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Azure AI, Power new possibilities for every organization Lindsey Allen
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Azure Cost Management Dustin Dorsey
Learn the tools and techniques you can use to create governance and insights around your Azure spend
Baselining Performance with DEA Dustin Dorsey
Learn what the Database Experimentation Advisor is and how you can start using it to baseline performance from a target and source server when new changes are introduced.
Battle tested project planning with Azure Devops boards Kevin Chant
Azure boards within Azure DevOps give you the capability to organise your project and analyse the it’s progress. Do you want your manager to stop bugging you about your project’s progress, come to this session?
Building a Modern Enterprise BI in a Mobile Games Company Raúl Jiménez Aguilera
How does a Modern Enterprise BI Architecture with Power BI, SQL Server, Hadoop and Azure look like? Visit my talk and I will show you how we at InnoGames put all these components together to simply make better decisions.
Common Data Model-Our new buddy for Data Governance Oliver Engels
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Data Exploration & Experimentation with Notebooks in Azure Ian Griffiths
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Look before you leap -Writing your first Data Strategy James Boother
Getting a data strategy in place ensures you know what data to capture and how to process, store, manipulate and interpret it to meet your goals. Learn how to create and implement at Strategy with Coeo.
The video is not available to view online.
Make A Company Conversational using Azure Cognitive Services Matt Gordon
How can data professionals help a company deliver more personal and prompt communication to customers that are demanding it? Learn how data knowledge and the power of Azure Cognitive Services APIs can make that happen!
Microsoft certifications for the Data & AI professional Sandra Marin
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
Navigating the Bewildering Array of Data Services in Azure Ian Griffiths
Azure's breadth of products can make technology selection a challenge. Learn how to make pragmatic and informed choices that meet your application's data transformation, processing and storage requirements.
Rebooting your SME Data Analysis Strategy Mark Hayes
A review of how the Power Platform can be adopted by an organization to successfully meet their data needs. Based on real-world implementations with customers.
Scala for Big Data the Big Picture Anna Wykes
An opportunity to explore Scala, and why it is truly a “Data Engineers language”. Using Azure Functions, Data Factory, Azure Data Lake Gen2 and Databricks the basics will be explored, followed by real world examples
The “New Normal” for Database DevOps Kendra Little
See a showcase of Redgate's latest innovations that empower teams to quickly deliver quality database code.
The Modern Data Platform: Automate Everything Angus Mack
Automation for deploying, monitoring and alerting in a data lake data platform using Terraform, DevOps, Application Insights, Log Analytics and PowerBI.
Troubleshooting Power BI Report Performance Benni De Jagere
Starting off with the new Performance Analyzer Pane, we'll demonstrate how you can pinpoint bottlenecks in your Power BI reports, and take actions on these insights.
Value-Driven Analytics Development Simon Whiteley
Ever spent an age releasing a data model, only to find no-one uses it? There's a better way of working, driven by both technology & agile working practices, let me tell you about Value Driven Development & DataOps
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