Kate Strachnyi

DATAcated

DATAcated® to helping clients share their stories through content creation and amplification. Providing custom 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for companies focused on innovating in the data science, machine learning, and artificial intelligence space.

Founder

Managing the DATAcated Speaker Hub, a platform dedicated to connecting top data, analytics and AI experts with event organizers. I oversee speaker recruitment, manage client relationships, and ensure a seamless booking process for in-person events & virtual conferences, webinars, and corporate events. Enabling speakers to expand their reach while helping event organizers find the perfect experts for their audiences. We also provide amplification services to spread the word about the events!

Manager of DATAcated Speaker Hub

Writing the 'Running DATAcated' book on substack - with a goal to turn the blog articles into a BOOK about the journey of running the media company + running / hiking adventures.

Running DATAcated Writer

You can find prior LinkedIn live shows (and future ones) on the DATAcated On Air podcast - https://anchor.fm/datacated

Podcast Host - DATAcated On Air

The DATAcated Expo will provide the community with an opportunity to explore and discover innovative technologies in data science & analytics.

Hear from expert speakers that will provide real-life case studies and demos of technologies across a variety of data science & analytics processes. Speakers will provide 10-min lightning talks and we’ll take questions from the live audience.

The presentations will be centered around the data analytics process and will take participants on a journey from identifying the business use case to collecting, cleaning, exploring, visualizing and ultimately communicating insights.  

This live event will provide several opportunities for networking and building relationships in the data community.

Host - DATAcated Expo

The conference is packed with incredible insights from the very best speakers!
Speakers will deliver 10 min ‘lightning’ talks and will stay on for a few minutes for some live Q&A.
The conference is hosted on LinkedIn Live and is FREE to attend!
We’ll have plenty of fun giveaways provided by our Community Partners.

Host - DATAcated Conference May 18-19, 2021

Run Wild AI

Co-Founder & Chief Marketing Officer

O'Reilly Media

Author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color

Author

LinkedIn

Having a strong personal brand can help you stand out from competitors and colleagues and attract relevant opportunities.

LinkedIn Learning Instructor

IADSS

Advisory Board Member

Deloitte

Chief of Staff - Head of Commercial Business

Program Manager | Data Analytics

Insights Strategy Manager & Tableau Developer

- Assessment of risk governance practices measured against relevant bank supervisory guidance and leading practices (e.g. Enterprise Risk Assessment Process, New Product Approval Process, Risk Reporting, Committee Structure, etc.)
 - Prepared periodic program status/progress reports. Assisting with building out roadmap of future phase deliverables and maintenance of project plans. Escalating issues & risks to ensure timely remediation
- Provided assistance with writing responses to regulatory letters (MOUs, MRAs, MRIAs)
- Developed an inventory for regulation W requirements (including Dodd-Frank Act impact), and assessed the applicability of the regulation to each business line within a large financial institution 
- Assisted large foreign banks with Foreign Enhanced Prudential Standards (FEPS) implementation (including Governance, Data, Risk Management, Implementation Plan, etc.,) 
 - Revised current or establishing new policies and procedures as well as ensuring that various departments/functions have relevant policies, procedures and guidelines which reflect current business practices

Manager, Risk Mgmt / Regulatory Compliance

Bank Leumi USA

- Involved in the establishment of the Operational Risk Policy & Procedures (per Parent Company guidelines, U.S. regulations, and Basel Directives)
- Provided assistance to Risk Champions on how to assess Operational Risk and how to use the Management of Operational Risk System (MOR)
- Risk Control Self-Assessment (RCSA)- took part in the establishment of methodology,  interviewing business units (surveys) and setting risk mitigation plans for High risk items
- Assisted CRO in quarterly reporting to the Risk Management Committee of the Board (Risk Dashboard)
- Assisted CRO on the annual submission of Internal Capital Adequacy Assessment Process (ICAAP)  
– Developed New Products Approval Procedure and New Products Committee Charter
Basel II/III - Performed gap analysis on Basel II & III Directives 
- Reviewed and revised Risk Management Manual Operating Procedures (MOPs)
- Participated in KMV Moody’s Project to calculate credit risk metrics (PD & LGD)
- Assessed and tracked audit items (Internal Audit, Parent Company, & Examiners)
Committee Participation 
- Participated on Operational Risk Management Committee & Basel ICAAP Steering Committee

Risk Analyst for Chief Risk Officer

Global Association of Risk Professionals

-Managed a sales process by qualifying prospects, establishing relationships & identifying opportunities. 
-Assisted with the planning and development of direct marketing and data-related projects. 
-Handled client relationship management process through the use of CRM tool (SalesForce) and used existing relationships for cross-selling opportunities.

