Call for Speakers

in 209 days

DATA:Scotland 2019

event date

13 Sep 2019


Strathclyde University Innovation Centre, 99 George St, Glasgow G1 1RD Glasgow, United Kingdom

DATA:Scotland is an annual, free training conference, focused on the Microsoft Data Platform and related technologies. Founded in 2017, we have grown from strength to strength. We are organised BY community volunteers FOR the data community.

We return on Friday 13 September 2019!

Sign up to our mailing list to be the first to get updates and information!

open, 44 days left
Call for Speakers
CfS opens at 8:00 AM

15 Jan 2019

CfS closes at 11:59 PM

31 Mar 2019

This event is in GMT Standard Time time zone.
Closing time in your time zone is .

After two fantastic years we are back in 2019 with more!

We are looking for speakers near and far to come to Scotland's ONLY free Data Platform community event. Sessions can be around any aspect of the Microsoft Data Platform. DBA, BI, Data Warehousing, Machine Learning, Data Science, Automation, DevOps, PowerShell and all the rest! We want to hear your ideas!

We want to hear from new speakers and veterans. Whatever level you are at, you will be given the best Scottish welcome! If you're a new speaker we can help. Choose the New Speaker session format and we'll be in touch!

We look forward to your submissions! 

The DATA:Scotland Team

all submitted sessions

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57 submissions
Submitted sessions
Sushil Shah
  • Cloud Scale Straming Analytics with Databricks
  • Deep Dive with Azure SQL Datawarehouse
Simon Whiteley
  • Python Pipeline Primer: Data Engineering with Azure DataBricks
Marc Lelijveld
  • Use parameters to add extra flexibility to your Power BI content
  • AI Capabilities for Power BI to make AI Accessible for Everyone
  • Storytelling & interactive reports with Power BI Bookmarks & Drillthrough
  • End-to-end monitoring for a successful Power BI implementation
  • Enterprise and multi-tier Power BI deployments with Azure DevOps.
Jo Franchetti
  • Perfectionism, Impostor Syndrome, Anxiety and Learning to be Kind to Yourself
John Mccormack
  • You can run SQL Server on AWS?
Tristan Edwards
  • Migrating SQL to Azure
Andrew Pruski
  • SQL Server and Kubernetes
Chris Taylor
  • AWS or Azure – Which is right for you?
  • "Kubernetify" your Containers
  • Introduction to Containers
  • Database CI/CD with Containers and Azure DevOps
Paul Andrew
  • An Introduction to SQL Server 2019 Big Data Clusters
  • Beyond IoT Real-time Data Ingestion with Azure Stream Analytics
  • Complex Azure Orchestration with Dynamic Data Factory Pipelines
  • ETL in Azure made easy with Data Factory Data Flow
William Durkin
  • It's broken, now what?! (Practical problem solving)
show all submissions
Simon Binder, Alexander Arvidsson
  • Fort Knox for your data - securing Power BI using Microsoft 365
Sarah Lean
  • Use Azure Tooling to be successful
  • Striking the right balance while staying relevant
  • Start your datacentre transformation journey with Azure Migrate
Kevin Chant
  • Maintaining your larger SQL Server databases better
  • Database Adventure
Enrico van de Laar
  • Crazy Data Science
  • Moving advanced analytics to your SQL Server databases
  • Advanced analytics in the cloud: AzureML
Jose Manuel Jurado Diaz
  • Azure SQL Database - Lessons learned from the trenches
Jose Manuel Jurado Diaz, esraa al-nashash
  • Azure SQL Managed Instance - Experiencies from the Field
Marc Lelijveld, Dave Ruijter
  • Power BI Cheat Sheet explained!
Matija Lah
  • Fun with Legal Information in SQL Server: Correlating Offers and Counter-offers
  • Fun with Legal Information in SQL Server: Determining the Law to Be Used
  • Implementing Supertypes and Subtypes in SQL Server
  • FILETABLEs: What They Are and How to Use Them
José Mendes
  • Learn how to build a real-time analytics solution
Alexander Arvidsson
  • Talk tech to me - improving your technical presentation skills
  • SQL Server hates you(?) - what the DBAs never told the developers
  • The Force Awakens - Azure SQL Server for the on-prem DBA
  • Learning to swim - an introduction to Azure data lake
  • Azure machine learning for the absolute beginner
  • Arguing with myself - self-service BI from an infrastructure perspective
Marcos Freccia
  • SQL Dashboard v1 - A Python/Django Tool for implementing Database as Service.
  • Working smarter, not harder with Azure SQL Database
  • 10 Alerts that you should have it running in your SQL Server
  • Stop everything! T-SQL tips to make a Developer life easier
Chrissy LeMaire
  • Simplifying High Availability with dbatools
Chrissy LeMaire, Rob Sewell
  • 15 can't miss commands in dbatools 1.0
Jan Mulkens
  • Automating Machine Learning
  • Automating Power BI Deployments
  • 6 months to 5 minutes, a horror story
  • State of Machine Learning in Azure in 2019
  • The Haberdashery of Machine Learning
  • Driving Power BI automation through monitoring
  • Applying DevOps practices to Machine Learning