Technical Leadership Centred Around the Microsoft Data Platform
Meeting with Zhamak at Big Data London On 21st Sept 2022 I attended the first day of the Big Data London (BDL) conference held at the London Olympia. My main reason for travelling to the conference was simple, to see and speak with Zhamak Dehghani. In short, objective achieved, including clearing the air from those … Continue reading Building a Data Mesh Architecture in Azure – Part 14 – Anti Patterns
Azure Data Factory & Azure Synapse Analytics Pipeline Training Get your tickets for more in person training with me this October. Limited places available, don't miss out. Azure Data Integration Pipelines: Fundamentals to Level 300 When: Monday, 10th October Where: Lamot Conference & Heritage Centre - Mechelen, Belgium Host: dataMinds Connect Tickets: https://tickets.datamindsconnect.be/ Azure Data … Continue reading Training Events in October 2022
I feel like I've mentioned this collateral to loads of people, but only recently releaised that I've never actually blogged about it! So, just a quick post to help anyone that likes Visio and drawing pictures. In short, my brains works best with pictures. I like drawing architecture diagrams and can represent almost anything visually … Continue reading Visio Stencils – For the Azure Solution Architect
Should Data Domains Be More Than a Simple Structure? Spoiler alert... Yes... Based on my experience. Read all blog posts in the Data Mesh vs Azure series via this link. Context Defining an organisation hierarchy is always hard, even more so for large enterprises with massive amounts of interlock between business functions. In the context … Continue reading Building a Data Mesh Architecture in Azure – Part 13 – How To Organise Data Domains In Practice
Creating a Data Mesh - First Steps and Delivery Roadmap Read all blog posts in the Data Mesh vs Azure series via this link. Background A common question I get asked a lot when creating a data mesh architecture is where to start? The consultant in me defaults the answer to 'it depends', of course … Continue reading Building a Data Mesh Architecture in Azure – Part 12 – Where to Start?
DataIQ 100 - 2022 On Wednesday 6th July I attended my first DataIQ event. A small group closed event, by invitation only, and all about networking with C-level business leaders from various industries. These great minds had come together to celebrate some of 'the most influential people in data'. By contrast, the conferences I normally … Continue reading My First DataIQ Event
Just a quick post friends. As you may already be aware, with my friend and now Avanade colleague Richard Swinbank (@RichardSwinbank), we are at it again. Following the success and enjoyment of collaborating on Richard's book 'Azure Data Factory by Example', previously blogged about here. We decided to engage with O'Reilly on a new project, … Continue reading Learning Azure Synapse Analytics – Early Release
Kasper On BI Podcast Interview Context A few weeks ago I had with pleasure of speaking with Microsoft's Kasper de Jonge (@Kjonge) as part of an interview for his own podcast 'Kasper on BI'. We started out with the following talking points, but generally let the conversation flow given our collective experience in the industry. … Continue reading Building a Data Mesh Architecture in Azure – Part 11 – Let’s Recap
Defining What Isn't a Data Product - Data Pretenders rather than data products Background In part 8 of this blog series I explored the definition of a data mesh data product. Following several comments and feedback it now seems like a good idea to also address what is not a data product. As the saying … Continue reading Building a Data Mesh Architecture in Azure – Part 10 – What is NOT a Data Product?
My Thoughts Following MSBuild 2022 The MSBuild conference was excellent. The effort Microsoft put into making the experience work across time zones, in different languages and hybrid (in person/online) so very evident. My hat off to the organisers! The Data Annoucements During the keynote at MSBuild we were introduced to the Microsoft Intelligent Data Platform. … Continue reading The Microsoft Intelligent Data Platform
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