Business Development

FGI FINANCE

Developing Credit Committee reports - financial statement analysis and accounts receivable aging report analysis to determine lending structure.

Underwriter

First Investors Financial Services

Involved in setting up appointments with prospects (cold calls), and creation/maintenance of client records using B.O.S.S. (CRM tool)

Financial Services Rep

DATAcated™ | Branding | DataIQ100 | Marketing | Media | ColorWise | DataVenger

Ask not what influencers can do for you… ask what happens when they’re DATAcated influencers!

YAY - I'm so excited that you saw my profile and wanted to get to know me better!

As the founder of DATAcated, I help companies amplify their brand and expertise in artificial intelligence, machine learning, and data science.  I'm a content creator with over 300k followers across LinkedIn, YouTube, Instagram, and other platforms. I also run a DATAcated Plus program with 35+ influencers that can be hired to 'make a splash' on social media.  Oh yea, I also manage the DATAcated Expert / Speaker Hub where we have over 50 engaging speakers and experts that you can hire for conferences, webinars, books, blogs, and more.

I have been recognized as a LinkedIn Top Voice in Data Science and Analytics and as a DataIQ USA100. I am also the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color (published with O'Reilly). 

Connect with me on social media and explore the DATAcated website for more resources and opportunities. datacated.com

DATAcated® to helping clients share their stories through content creation and amplification. Providing custom 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for companies focused on innovating in the data science, machine learning, and artificial intelligence space. 

This might be the group therapy we all need before 2026 AI planning starts.

Here’s the link to sign up: https://lnkd.in/ez6qrpSR

BARC just analyzed 421 organizations to find out what separates the top AI performers from everyone else.

The difference comes down to how companies operationalize AI, govern it, and measure actual results.

On Dec 3, 2025 (11am ET), BARC’s Shawn Rogers and Merv Adrian will unpack the findings from their Lessons from the Leading Edge study. They’ll be joined by:

Eleanor Treharne-Jones, CEO at Bigeye (data observability done right)

Jeff Fried, Director of Platform Strategy & Innovation at InterSystems (bridging architecture and outcomes)

Amandine Mely, Senior PreSales at Board (turning AI insights into real decisions)

Covering AWS re:Invent in Las Vegas. influencer marketing agency | data & AI content creation & amplification | speaker & expert placement

Onyx Data

Built and scaled a Microsoft Data & AI consultancy serving enterprise and public sector clients across the UK, UAE, and US.

Highlights:
Microsoft Fabric Featured Partner & Microsoft MVP (5x)
Delivered Azure AI-powered solutions across finance, education, and government
Launched FabOps – a Microsoft co-sell solution for Fabric observability
Enabled 3 enterprise clients to scale Fabric & Copilot across departments
Regularly featured at Microsoft Build, FabCon, and global MVP events

Founder / Chief Executive Officer

Forbes Technology Council

Thought Leader

As a LinkedIn Learning Instructor specialising in Data and Artificial Intelligence (AI), I am dedicated to creating and delivering high-quality educational content that empowers learners to advance their careers in data and AI. My role involves developing comprehensive courses, engaging with the learner community, and continuously updating course materials to reflect the latest industry trends.

Key Achievements:

- Expert Content Development: Created and delivered high-impact courses that received positive feedback and high engagement from learners.

- Curriculum Innovation: Developed innovative and comprehensive curriculam that facilitated structured learning paths for students, enhancing their understanding and application of data and AI concepts.

- Effective Knowledge Transfer: Simplified complex technical concepts, making them accessible and engaging for a diverse learner base, resulting in improved learner outcomes.

- Community Building: Fostered an active and supportive learning community through regular engagement in user groups, helping learners overcome challenges and succeed in their educational journeys.

