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(Almost) all about Azure Arc - in 20 Minutes Ben Weissman (he/him)
Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
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.
Apache NiFi 101: Introduction and Best Practices Timothy Spann
Using open source apache nifi to integrate and ingest data at scale
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 Arc-enabled SQL MI – More than just another kind of SQL Server Ben Weissman (he/him)
Join us, as we explore the capabilities of Azure Arc-enabled SQL Managed Instances.
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 Factory - A deployment challenges Kamil Nowinski
I will show a few challenges while deploying Azure Data Factory and solution for them.
Azure Data Factory, Azure Logic Apps and Power BI for everyone Alpa Buddhabhatti
As above
Azure DevOps Release Pipelines for SQL Databases, Azure Data Factories, and Analysis Models Mike Diehl
How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.
Beyond Buttons: More Than Meets The Eye Reid Havens
In this presentation you'll see many unique and creative ways to implement both both bookmarks and buttons to supercharge the filter and navigation experience for your users.
Building a robust deployment pipeline in Power BI Michael Johnson
Does your organisation need to manage the deployment of Power BI better? Join this session to learn how to shorten the time to deploy new features to your users while ensuring you maintain a standard for high quality using tools such as Azure DevOps and Power BI deployment Pipelines.
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 Engineering the Hard Way: Developing Spark Applications on Kubernetes Gavin Campbell
Self-hosting Spark in Containers
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
Database Projects 101 in ADS Warwick Rudd
Database Projects 101 in ADS is an introductory session on how to incorporate Database Projects in Azure Data Studio into a Data Professionals toolkit.
Dealing with Bad Networks - The Availability Conundrum Allan Hirt
Are you trying to increase uptime locally or for disaster recovery but your network is terrible? Join the club. This session will discuss different techniques, their pros and cons, as well as considerations for availability when your network is flaky at best.
Docker & Kubernetes for the Data Scientist Terry McCann
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Embedding SQL security practices in your pipelines Stuart Moore
Automate checking your database security model
Enterprise and multi-tier Power BI deployments with Azure DevOps. Marc Lelijveld
Govern your Power BI estate and setup your DTAP approach for Power BI using DevOps or native deployment pipelines!
Enterprise Row Level Security in SQL Server and Power BI Jamey Johnston
Learn how to and why you should protect your data with Row Level Security in SQL Server and Power BI.
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