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Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer Niels Berglund
In this demo-filled session we get an overview of Azure Data Explorer, which is a fast, fully managed data analytics service for real-time analysis on large volumes of data streaming from applications, websites, IoT devices, and more. We look at how to ingest data, as well as query in real-time against billions of rows with sub-second latency.
Apache NiFi 101: Introduction and Best Practices Timothy Spann
Using open source apache nifi to integrate and ingest data at scale
Architectural blueprints for the Modern Data Warehouse Just Blindbæk
This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
Azure Data Engineer Skills for Success Dustin Vannoy
Data Engineer is an exciting and rewarding role. This session will describe a data engineer's responsibilities and give an overview of the skills needed to be an Azure Data Engineer.
Azure Synapse Analytics Pipelines: a 360-degree view Carey Payette
Introductory view into Azure Synapse Analytics
Bringing Data Lakes to your Purview Simon Whiteley
A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
Building the Lakehouse Architecture with Azure Synapse Analytics Mike Dobing
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures) James Serra
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
Enterprise Scale Analytics - What's in it for me Oliver Engels
Reality Check on Microsofts Enterprise Scale Analytics Framework
Implementing a Data Quality Framework in Purview Ust Oldfield
Building a Data Quality implementation in Purview using the Glossary and Databricks
Less Clicking, More Coding! Data Platform Development Using Infrastructure as Code Heini Ilmarinen
In this session we will go through the concepts that you need to grasp in order to get started with infrastructure as code for Azure. We will look at how the process for managing resources in Azure changes compared to the way we've previously done it, and finally we will explore a complete workflow of deploying your Azure data platform architecture as code using Terraform and how to work on that code with your team.
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup Cathrine Wilhelmsen
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
Leveraging Apache Spark for Efficient Data Encryption at Scale Daniel Harrington
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
Lightning Talk - Friday Various Speakers
A variety of 5 minute sessions to include:
Low-Code Data Preparation using Power Query Dataflows Miguel Llopis
Join the Power Query Dataflows product team to learn about current state and future plans for Power Query, Connectors & Dataflows capabilities in Power BI and beyond.
Migrate traditional DW transformations to Spark/Scala Sergiy Lunyakin
Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
Networking unlocked for the Azure Data Services Heini Ilmarinen
Are you trying to make sense of how to secure your Azure Data Service to your private network, but can't just seem to make sense of service endpoints, private links and private endpoints, as well as when to use which approach? Join this session to understand networking for the Azure Data services and the differences of these methods for integrating your Azure Data Services to a virtual network. You will learn what are the benefits of each approach and what challenges you can solve with them.
Overview of Azure Synapse Analytics Dave Ruijter
Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
Practical Lakehouse implementation in the enterprise Ivan Donev
Everything you need to know for impelenting a Lakehouse in the enterprise
Reporting on 1.4B rows with Serverless SQL Pools Stijn Wynants
Building a dashboard using Serverless SQL Pools in a performant way
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