Dnipro and Hyderabad. Onc− - [AI development in Phoenix](https://www.techfabric.com/ai-development-phoenix): An AI development company in the Phoenix metro. Production agents, retrieval and workflow automation, built in Gilbert AZ for Phoenix, Scottsdale and Tempe.− - [MCP servers](https://www.techfabric.com/mcp-servers): techfabric.com's and the Databricks Field Guide's MCP servers, their tools and limits, and how to connect Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, GitHub Copilot CLI or OpenCode.− Every service, Databricks, AI, cloud, custom software, expertise, industry, product, accelerator, case study and blog page has one. So do the three location pages, the section indexes, /faq, /how-we-work, /team, /contact, /user-groups, /brand, /mcp-servers and /durable-execution. The exceptions are the category and author indexes and the three legal pages, which are lists of links or boilerplate and carry no argument of their own.− - https://www.techfabric.com/blog/testing-the-tests-databricks-kill-matrix.md− Both of TechFabric's MCP servers, every tool and resource, the rate limits and the setup for Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, GitHub Copilot CLI and OpenCode: https://www.techfabric.com/mcp-servers− https://www.techfabric.com/mcp is the same content as an MCP server (Streamable HTTP, protocol 2026-07-28; 2025-11-25 clients work too). Reading needs no sign-in: search, get_page (a page as Markdown with its FAQs), list_posts and get_services, plus site://llms.txt and site://page/{+path} as resources. Only published, indexable pages are there. The write tools need a TechFabric blog author's Microsoft sign-in; an anonymous client is challenged if it calls one. In Claude Code: claude mcp add --tr− https://databricks.techfabric.com/mcp is the Databricks Field Guide as an MCP server: public, read-only, no sign-in. Tools: search_guide, get_chapter (a chapter or one section with its code), get_code_examples, whats_new and list_chapters, plus fieldguide://llms.txt and fieldguide://page/{+path}. 60 calls a minute and 300 an hour per IP. In Claude Code: claude mcp add --transport http databricks-field-guide https://databricks.techfabric.com/mcp− 92 posts.− Topics: Databricks, Knowledge Share, Field Notes, AI/ML, Applied AI, Azure, Cloud, Thought Leadership, Temporal, Workflows, News, Dynamics 365, What We Do, Durable Execution, Design, React.− - [Testing the tests: a kill matrix for Databricks data quality rules](https://www.techfabric.com/blog/testing-the-tests-databricks-kill-matrix): Test Databricks data quality rules with deliberate defects. Use a kill matrix to expose missed cases and verify the action each check should trigger.− - [Embedded analytics on Databricks: one dashboard, not five](https://www.techfabric.com/blog/embedded-analytics-on-databricks-one-dashboard-not-five): Five client reports as five embedded dashboards meant five iframes and tokens per visit. Why we merged them into one AI/BI dashboard, and what it costs.− - [ElevenAgents Architect for live voice agents](https://www.techfabric.com/blog/elevenagents-architect-improve-voice-agents): ElevenAgents Architect drafts and tests fixes for a voice agent in production, so your engineers review changes instead of hunting for them.− - [Databricks Data Quality Gates: From Failed Checks to Blocked Releases](https://www.techfabric.com/blog/databricks-data-quality-gates): Turn Databricks quality checks into release gates. Validate a fixed candidate, block publication on failure, and preserve the previous approved data.− - [Securing long-term agent memory on Databricks](https://www.techfabric.com/blog/agent-memory-poisoning-databricks-validation): Databricks agent memory persists across conversations, so a wrong fact outlives the chat that created it. How we'd govern what enters a memory store.− - [Customer-held encryption keys on Azure Postgres Flexible Server](https://www.techfabric.com/blog/postgresql-flexible-server-cross-tenant-cmk): Cross-tenant customer-managed keys let a customer hold the key to their data in your Azure Postgres app. What that costs your team, and when to build it.− - [Gemini 4 Argon pricing for AI agents](https://www.techfabric.com/blog/gemini-4-argon-what-to-do-this-quarter): Argon's token price doubles on December 1. Test it against your current model by replaying real past tasks, judging blind and comparing cost per finished task.− - [Azure Databricks private network gateway for serverless compute](https://www.techfabric.com/blog/azure-databricks-private-network-gateway-serverless): Azure Databricks private network gateway gives serverless one path into your VNet and on-premises network. How we'd pilot it, and what we'd wait on.− - [When Azure PostgreSQL needs a backup vault](https://www.techfabric.com/blog/azure-backup-postgresql-flexible-server-vaulted-preview): Azure's built-in PostgreSQL backups stop at 35 days and outlive a deleted server by five. Which production databases need a Backup vault, and what it costs.