Join Rob and Ben for a fun filled hour from the community for the community as they invite a concatenation of community experts on stage and let them show us what their favorite data platform feature is and why!
The video is not available to view online.
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.
Learn how to design for speed, concurrency, and correctness and avoid common database development pitfalls.
Using open source apache nifi to integrate and ingest data at scale
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.
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
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.
How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.
You will be challenged with a case study to design a solution using Azure SQL Database capabilities. At the end of this session, you will better understand the possibilities to migrate on-premises databases to Azure SQL Database. You will learn how to synchronize data across different environments and get more insights on how to troubleshoot issues in Azure SQL Database. This is a hands-on, open discussions and team work kind of session (not a traditional slideshow).
The video is not available to view online.
Introductory view into Azure Synapse Analytics
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
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.
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
Generate tables of data using the #table M function in Power Query
DBA/Developer Toolset to get you out of that hole and save you some time
SQL Server 2022's latest developer enhancements from the Product Group.
DW Automation and Design Best Practices
Learn how to and why you should protect your data with Row Level Security in SQL Server and Power BI.
Reality Check on Microsofts Enterprise Scale Analytics Framework