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Join me on a journey through the different offerings in Azure Arc and how they can benefit you as a data professional!
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.
Using open source apache nifi to integrate and ingest data at scale
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.
Join us, as we explore the capabilities of Azure Arc-enabled SQL Managed Instances.
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
I will show a few challenges while deploying Azure Data Factory and solution for them.
How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.
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.
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.
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
Database Projects 101 in ADS is an introductory session on how to incorporate Database Projects in Azure Data Studio into a Data Professionals toolkit.
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.
Deployment == Return on investment. This session looks to show you how to do that for Machine Learning.
Automate checking your database security model
Govern your Power BI estate and setup your DTAP approach for Power BI using DevOps or native deployment pipelines!
Learn how to and why you should protect your data with Row Level Security in SQL Server and Power BI.
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