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A journey through the Tidyverse Thomas Hütter
An introduction to the philosophy of tidy data and the collection of R packages called Tidyverse that help to treat your data appropriately. Including lots of demos from ingesting to cleaning to visualizing your data.
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
Big Data & Data W'housing Together w/ Azure Synapse Analytic Michael Rys
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Building a secure data solution using Azure Data Lake Carmel Eve
In this session we'll focus on the benefits of using Azure Data Lake. We will cover how we use ADLS in real projects to produce a security architecture which is adaptable, scalable and provides monitoring capabilities.
Building real-time big data analytics solutions Krishna Mamidipaka
Building real-time big data analytics solutions with Azure Data Explorer and Azure Stream Analytics - Come learn about the latest that Azure has to offer in real-time analytics
Combatting illegal fishing with Azure for less than £10/mth Carmel Eve
We will see how to construct a cloud-first architecture based on serverless data analytics. We will look at specific challenges and cost saving strategies, to produce a reliable, scalable and cost effective solution!
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.
Databricks, Delta Lake and You Simon Whiteley
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
Lets do the cleansing with M and / or Python languages Ana Maria Bisbe York
This short session will cover some scenarios of cleansing data in Power Query using M, Python, or both languages.
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
Modernizing & Migrating Your Data Warehouse w/ Azure Synapse Mark Pryce-Maher
This session will dive into how to successfully migrate to Azure Synapse, all the way from code conversion to enterprise grade developer tooling, with real customer examples for product and migration experts.
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.
Next Gen: Intelligent Infrastructure Shawn Meyers
Every day our organizations expect us to do more with less. Writing scripts to automate some tasks will only get you so far. It is time for the DBA to leverage Intelligent Infrastructure to remove routine tasks.
Predictive Maintenance with Azure Synapse James Broome
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
Rapid Requirements: Introducing the Machine Learning Canvas Terry McCann
In this session, we will introduce the Advancing Analytics Machine Learning Canvas and how it can be used to capture requirements for Machine Learning Projects.
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-Maria 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
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