Craig Porteous
Data Platform MVP | Associate Head of Data Engineering @ Advancing Analytics| DATA:Scotland event founder | He/Him.
Glasgow, United Kingdom
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I bring data and automation together. I love to learn and share what I learn with the technical community. I enjoy running and live for my family. He/Him
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Zero to Lakehouse in Microsoft Fabric
Fabric is Microsoft's unified software as a service data platform built around the Data Lakehouse architecture but do you create a Lakehouse, or a Warehouse, or both? How does it all fit together and how can you get the most out of it?
In this session I'll explain what all the components of Microsoft Fabric are, a few architecture patterns you can follow to get what you need, and demonstrate how you can bring them together to build a full data Lakehouse platform without ever touching an Azure resource. You will leave this session with a good understanding of Fabric, it's capabilities, and how you can use it.
Implementing a medallion architecture in Fabric
This session explores the Medallion Architecture with Fabric Lakehouses, creating a dynamic and powerful framework for modern data-driven enterprises.
The Medallion Architecture introduces a holistic approach to data orchestration, blending best practices from data lakes, data warehouses, and data pipelines. When combined with the Lakehouse paradigm, it unlocks a world of possibilities for organisations to ingest, process, and analyse data at scale while maintaining data quality, governance, and security.
Fabric Automation: Unlocking the power of the API
Fabric is designed to be simple and easy to use but creating your Fabric items manually is no fun (and prone to human erorr).
It's easy to see from the regular updates on the Fabric blog that Microsoft have been investing heavily in the API capabilities in Fabric so what's all the fuss about and how can you take advantage of all of these background developments. Unlock the power of automation with Fabric's extensive array of API endpoints.
In this session we'll explore the full suite of API capabilities in Fabric, how to get started and run through a real world scenario using the API. We'll have you provisioning architectures and managing your estate in no time.
Fabric and Databricks: Better together?
Fabric is Microsoft's new unified data platform and with it brings many questions of which platform to choose, where does Databricks excel, What makes Fabric the right choice?
But it doesn't have to be a binary choice. Rather than thinking about which route to take, You can enrich your Databricks Data Lakehouse with Microsoft Fabric, taking advantage of Fabric's key features such as lightning fast Direct Lake connectivity from your Delta Lake to Power BI.
In this session we will deep dive into the synergistic relationship between Azure Databricks and Microsoft Fabric. Together these platforms can deliver performance and value in data analytics. We'll explore architecture patterns to enhance and augment your existing Databricks Lakehouse allowing you to fully harness key features in Fabric all built upon the same robust storage of Delta Lake.
We will also explore how the close integration of these platforms can lead to improved analytics capabilities, and ultimately, better business insights. Whether you are an analytics engineer looking to get the most out of your data, or a business leader seeking to drive data-driven decision making, this session will provide valuable insights into maximizing the potential of your data platform by bringing Azure Databricks and Microsoft Fabric together
Designing for a Data Mesh in Microsoft Fabric
With Fabric, Microsoft have built a complete Software as a Service Data platform following Data Lakehouse architecture principles. Then they've wrapped it in the governance of a Data Mesh architecture. What do you need to bring the two together or is it just a pipe dream?
In this session I'll talk about how Fabric provides the technological platform for implementing a Data Mesh and then explore the people and the process aspects that define the core of implementing a successful data mesh approach.
Data sharing without the USB sticks - an intro to Fabric External Data Sharing
Sharing any data is fraught with risk - who has access, what are we actually sharing, how long have we been sharing that!!?? Oh and...leaving that USB stick on the train!
Thankfully there are better ways to share and collaborate on your data, at scale and securely that don't involve a USB stick.
In this session we'll explore how to do this in Microsoft Fabric using OneLake external data sharing. We'll explore its benefits, drawbacks, and alternatives such as Delta Sharing using Databricks. I'll share potential blockers to making use of these amazing technologies and touch on ways to extend these where security is the absolute priority.
Why the Lakehouse?
Everyone's talking about data Lakehouses but what is a Lakehouse other than a nice place to go fishing? Why do you need to know about the lakehouse architecture, whats the benefits and is it all just hype?
In this session I'll cover what the Data Lakehouse architecture is, where it fits against existing architectures like a data warehouse, and why you should build one. We'll also cover the underlying technology options to arm you with all of the information you need to plan your next data platform.
Designing Data Architectures that InfoSec will actually approve
Building your data platform in the cloud is easy, but as soon as that dreaded word "security" becomes involved it suddenly becomes incredibly painful. How do you go about integrating it with your existing networking, how do you manage user security, what on earth is a private endpoint? Over the past year, a lot of these tools have evolved and we now have a set of mature patterns we can apply to actually make a modern data platform secure.
In this session I'll guide you from through a secure reference architecture with Data Factory, Databricks, Data Lake, and Azure Synapse, working together as a secure, fully productionised platform. Each has their own idiosyncrasies, but this session will teach you the options available and the pitfalls to avoid.
Accessibility for hard of hearing & deaf people
This session gives you an insight on what you can do in order to be more accessible to people that are hard of hearing or deaf. Accessibility does matter because it means that you are able to broad your audience and believe it or not it also supports people without disabilities.
Chocolatey for Data People
The Why and How of using chocolatey to save you time setting up your machine
Lightning talk
The PowerShell Standards Agency – Write better code for Everybody
There’s the quick way or there’s the right way. In this session we will look at good practices and standards to follow when writing PowerShell to make it easier for you and others to trust and reuse your code
By the end of this session you’ll have a guide to being a better PowerShell citizen, following best practices and sharing your code with others.
Become a member of the PowerShell Standards Agency* (Not a real thing) and write better code for Everybody
Adventures in CICD with Azure Synapse
In this session we'll look at the pitfalls, prerequisites, and process of setting up a continuous deployment pipeline for your Azure Synapse workspace. In this demo-heavy session we'll set up a YAML pipeline using Azure DevOps to deploy an Azure Synapse workspace resources through a development lifecycle.
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Data Céilí 2024 Sessionize Event
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#DataWeekender #TheSQL Sessionize Event
Birmingham Data Platform - JUNE ONLINE EVENT - SSRS, PowerApps and PowerBI
Supercharge your Reporting Services: An essential toolkit
Swedish Power BI User Group May meetup
Power BI Under Source Control
Data Community Weekender Europe Sessionize Event
Guildford - Surrey Data Platform Group
3 ways to bring Power BI under Source Control
Scottish Summit Sessionize Event
dataMinds Connect 2019 Sessionize Event
DATA:Scotland 2019 Sessionize Event
DataGrillen 2019 Sessionize Event
Data in Devon 2019 Sessionize Event
SQLBits 2019
Power BI and PowerShell - A Match Made in Heaven
PowerShell Southampton
The PowerShell Standards Agency – Write better code for Everybody
SQL Relay 2018
Power BI and PowerShell - A Match Made in Heaven
SQL Relay 2018
Power BI and PowerShell - A Match Made in Heaven
Dev Ops North East
The PowerShell Standards Agency – Write better code for Everybody
Austin PowerShell User Group
Remote Session: The PowerShell Standards Agency – Write better code for Everybody
Cardiff MSFT Stack User Group
The PowerShell Standards Agency – Write better code for Everybody
Power BI and PowerShell - A Match Made in Heaven
SQLGrillen 2018 Sessionize Event
Craig Porteous
Data Platform MVP | Associate Head of Data Engineering @ Advancing Analytics| DATA:Scotland event founder | He/Him.
Glasgow, United Kingdom
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