Power BI Dataflows – Enabling BI Professionals and Data Scientists

Jamey Johnston discusses how Power BI dataflows can be used by BI professionals, Data Engineers, and Data Scientists to improve their data skills and build valuable insights for their companies.

Data Modeling Solutions for Challenging Data Modeling Problems

In this video, Paul Turley demonstrates different data modeling solutions for four challenging data modeling problems that you will come across in many projects. These solutions can apply to Power BI, Analysis Services tabular, and Azure Analysis Services Solutions.

Microsoft Certifications: Data & AI

Microsoft has announced two new Data & AI certifications, designed specially for data professionals like you. Add to your existing portfolio with these exams and certifications for Azure Database Administrator Associate and Data Analyst Associate.

How to Capture IoT Data in Azure

Azure allows us to configure all our IoT infrastructure on the Cloud and is capable of handling high volumes of data. But how can we save the captured information in an Azure SQL database? Eduardo Pivaral shares how it can be done.

Introducing Azure SQL Database Edge

Did you know that SQL can run on ARM-based IoT devices?
Or that SQL can have less than a 350MB footprint?
Or that SQL can stream, store, and provide real-time scoring in a disconnected environment?

Discover the power of SQL at the Edge - where speed matters most.

5 Reasons Why Oracle Cloud Infrastructure Data Flow Optimizes Apache Spark

Apache Spark powers big data because of its ability to use cluster computing for data preparation and computational functions. Despite that significant ability, Apache Spark is still dependent on the infrastructure it’s built upon. Michael Chen demonstrates five reasons why Oracle Cloud Infrastructure Data Flow is the easiest way to run Apache Spark.

Right-Size Your Database Monitoring with the New SQL Sentry Editions to Fit Your Needs

The new editions include support for monitoring SQL Server and related systems running on physical, hybrid, or cloud environments, and are right-sized to meet the needs of small, mid-market, and enterprise companies.

Create an Azure Databricks Cluster from the Azure Portal

You will need to create at least one cluster to get started with Azure Databricks for data processing and analytics. Dustin Vannoy covers how to do this from the Azure Portal, including a quick description of the options available, and an overview of which cluster management tabs are available after cluster creation.

Relationships in Power BI and Tabular Models

Marco Russo describes the types of relationships available in Power BI and Analysis Services, clarifying the differences in cardinality and filter propagation of physical relationships.

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