− - [Governing AI agents with Databricks and Temporal](https://www.techfabric.com/blog/govern-ai-agents-databricks-temporal): How Unity Catalog and Unity Gateway limit what an AI agent can do, how metric views and Genie Ontology define its metrics, and why we run agents on Temporal.− - [MCP Events and Temporal for agents that react to events](https://www.techfabric.com/blog/mcp-events-agents-temporal-workflows): MCP Events let a customer's agent subscribe to your platform and act the moment something changes. Where Temporal and Databricks belong behind it.− - [Responsive joins Databricks: what Lakebase gains](https://www.techfabric.com/blog/responsive-joins-databricks-lakebase-neon): Responsive, the SlateDB team, is joining Databricks. Which Lakebase limits that should lift, judged against the ceilings we design around in client work.− - [Programmatic SEO with AI agents, the white-hat way](https://www.techfabric.com/blog/programmatic-seo-google-spam-update-2026): How to scale content with AI after Google's September 2026 spam update without doorway pages or scaled content abuse, and what kept our city pages indexed.− - [OpenCode 2.0 and the open harness as a service](https://www.techfabric.com/blog/opencode-2-0-open-harness-for-coding-agents): Your coding agents' token bill keeps growing? What OpenCode 2.0 changes, and the config we'd commit to route routine work to cheaper open-weight models.− - [Muse Wonder: Meta's frontier models for agents](https://www.techfabric.com/blog/muse-wonder-meta-frontier-models-agents): Meta's Muse Wonder claims to pause before risky actions and remember context across sessions. What that would change for approval gates on production agents.− - [A shared, network-safe web reader for AI agents](https://www.techfabric.com/blog/fabric-harness-cloudflare-web-tools): If your AI agents read web pages, a link somebody else chose can reach your internal network. What that hole looks like, how to close it, and what's still open.− - [A DuckDB view-only catalog over Delta Lake](https://www.techfabric.com/blog/duckdb-view-only-catalog-over-delta-lake): DuckDB can ship a few hundred KB of view definitions over a Delta Lake. Where we'd use it on client work, and the Unity Catalog line we would not cross.− - [Cloudflare's new web search and web fetch tools for AI agents are impressive. Here's why we switched](https://www.techfabric.com/blog/cloudflare-web-fetch-ai-agents): Why our AI agents switched to Cloudflare's web search and web fetch the day after launch, and what it fixed in our fact-check.− - [BC data mirroring to Fabric: what changes this quarter](https://www.techfabric.com/blog/business-central-fabric-data-mirroring-what-changes): Business Central can now copy any table into Microsoft Fabric for reporting, with no export or pipeline to maintain. Who should move, and where it stops.− - [Agent 365 plus API Management: MCP tool governance you can actually enforce](https://www.techfabric.com/blog/agent-365-api-management-mcp-governance): Microsoft's Agent 365 and Azure API Management preview let you decide, in one place, which company tools your AI agents can use. Who should care, and the cost.− - [Embedded analytics on Databricks, part 2](https://www.techfabric.com/blog/embedded-analytics-on-databricks-part-2): Five datasets per board meant five copies of the same query on every filter click. The rule we use now, and the three places it breaks.− - [AI decision models compared: Jev, Clef, Kev, Microsoft](https://www.techfabric.com/blog/ai-decision-models-compared-jev-clef-kev-microsoft): Which AI model should make your software's quick calls, like routing a ticket or approving a draft? Jev, Clef, Kev and Microsoft-Decision-1 compared.− - [Supermemory for per-user AI agent memory](https://www.techfabric.com/blog/supermemory-agent-memory-retrieval): How TechFabric would use Supermemory for agent memory on client work. Which memories belong in it, what decides the bill, and the defaults we'd change.− - [Databricks bought Row Zero: spreadsheets on live data](https://www.techfabric.com/blog/databricks-row-zero-live-governed-spreadsheets): What the Row Zero acquisition means for finance teams living on exports from Business Central and a CRM, and what is announced but not yet shipped.+ > TechFabric is a data and AI engineering firm. When the orders are in Business Central, the sales pipeline is in Salesforce and the reconciliation is in a spreadsheet, we bring it together, build the reports finance and operations both believe, and put AI assistants and agents to work on it. We work on Databricks, Azure, AWS and Google Cloud. Senior engineers who embed in your team or own delivery as a pod. Founded in 2017 by engineers. 