- Continual Improvement: Actively sought and integrated learner feedback, leading to continuous improvement of course content and instructional methods.

The AI Journal

Contributor

AI4C

The key aim of the AI4C is to help charities embarking on AI/ML deployments with pro bono insights/advice - all in a confidential, collaborative sales-free, vendor neutral environment. 

Over 30 charities have joined and gained value with their strategic thinking, user stories, design, deployment and operations. 

AI 4 Good / Tech 4 Good 

If you are a charity leader looking to get the most for the people you serve, feel free to contact the AI4C Chair Paul Excell paul.excell@member.wcit.org.uk

Member

Global AI Hub

Brainz Magazine Official

Executive Contributor

Pomerol Partners

Partner

Reassured

Head Of Data And Insight (Freelance)

Redkite

Principal Power BI Consultant (Freelance) 

Microsoft MVP | AI & Fabric Specialist for Business Transformation | Helping Enterprises Unlock ROI with Azure, Copilot & Power BI | Forbes Tech | Keynote Speaker | CEO, Onyx Data

Your data shouldn't just inform decisions, it should transform your business.

I’m Leon Gordon a Microsoft MVP, keynote speaker, and founder of Onyx Data, where we help enterprises turn Microsoft Fabric, Azure AI, Power BI and Copilot into measurable ROI.

I’ve spent the past 13 years leading enterprise data and AI transformations. From being a hands-on technologist to now heading up a global team, I’ve seen how the right data strategy, aligned with business goals, drives massive ROI.

Clients turn to Onyx Data when they need:
• End-to-end Microsoft Fabric & Copilot implementations
• AI strategy and deployment with Azure OpenAI
• Power BI governance, optimisation & adoption frameworks
• Executive training to build data culture from the top down

Real-world outcomes we’ve delivered:
• £3M in new revenue from insight-driven selling
• 187.1% reduction in data latency
• 35% increase in data accuracy
• 50%+ boost in data literacy
• Featured by Microsoft at Build, FabCon, and global case studies

Recognitions:
• 5x Microsoft MVP
• Microsoft Data & AI Solutions Partner
• Microsoft Digital & App Innovation Partner
• Microsoft Fabric & Real-Time Intelligence Featured Partner
• Microsoft Training Services Partner
• LinkedIn Top Voice
• Founder of #DataDNA – global monthly analytics challenge

Featured by Microsoft at Build, FabCon, and global case studies. Speaker at top industry events across the UK, US, and Middle East.

Latest launch - FabOps – our co-sell-ready Fabric observability solution designed for enterprise-scale efficiency and impact → https://fabops.ai

👉 Ready to move beyond insights and into action?
→ Book a strategy call → https://bit.ly/46MgPHM
→ Try FabOps free → www.fabops.ai
→ Join 28,000+ global pros in #DataDNA → https://www.linkedin.com/groups/9075495/
→ Subscribe to my weekly AI and Data insights → https://www.linkedin.com/newsletters/ai-and-data-tech-trends-6933659594284023808?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base%3BxNISbSHFTkGWI32ogCOB4Q%3D%3D

Leon Gordon

Finally I can share this news with you all..


I was lucky enough to feature in Barclays’ new series "Working Lunch", where I, 
along with Barclays Business Banking expert Amy Morgan and the one-and-only superstar YouTuber WillNE (Will Lenney), help answer the question “how do you turn a side hustle into a business?”

We look at bootstrapping vs angel investors when starting out, and which is best for you.

Hope you enjoy it!

A massive thank you to Barclays for having me and my company Onyx Data.

The link to the episode is in the comments 👇

No alternative text description for this image

The client: "Can you just quickly throw together a report by EOD?"

The reality beneath the surface: 🛠️⚙️👇

It’s easy to forget that a seamless Power BI report isn't just drag-and-drop magic. It's a finely tuned engine of interconnected components.

This "engineering teardown" perfectly visualises the ecosystem we build daily.

1️⃣ It starts with raw materials (Connectors)
2️⃣ Gets processed in the factory (Power Query)
3️⃣ Is structured into a robust foundation (Data Model)
4️⃣ And finally, shipped out for consumption (Service, Mobile, Embedded)

If your "quick report" is slow, chances are the engine block (The Data Model) needs a tune-up.

