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0 to an fully functional teams bot in 20 minutes! Mark Hayes
0 to an fully functional teams bot in 20 minutes!
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.
2 Fast 2 Furious - designing for speed, concurrency, and correctness (20 min edition) Mark Broadbent
Learn how to design for speed, concurrency, and correctness and avoid common database development pitfalls.
3 things you don’t want to store in a database (but sometimes have to) Gianluca Sartori
Some types of data are a very bad fit for a database. Join me to see how to survive with a database full of data that should not be stored there. I will demonstrate how to deal with billions of rows of logs without trashing the database, how to store millions of pictures effectively and how to deal with dynamic attributes in a sensible way.
5 Power Automate flows that could give immediate value in your organization Ásgeir Gunnarsson
In this session we will demonstrate how to create value fast with Power Automate. We will do this by showing 5 types of flows that can give value with little development effort
About time: how to work with timeseries in Azure Benjamin Kettner
A guide to available services and solutions for timeseries data
Advanced data modeling with Power BI Marc Lelijveld
After understanding the basics, lets take the next step in data modeling in Power BI!
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.
Automate the deployment of Databricks components using Terraform Falek Miah
Introduction into Terraform, Databricks provider and steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.
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 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 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 Synapse Analytics Pipelines: a 360-degree view Carey Payette
Introductory view into Azure Synapse Analytics
Benefits of Using Version Control In Database Development Grant Fritchey
Version control provides benefits beyond DevOps automation.
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
Building your first Metadata Driven Azure Data Factory André Kamman
Let's unleash the true power of ADF, it's ability to dynamically inject metadata almost anywhere. No complicated frameworks in this session, I'll show you some simple but very powerful examples.
Cosmos 101 Scott Bell
Find out everything you need to know to get started with Azure Cosmos DB in 20 minutes or less.
Cost cutting strategies for Azure Cosmos DB Hasan Savran
Your Azure Cosmos DB solution's performance and bill depends on partitioning and indexing. Please join me as I share how partitioning and indexing works in Azure Cosmos DB
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