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.
DBA and Data scientists should work together! Analyzing data gathered with XE and Query Store data using R or Python for better database insight and discovering hidden patterns.
Automated Machine Learning, "1 button data science", has been with us for a while. As always there's fans and detractors. We'll discuss when and why you'd use AutoML and when it's better to avoid it.
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.
Learn the tools and techniques you can use to create governance and insights around your Azure spend
This session will talk about how you can combine the serverless power of Azure Functions with the flexibility of Azure Cosmos DB to process large amounts of data and gain real-time insights.
Come learn how Azure Synapse brings together big data and data warehousing through new technology and a unified development experience
Together Power BI and Azure Synapse Analytics can handle huge datasets. This session details how the composite model and aggregation capabilities of Power BI can be used to fully exploit the scale provided by Synapse.
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.
A client's case on how to build a robust metadata driven datahub by utilizing Databricks (Delta Lake) for data ingestion, validation, and loading
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
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 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
Look beyond the marketing to understand how, when and why you should consider Cosmos DB. Based on real world experience, we'll explain the complexities and gotchas in building realistic cost and performance models.
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, 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.
Are you a .NET developer who's being FOMO'ing over all the machine learning goodness? Thanks to ML.NET, this is no longer the case! Learn how you can use your C# skills to build some awesome ML applications!
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
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.
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.
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