Which part of this machine do you spend the most time wrenching on? Let me know in the comments. 👇

#PowerBI #DataEngineering #Analytics #Microsoft #BusinessIntelligence #DataViz

Turn Microsoft Fabric, Copilot & Azure AI into safe, real‑time business value in weeks, not months | Data & AI Transformation Leader @ Onyx Data | Microsoft MVP | Global Speaker | Forbes Tech Council

𝗧𝗵𝗲 "𝗢.𝗚." 𝗔𝗜 𝗩𝗶𝘀𝘂𝗮𝗹 𝗶𝘀 𝗗𝗲𝗮𝗱. 𝗟𝗼𝗻𝗴 𝗟𝗶𝘃𝗲 𝗖𝗼𝗽𝗶𝗹𝗼𝘁. 💀

It’s official... 
𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗤&𝗔 𝗶𝘀 𝗯𝗲𝗶𝗻𝗴 𝗱𝗲𝗽𝗿𝗲𝗰𝗮𝘁𝗲𝗱.

For years, we spent hours tuning synonyms and linguistic schemas to make Q&A work. That era is over.

Microsoft has announced that by 𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 2026, the Q&A visual will fully stop working. The future is 100% 𝗖𝗼𝗽𝗶𝗹𝗼𝘁.

- 𝗧𝗵𝗲 𝗕𝗮𝗱 𝗡𝗲𝘄𝘀: You have a hard deadline to migrate your existing Q&A reports.
- 𝗧𝗵𝗲 𝗚𝗼𝗼𝗱 𝗡𝗲𝘄𝘀: Copilot is vastly smarter, context-aware, and easier to manage than the old Q&A engine.

We break down the timeline and your migration checklist in our latest newsletter.

𝗖𝗹𝗶𝗰𝗸 𝘁𝗼 𝗿𝗲𝗮𝗱 𝗵𝗼𝘄 𝘁𝗼 𝗽𝗿𝗲𝗽𝗮𝗿𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗲𝗻𝗱 𝗼𝗳 𝗤&𝗔.

#PowerBI #Copilot #MicrosoftFabric #DataAnalytics #AI #Deprecation

The End of Legacy NLP in Power BI The Q&A Visual is Officially Dead. Copilot is the New Standard. Microsoft has announced the full deprecation of the 

Open article: Goodbye Q&A, Hello Copilot by Leon Gordon • 2 min read

Hardcoding Secrets? Stop It. 🛑

It is the #1 rule of secure data engineering... 𝗡𝗲𝘃𝗲𝗿 𝗵𝗮𝗿𝗱𝗰𝗼𝗱𝗲 𝘆𝗼𝘂𝗿 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻.

If your Fabric notebooks or functions contain lines like schema = "dev_db" or exposed API keys, you are creating a security risk and a deployment nightmare.

Microsoft Fabric just released Variable Libraries for User Data Functions, and it is the fix we've been waiting for.
- 𝗗𝗲𝗰𝗼𝘂𝗽𝗹𝗲 𝗖𝗼𝗱𝗲 𝗳𝗿𝗼𝗺 𝗖𝗼𝗻𝗳𝗶𝗴: Keep your logic clean and environment-agnostic.
- 𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Reference secrets securely without exposing them in source control.
- 𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝗖𝗜/𝗖𝗗: Swap values automatically as you deploy from Dev -> Test -> Prod.
- It’s time to mature your pipelines.

𝗖𝗹𝗶𝗰𝗸 𝘁𝗼 𝗿𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗩𝗮𝗿𝗶𝗮𝗯𝗹𝗲 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝘁𝗼𝗱𝗮𝘆.

#MicrosoftFabric #DataEngineering #DevOps #DataSecurity #Python

No more hardcoded secrets in your Fabric code. Preheader: Manage environment configurations securely with the new Variable Libraries for User Data Fun

Open article: Goodbye, Hardcoded Secrets - Variable Libraries for Fabric User Data Functions by Leon Gordon • 2 min read

Goodbye, Hardcoded Secrets - Variable Libraries for Fabric User Data Functions

Stop paying the "Spaghetti Tax" on your data architecture. 

The blueprint on the left isn't just messy, it's expensive, fragile, and slow. The Microsoft Fabric blueprint on the right is unified, efficient, and built for speed.