115+ engineers across four offices: Gilbert, Arizona (head+ - [How do I choose an AI development company for a production AI system?](https://www.techfabric.com/ai/development): TechFabric is an AI development company founded in 2017 and headquartered in Gilbert, Arizona, with 115+ engineers across four offices. Whichever firms you compare, ask each to show you an AI system it runs in production today, how it scores whether a change made that system better, and what it would cost to run each month at real volume. Two of ours run in production today: an A+ - [Who are good Databricks consulting firms for a mid-sized company?](https://www.techfabric.com/databricks/consulting): TechFabric is a Databricks partner and consulting firm in Gilbert, Arizona, founded in 2017, with 115+ engineers across four offices: Gilbert, Amsterdam, Dnipro and Hyderabad. Eighty are Databricks-certified, and in September 2026 one of our engineers placed second in Databricks' own Genie-Powered App Challenge. We moved Location Services off Synapse and SQL Server onto Databr+ - [Where can I hire an experienced Databricks expert?](https://www.techfabric.com/databricks/hire-engineers): From TechFabric, a Databricks partner in Gilbert, Arizona, with three more offices in Amsterdam, Dnipro and Hyderabad. Eighty of our engineers are Databricks-certified, and you can hire one onto a roadmap your team owns or a team with its own lead. The first call is about the work rather than a resume, meaning what the engineer would own, whose review their pull requests go through, and + - [Who can help a company set up Unity Catalog governance on Databricks?](https://www.techfabric.com/databricks/unity-catalog): TechFabric is a Databricks partner headquartered in Gilbert, Arizona, with 80 Databricks-certified engineers among 115+ across four offices. We design the catalogue and schema structure, build grants on groups so that joining a team is what changes someone's access, migrate tables off the Hive metastore, and make applications and agents inherit those permissions rather + - [Which companies offer Databricks data engineering services?](https://www.techfabric.com/databricks/data-engineering): TechFabric is a Databricks partner whose 80 Databricks-certified engineers build Lakeflow pipelines and repair the ones that half-finish. Location Services is the study to read first: we converted their warehouse and ETL off Synapse and SQL Server onto Databricks in reversible waves, and TotalLoop's operational store moved onto Lakebase beside the lakehouse. Most engagements s+ - [Who are good Databricks consulting partners for a company in Atlanta?](https://www.techfabric.com/databricks-consulting-atlanta): TechFabric is a Databricks partner, and in Atlanta we'd expect the work to be a card processor's warehouse along GA 400, under PCI DSS version 4 in full since 31 March 2025, or the freight data moving through Hartsfield-Jackson. For a payments warehouse we'd agree with your QSA which card data has to land at all, because a masked column is still stored and still in+ - [Who are good Dynamics 365 consulting firms for a mid-sized company?](https://www.techfabric.com/expertise/microsoft-dynamics-365): TechFabric, founded in 2017 and headquartered in Gilbert, Arizona, is a Microsoft Solutions Partner for Data & AI (Azure), Digital & App Innovation (Azure) and Infrastructure (Azure). We implement Dynamics 365 Business Central and Dynamics 365 CRM for Sales and Customer Service, then build the Power BI reporting, Power Automate workflows and document processing ar+ - [Who are good Dynamics 365 Business Central partners for a manufacturer or distributor?](https://www.techfabric.com/expertise/business-central): TechFabric, founded in 2017 and headquartered in Gilbert, Arizona, is a Microsoft Solutions Partner and an Insight Works partner that implements Business Central for the warehouse and the shop floor. Funko's warehouse system runs on Business Central, AmTab's orders reach Business Central from their store without anyone re-keying them, and Cyclic Mater+ - [Which Power BI consulting firms are good for a mid-sized company?](https://www.techfabric.com/expertise/power-bi-consulting): TechFabric builds Power BI from the semantic model up: each measure is agreed once with whoever owns that number, and every report reads it, whether the data comes from Business Central, Dynamics 365 CRM or Databricks. We're a Microsoft Solutions Partner, founded in 2017 and headquartered in Gilbert, Arizona. For AZP Multifamily, a family-owned supplier, the Power BI d+ - [Automotive](https://www.techfabric.com/industries/automotive): Applications wait in a queue while someone re-keys the deal from the dealer's system into the lender's, and a funding delay loses the deal. Our engineers join your team and build the software that takes those steps out, with a Databricks platform that keeps dealer, lender and recovery data in one place.