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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.
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.
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.
Introductory view into Azure Synapse Analytics
A short, fast dive into the specific elements of Azure Purview that work well with Data Lakes, and how you implement them yourselves
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
Reality Check on Microsofts Enterprise Scale Analytics Framework
Building a Data Quality implementation in Purview using the Glossary and Databricks
In this session we will go through the concepts that you need to grasp in order to get started with infrastructure as code for Azure. We will look at how the process for managing resources in Azure changes compared to the way we've previously done it, and finally we will explore a complete workflow of deploying your Azure data platform architecture as code using Terraform and how to work on that code with your team.
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
A variety of 5 minute sessions to include:
Join the Power Query Dataflows product team to learn about current state and future plans for Power Query, Connectors & Dataflows capabilities in Power BI and beyond.
Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
Are you trying to make sense of how to secure your Azure Data Service to your private network, but can't just seem to make sense of service endpoints, private links and private endpoints, as well as when to use which approach? Join this session to understand networking for the Azure Data services and the differences of these methods for integrating your Azure Data Services to a virtual network. You will learn what are the benefits of each approach and what challenges you can solve with them.
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!
Everything you need to know for impelenting a Lakehouse in the enterprise
Building a dashboard using Serverless SQL Pools in a performant way
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