The gap between these two realities is smaller than you think, if you have the right vehicle.

Accelerate your move to the superhighway with our Onyx Fabric Accelerator. We have the methodology to get you there fast.

Better yet? You might not have to foot the bill.

Find out if your company is eligible for Microsoft funding to kickstart your Fabric migration with Onyx. 👇

Link for funding eligibility in the chat.

#MicrosoftFabric #DataAnalytics #CIO #DigitalTransformation #OnyxAccelerator

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗜𝗴𝗻𝗶𝘁𝗲 𝗔𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀 𝗰𝗮𝗻 𝗯𝗲 𝗰𝗼𝗻𝗳𝘂𝘀𝗶𝗻𝗴.

There are so many features to focus on.

- Agent mode
- App builders
- AI video creation
- Cross-app workflows
- Pricing tiers

There are definitely some features that matter more than others.

Here are my 5 key Copilot Microsoft Ignite announcements so far this week.

1. Agent capabilities that replace manual work - Excel agents now build full dashboards with one prompt. No sidebar tools needed. Charts, formulas, and insights appear automatically.

2. Seamless data flow between applications - Excel data becomes Word reports, then PowerPoint presentations. Three apps working as one workflow without exports or copying.

3. No-code app building that actually works - App Builder created a complete team ideas app in minutes. Changes happen through simple requests, not coding.

4. AI video generation with transparency - Sora 2 creates professional videos in seconds. Every output shows clear AI labels, keeping content honest.

5. Accessible pricing for small teams - At $21 per month for teams under 300, Copilot is finally within reach for businesses that couldn't afford the $30 tier.

And it is working for me.

The future of productivity isn't about learning every feature.

It's about knowing which ones actually change how you work.

If you’re planning how to roll this out responsibly, I’ve built a 2-week Copilot adoption playbook, complete with use cases, guardrails, and adoption steps.

👉 Comment “Copilot” and I’ll send it straight over.

Have you been keeping up with the Microsoft Fabric November updates?

Ignite happened this week and honestly, the pace of innovation is incredible.

I've just watched the latest update and there's a wave of features rolling out across the platform, from data engineering to Power BI and Copilot.

Here's what caught my attention:

1. Mirroring support for SQL Server, PostgreSQL, and Cosmos DB - bringing all your data straight into OneLake
2. Warehouse snapshots - giving analysts a consistent source of truth while ETL jobs are running
3. Data clustering in Fabric Data Warehouse - cutting query times from 40 seconds down to just 1 second
4. Read/write permissions in OneLake - enabling real collaboration without compromising governance
5. Copilot getting smarter - now identifying anti-patterns in your code and suggesting optimisations

The warehouse snapshots feature is particularly interesting. Imagine running hourly ETL jobs while your analysts query data without worrying about inconsistencies. The data engineer creates a snapshot, analysts query against it, and once ETL completes, the snapshot rolls forward seamlessly.

And the data clustering demo was impressive. same query, same data, but 97% less data scanned and a fraction of the CPU time used.

What strikes me most is how Microsoft is making Fabric more accessible without sacrificing governance or performance. Features like customer-managed keys at the workspace level and enhanced Copilot capabilities show they're thinking about both security and developer experience.

If you're working with data at scale, these updates are worth exploring.

Question - which of these November features are you most excited to try out?

Join our Microsoft Fabric - UK User Group for our latest webinar.

This session we are excited to announce our host Microsoft MVP Leon Gordon and co-host Microsoft MVP Pragati Jain will be introducing Microsoft MVP Andy Cutler.

Join the Microsoft Fabric UK - User Group on -

Microsoft Community - https://lnkd.in/dtrfGvy

LinkedIn - https://lnkd.in/dX_Ziaz

MeetUp - https://lnkd.in/d6wteZBn

Session Abstract -

Materialized Lake Views (MLVs) in Microsoft Fabric Lakehouses offer a declarative approach to building data loading and data materialization pipelines. This session introduces how MLVs simplify data loading piplines, automate refreshes, and visualize data loading lineage across the process. Attendees will learn how MLVs support integrated data quality rules, enabling trend analysis and alerting for violations, all without manual pipeline orchestration. We'll also cover current limitations and the roadmap for new feature support.