+ - [Databricks](https://www.techfabric.com/expertise/databricks): If you already run Databricks, there's usually one initiative that keeps slipping, often a migration off Snowflake or Synapse that stalled halfway while your own engineers were needed elsewhere. We pick it up and finish it in your workspace, and the people who scope the work are the people who build it. Eighty of our engineers hold Databricks certifications, inside a team of 115+ across four offices, in Gilbert, Amsterdam, Dnipro a+ - [Business Central](https://www.techfabric.com/expertise/business-central): Month-end still closes in spreadsheets, the warehouse types in what it picked after the fact, and the partner who set up Business Central has stopped calling back. Our Business Central consultants set the system up around how your warehouse moves stock and how finance closes the month, move your data across from the old system, and stay to support it after go-live. TechFabric is a Microsoft Solutions Partner. Funko's wa+ - [Accessibility](https://www.techfabric.com/expertise/web-accessibility): A customer can't finish checkout with a screen reader, a procurement questionnaire asks for WCAG 2.1 AA, or a demand letter cites the ADA, and nobody on your roadmap is free to fix it. Our engineers and designers join your team, audit the application against WCAG 2.2 AA, and fix what they find in the code and the design system, so the fix holds when the next feature ships. We built WCAG 2.1 AA compliance for nmbtc.com, th+ - [AI development](https://www.techfabric.com/ai/development): The agent worked in the demo, then security asked what it could read, finance asked what it would cost at volume, and the pilot stopped there. TechFabric is an AI development company of senior engineers, and we build what gets it past those questions. Our agents, assistants and workflows run under your own permissions, pick up where they stopped after a restart, and are scored on every change, so you can tell whether a new version is+ - [Databricks partner](https://www.techfabric.com/databricks/partner): A Databricks partner is a firm in Databricks' partner program, and the badge says nothing about who'll be in your workspace when the migration stalls or the agent pilot has to reach production. TechFabric is a Databricks partner with 80 Databricks-certified engineers in a team of 115+, and the engineers who scope your work build it, from the migration and the Unity Catalog grants to the apps and agents on top.+ - [AI development in Phoenix](https://www.techfabric.com/ai-development-phoenix): An AI development company in Gilbert, Arizona. Agentic AI, cited retrieval and workflow automation on Databricks, for companies across Phoenix and Arizona.+ - [MCP servers](https://www.techfabric.com/mcp-servers): TechFabric's two MCP servers, techfabric.com's, which our engineers use to write blog posts and case studies from the coding agent they already use, and the Databricks Field Guide's; their tools and limits, how to connect Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, GitHub Copilot CLI or OpenCode, how TechFabric authors set up their AI harness to write and publish (Claude Code's plugin, Claude Desktop and claude.ai, Cha+ - [Databricks Developer Hub (DevHub) & Toolkit Chrome extension](https://www.techfabric.com/databricks-toolkit): TechFabric's free, read-only Databricks Developer Hub (DevHub) Chrome extension for workspaces on AWS, Azure and GCP. Opens beside any Databricks tab to show Unity Catalog table lineage, system.access.audit DDL history and 90-day reader counts, Delta health checks via DESCRIBE DETAIL, failed job run triage and run diffs, 30-day DBU cost from system.billing.usage, 7-day SQL warehouse a+ - [GABRL partnership](https://www.techfabric.com/partners/gabrl): secure connectivity for Databricks and AI workloads. TechFabric builds the platform, AI agents and software, and GABRL by DEVIS, a post-quantum zero-trust network overlay, connects them to plants, partners, acquisitions and private systems without VPN hardware.+ Every service, Databricks, AI, cloud, custom software, expertise, industry, product, accelerator, case study and blog page has one. So do the three location pages, the section indexes, /faq, /how-we-work, /team, /contact, /user-groups, /brand, /mcp-servers, /databricks-toolkit, /partners/gabrl and /durable-execution. The exceptions are the category and author indexes and the three legal pages, which are lists of links or boilerplate and carry no argument of their own.+ - https://www.techfabric.com/blog/how-we-test-that-auto-cdc-keeps-the-right-customer-record.md+ Both of TechFabric's MCP servers, every tool and resource, the rate limits and the setup for Claude Code, Claude Desktop, Codex, Cursor, VS Code, Gemini CLI, GitHub Copilot CLI and OpenCode: https://www.techfabric.com/mcp-servers. A TechFabric author's step-by-step setup in each AI harness, from adding the server and signing in to publishing, with the Claude Code plugin (claude plugin marketplace add Fabric-Pro/techfabric-claude-plugin && claude plugin install techfabric@techfabric): https://www+ https://www.techfabric.com/mcp is TechFabric's MCP server (Streamable HTTP, protocol 2026-07-28; 2025-11-25 clients work too), with 33 tools and 18 prompts. Its main use is writing: TechFabric's engineers draft blog posts and case studies from the coding agent they already use (get_brief, lint_draft, check_draft, submit_draft, update_draft, list_drafts, get_status, review_before_publishing, preview_draft, revise_post, start_post, check_outline, propose_edits, apply_edits, ask_author, social_post+ https://databricks.techfabric.com/mcp is the Databricks Field Guide as an MCP server (com.techfabric.databricks/field-guide 1.9.1 in the MCP Registry): public, read-only, no sign-in. Tools: search_guide (the guide sections that answer a Databricks question), get_chapter (a chapter or one section as Markdown, code intact), get_code_examples (SQL, Python, CLI and config blocks for a topic), whats_new (recent Databricks changes the guide tracks, newest first), list_chapters (the table of contents, + 117 posts.