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10 tips for a successful migration from Databricks and ADF to Synapse Dave Ruijter
Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
About time: how to work with timeseries in Azure Benjamin Kettner
A guide to available services and solutions for timeseries data
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.
Azure Container Apps for Data Engineers Ben Jarvis
In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure
Azure Data Engineering services used to analyze data Kevin Chant
Overview to some of the more popular Azure Data Engineering services used to analyze data
Azure Data Factory - A deployment challenges Kamil Nowinski
I will show a few challenges while deploying Azure Data Factory and solution for them.
Data Governance with Azure Purview - Theory, Customer Insights and Demos Bernhard Engleder
This data governance session guides you through the organization processes, policies and roles that are required for a successful data governance adoption. In addition to demos showing the possibilities of Azure Purview (the MS data governance service), we will share about experiences from our data governance workshops and adoption projects with our customers.
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
ksqlDB - The Real-Time Streaming Database Niels Berglund
In this demo filled session we see how we use ksqlDB to gain real-time insights into streaming data. We look at push/pull queries, User Defined Functions, tables and streams.
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
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
Real-world AI Architectures Ben Wright-Jones
In this session we will share our experiences and examples of real-world AI scenarios and architectures from around the globe, covering a variety of use cases across different industries.
Roche's Maxim of Data Transformation Matthew Roche
As far upstream as possible. As far downstream as necessary. In 20 minutes.
When you should avoid using bidirectional filters in Power BI Alberto Ferrari
Bidirectional filters are a powerful tool, probably too powerful for most data models. In this quick talk we show the reason why most users should avoid using the feature, unless they understand well the implications.
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