Biography

Andy Cutler is a Microsoft Azure Cloud & Fabric consultant, Data Platform MVP, and runs a UK consultancy Datahai. With over 20 years experience in Microsoft data technologies, Andy has worked with SQL Server, Azure Data Platform, Synapse Analytics Power BI, and Fabric.

Andy’s consultancy Datahai offers a range of services including assessments and reviews, architecture guidance, end-to-end data platform solutions, bespoke projects, training, & helps clients leverage existing technology investments, optimize costs and maximize the value of Azure, Fabric, & Power BI.

Social Media / Website Links

https://lnkd.in/eW69uSs9

Can Fabric Materialized Lake Views Deliver Low Effort Data Engineering?

“Most teams don’t have a technology problem, they have a clarity problem.”

Across conversations with CDOs and Data Platform Leads in the GCC, the story is the same:
Azure spend is rising, estates are fragmented, timelines are tight, and leadership wants ROI before the platform is even stable.

This isn’t a talent issue.
It’s a visibility issue.

When workloads scale faster than governance, dashboards explain what but not why, and Finance wants predictability you can’t yet provide, confidence drops quickly.

Modern Microsoft-first estates weren’t built for that level of pressure. Fabric, Azure governance, identity, cost, sovereignty… everything moves at once.

The teams winning today aren’t “faster.”
They’re clearer.

They put visibility before velocity.
They standardize workspaces before scaling.
They tie Azure costs to business outcomes.
They treat governance as an accelerator, not a blocker.

If you want to see what a 30-day clarity shift looks like, I’ve released a free Azure Cost Scorecard, the same one we use with leaders across UAE, KSA, Qatar, and Europe.

👉 Download the Azure Scorecard (First Comment)

No pitch. Just clarity.
Because sometimes that’s the real unlock.

#DataLeadership #MicrosoftFabric #AzureGovernance #CloudCostOptimization #OnyxData #CIO #CDO #DataStrategy #DigitalTransformation #AzureCosts #MicrosoftPartner

Azure Costs  Out of Control

𝗦𝘁𝗼𝗽 𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗡𝗲𝘄 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲𝘀 𝗝𝘂𝘀𝘁 𝗳𝗼𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆. 🛑

It used to be a hard choice: Give developers access to everything in the Lakehouse (risky), or split your data into tiny, fragmented Lakehouses (messy).

Microsoft just fixed this with OneLake ReadWrite Permissions.

You can now grant granular "Read/Write" access to specific folders or schemas within the same Lakehouse.

- 𝗗𝗲𝘃𝘀: Can write to Staging and General.
- 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Can lock down Finance and HR.
- 𝗥𝗲𝘀𝘂𝗹𝘁: One unified Lakehouse, zero data sprawl.

This is the governance update we've been waiting for.

Click to read the full newsletter on how to architect a Unified Lakehouse.

#MicrosoftFabric #OneLake #DataGovernance #DataEngineering #CyberSecurity

One Lakehouse to rule them all? Finally possible with new permissions. Microsoft released "ReadWrite" permissions for OneLake. Here is how to secure y

Open article: Stop the Sprawl - Granular Security for OneLake is Here by Leon Gordon • 2 min read

Stop the Sprawl - Granular Security for OneLake is Here

We spend too much time looking at the shiny dashboard and not enough time looking at the engine block. 

The Microsoft Data & AI ecosystem isn't magic; it's heavy industrial machinery.

It’s easy to forget that a seamless Power BI report, a unified Fabric estate, or a smooth Copilot experience aren't just single applications. They are complex assemblies of interconnected components, pipelines, and governance layers.

If you just treat the surface, you'll never build a resilient foundation.

So, I decided to visualize the stack differently. I wanted to strip away the slick UI and see the blueprints underneath.

Introducing my concept for "Microsoft Data & AI: The Disassembly Manual." 

Swipe through this carousel ➡️ to see the exploded-view engineering diagrams of the tools we use every day:

Slide 2: Power BI. It’s not just a drawing tool. See how the Data Connectors feed the Power Query transmission, which powers the critical Data Model engine.

Slide 3: Microsoft Fabric. The ultimate convergence machine. Visualize how distinct Synapse compute engines dock onto the unified foundation of OneLake.