+ Topics: Databricks, Knowledge Share, Applied AI, Temporal, AI/ML, databricks, lakeflow, auto-cdc, bitemporal, insurance, delta, Machine learning, Field Notes, Azure, Cloud, Thought Leadership, Workflows, News, Dynamics 365, What We Do, Durable Execution, Design, React.+ - [How we test that AUTO CDC keeps the right customer record](https://www.techfabric.com/blog/how-we-test-that-auto-cdc-keeps-the-right-customer-record): A Databricks CDC flow can finish green and still keep a customer's old city or bring a deleted customer back. How we test ordering and deletes before release.+ - [How we catch wrong AI answers before they reach customers](https://www.techfabric.com/blog/how-we-catch-wrong-ai-answers-before-they-reach-customers): An AI step in a Databricks job can report success while tickets get no category or the wrong one. How we catch both before the results reach the support team.+ - [AI governance for lending and payments agents on Databricks](https://www.techfabric.com/blog/ai-governance-for-lending-and-payments-agents-on-databricks): Lenders ask whether AI agent controls come first or after the build. How AutoFabric puts risk, compliance and team ownership into each action on Databricks.+ - [Real-time loan data with Databricks Zerobus Ingest](https://www.techfabric.com/blog/real-time-loan-data-with-databricks-zerobus-ingest): Most lenders' fraud checks and examiner answers run on last night's loan data. How Zerobus Ingest gets it there in seconds, and where Kafka still fits.+ - [One grant model for tables, files and models in Unity Catalog](https://www.techfabric.com/blog/one-grant-model-for-tables-files-and-models-in-unity-catalog): Security reviews stall when nobody can say who reads which table, file or model. How Unity Catalog put all three under one set of grants at Location Services.+ - [Long-running AI agents in production with Temporal and Databricks](https://www.techfabric.com/blog/long-running-ai-agents-in-production-with-temporal-and-databricks): An agent that works for ninety seconds in a demo meets rate limits, crashes, deploys and overnight waits in production. How Temporal and Databricks handle each.+ - [Databricks CustomerLake: a customer data platform inside the lakehouse](https://www.techfabric.com/blog/databricks-customerlake-a-customer-data-platform-inside-the-lakehouse): CustomerLake builds Customer 360 profiles and audiences on data already in Databricks. What's in Beta, and the workloads we'd move to it first.+ - [Adding WebMCP beside our techfabric.com MCP server](https://www.techfabric.com/blog/adding-webmcp-beside-our-techfabric-com-mcp-server): WebMCP doesn't replace MCP. Using our own techfabric.com MCP server, we show which agent tasks belong on a server and which belong in an open web page.+ - [How we got structured output from Claude on Databricks](https://www.techfabric.com/blog/structured-output-from-claude-on-databricks-model-serving): Claude Sonnet and Opus 5.5 on Databricks return HTTP 400 for a response_format request. Why we moved Fabric's schemas into the prompt, and what that costs.+ - [How we built policy history that survives backdated endorsements](https://www.techfabric.com/blog/bitemporal-auto-cdc-for-backdated-policy-endorsements): A backdated endorsement can erase what an insurer's data showed before it. We built a Databricks pipeline that keeps both answers for audits and claims.+ - [How we test models trained on Databricks AI Runtime](https://www.techfabric.com/blog/training-your-own-models-on-databricks-ai-runtime): How to tell whether a model trained on your own data beats the one in production, what Databricks AI Runtime changes, and when training is worth it.+ - [Why we moved our coding agents' shared memory to Git](https://www.techfabric.com/blog/shared-coding-agent-memory-why-fabric-moved-toward-git-backed-sync): When each engineer's coding agent reads its own copy of the team's rules, the agents drift apart. How we keep one reviewed set of rules for every agent.+ - [Catching a false success in Databricks notebook CI](https://www.techfabric.com/blog/from-notebook-assertions-to-reliable-databricks-ci): A test can catch a broken data rule and the release still goes out green. We reproduced that false success and built a runner that stops it.
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