Slide 4: Copilot & Azure AI Foundry. The "iceberg illusion." The simple chat interface at the top is supported by massive infrastructure for orchestration, safety, and model management below.

This is the architecture required for true enterprise intelligence.

Which one of these "machines" are you spending the most time wrenching on these days? Let me know in the comments 👇

♻️ Repost if you think these blueprints would help explain the architecture to your stakeholders!

#MicrosoftFabric #PowerBI #AzureAI #DataEngineering #DataArchitecture #TechViz #Microsoft #Copilot #BigData

Microsoft Data & AI The Disassembly Manual

Dataverse is No Longer an Island. 🏝️

Moving data out of Dynamics 365 or Dataverse for downstream apps has always been... painful. API limits, complex delta logic, and slow performance were the norm.

Microsoft just validated a new pattern that changes the game - 𝗙𝗮𝗯𝗿𝗶𝗰 𝗟𝗶𝗻𝗸 + 𝗖𝗼𝗽𝘆 𝗝𝗼𝗯.

1. Sync Dataverse to OneLake automatically (Zero ETL).
2. Copy from OneLake to any destination (SQL, KQL, Cross-Tenant) with full CDC support.

This means you can replicate your ERP data to an external SQL database in near real-time, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮 𝘀𝗶𝗻𝗴𝗹𝗲 𝗹𝗶𝗻𝗲 𝗼𝗳 𝗰𝗼𝗱𝗲.

We break down the 2-step pattern in our latest newsletter.

𝗖𝗹𝗶𝗰𝗸 𝘁𝗼 𝗿𝗲𝗮𝗱 𝗵𝗼𝘄 𝘁𝗼 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝘃𝗲𝗿𝘀𝗲 𝗶𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 𝘁𝗼𝗱𝗮𝘆.

#MicrosoftFabric #Dataverse #Dynamics365 #DataEngineering #LowCode

Moving Dataverse data just got easier (and smarter). Use Fabric Copy Job to replicate Dataverse changes to SQL, KQL, and more with zero code. What's N

Open article: Replicating Dataverse to Any Destination with Copy Job by Leon Gordon • 2 min read

Replicating Dataverse to Any Destination with Copy Job

Most data teams aren’t struggling because of skill.

They’re struggling because of complexity.

Pipelines with too many moving parts.
Manual fixes that eat entire mornings.
That constant feeling of: “We’re one error away from another fire drill.”

If you’re leading a data team, you’ve lived this:

- Late-night messages when a job fails
- “Quick requests” that are anything but
- Pressure to deliver faster with zero tolerance for mistakes

Here’s the part we rarely say out loud:

It’s not the work that’s breaking teams.
It’s the invisible steps, dependencies, and rework behind the scenes.

That’s where Copilot for Data Factory actually matters.

Not because it magically “automates everything”…
but because it strips away the friction that slows everyone down.

When complexity drops, your team finally gets space to:

- Think instead of react
- Design instead of patch
- Deliver outcomes instead of chasing errors

This isn’t about replacing people.
It’s about giving them their bandwidth back.

If your team could use more clarity in how they build and run pipelines, comment “CLARITY” — I’ll share examples, frameworks, and real-world Copilot for Data Factory workflows that actually help.

#DataLeadership #DataTeams #AIinData #MicrosoftCopilot #DataFactory #DataEngineering

Your data team isn’t overwhelmed…

Everyone sees the smooth interface of Microsoft Copilot at the top (#5). 💬✨

Very few see the massive industrial machinery required to run it underneath.

This engineering teardown perfectly visualises the reality of enterprise Generative AI. It’s not just calling an API. It's an integrated ecosystem known as Microsoft Foundry.

Look at what supports that simple chat window:

- A foundation of diverse models (#2)
- Complex orchestration logic via Prompt Flow (#3)
- Crucial guardrails for AI Safety and Evaluation (#4)
- End-to-end Management & Governance (#6)

If you are building your own "Copilot," are you just focusing on the screen at the top, or are you engineering the foundation beneath it?

#GenerativeAI #MicrosoftCopilot #AzureAIFoundry #LLMs #ArtificialIntelligence #MachineLearning

Let's finish the year strong!

Delighted to wrap up 2025 as the guest judge for the #DataDNA dataset challenge!

We are excited to announce that the December 2025 DataDNA - Dataset Challenge is LIVE!
 
Each month, we release a real-world dataset challenge that gives you the opportunity to:
✅ Practice analytics and data visualisation
✅ Showcase your work publicly in your own portfolio
✅ Compete and compare with a global community
✅ Get featured for top entries
✅ Win exclusive rewards and recognition in our new Global Leaderboard!
 
Ready to Get Started?
 
Head over to 👉 https://lnkd.in/giVVK3BF
 
This month we are visualising the Animal Shelter Operations Analytics.
 
1st place Wins 2 eBooks from Packt The Data Analytics Interview Software worth $500!
 
The winners will be selected based on how they visualise the data, define key indicators, find insights, and define calculations and metrics.
 
The prizes are amazing, including Amazon Vouchers for the ZoomCharts Mini Challenge, Data eBooks and much more.
 
We look forward to seeing your entries in this month’s #DataDNA challenge!
 
Challenge sponsors are Packt, ZoomCharts, AzureLearn AI Community, and Smart Frames UI.
 
Our guest judge for this month’s challenge is Leon Gordon!
 
Thank you to challenge founder Leon Gordon and our DataDNA Ambassador team Juliana Smith, Kavita Behera, Nazrin C.A, Santhana Lakshmi Ponnurasan, Sneha Srinath, Mariska van Kan and Tony Cua for the continued support of the community.
 
The deadline to participate in this month’s challenge is 16th December 11:59pm UK with the winner being announced on 19th December.
 
Check out the competition regulations and submit your entry by the deadline.
 
We can’t wait to see your amazing visualisations!

#excel #powerbi #qlik #tableau

Onyx Data DataDNA Challenge - December 2025

Join our Microsoft Fabric - UK User Group for our latest webinar.

This session we are excited to announce our host Microsoft MVP Leon Gordon and co-host Microsoft MVP Pragati Jain will be introducing Microsoft MVP Thomas Martens.

Join the Microsoft Fabric UK - User Group on -

Microsoft Community - https://lnkd.in/dtrfGvy

LinkedIn - https://lnkd.in/dX_Ziaz

MeetUp - https://lnkd.in/d6wteZBn

Session Abstract -

In this session, I'll provide a comprehensive introduction to Microsoft's latest analytical superpower—Microsoft Graph.

We'll start by exploring the fundamental ingredients of graph databases: nodes (your data entities) and edges (the relationships that connect them). I'll demonstrate how to combine these elements and add various "flavors" using GQL (Graph Query Language)—the newly standardized ISO query language that's making graph operations more consistent and portable across platforms. Spoiler alert: it's way more intuitive than wrestling with complex SQL joins that look like they were designed by someone who really, really loved parentheses.

To bring everything together, I'll showcase hands-on demos that illuminate the practical differences between these database approaches and demonstrate the impressive analytical capabilities of Microsoft Fabric Graph. You'll see real-world scenarios where graph analytics reveals insights that would be practically impossible (or at least incredibly painful) to extract from traditional tabular data.

This session is designed for both developers and architects, offering a dual perspective that balances the technical nitty-gritty with strategic architectural considerations. You'll gain practical insights into working with GQL tooling while also understanding the business challenges Microsoft Fabric Graph will solve.

Whether you're considering adding graph capabilities to your data platform or just curious about what all the graph hype is about, this session will equip you with the knowledge to make informed decisions and maybe even impress your colleagues at the next team meeting.

Social Media / Website Links

linkedin: https://lnkd.in/ecURcpxi

X: https://x.com/tommartens68

blog: https://lnkd.in/emHC_-Te

🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://lnkd.in/eghYFYpb

Microsoft Fabric UK - Graph in Microsoft Fabric - an Introduction

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The Battle

Kate Strachnyi

Leon Gordon

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Posts

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Performance ScoreKate Strachnyi's LinkedIn Performance

Performance ScoreLeon Gordon's LinkedIn Performance

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taplio

The Battle

Kate Strachnyi

Leon Gordon

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Kate Strachnyi's LinkedIn Performance

Performance ScoreLeon Gordon's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreKate Strachnyi's LinkedIn Performance