Power BI Modeling with ADX – Cheat Sheet
Introduction
Azure Data Explorer (ADX) is a lightning-fast, fully-managed big data analytics service. It enables customers to explore and do interactive analysis on streaming and historical data over petabytes of data, with millisecond latency. Power BI is the most popular cloud-based business intelligence and data visualization platform. It integrates with other Microsoft products and services, making it a powerful tool for exploring, analyzing, and visualizing data.
Why Use ADX and Power BI Together?
Combining ADX and Power BI enables users to quickly and easily explore, analyze, and visualize large datasets. ADX provides the data source for Power BI models, allowing for fast and interactive analysis of streaming and historical data.
What Can You Do with the Combination?
Using ADX and Power BI together, users can:
* Analyze streaming data in near-real time
* Visualize large datasets with complex relationships
* Create interactive dashboards with self-service BI capabilities
* Gain insights into customer behavior with predictive analytics
* Easily integrate with other Microsoft products and services
Getting Started with ADX and Power BI
Using ADX and Power BI together is easy and requires no programming skills. To get started, you’ll need an Azure subscription, a Power BI Pro account, and an ADX cluster.
Step 1: Create an Azure Subscription
Creating an Azure subscription is the first step. You can do this by signing up for a free trial or creating a pay-as-you-go subscription. Once you have an Azure subscription, you can create an ADX cluster.
Step 2: Create an ADX Cluster
Creating an ADX cluster is simple. You can do this by using the Azure portal, Azure CLI, or PowerShell. Once you have an ADX cluster, you’ll be ready to start exploring and analyzing your data.
Step 3: Connect Power BI to ADX
Once you have an ADX cluster, you can connect Power BI to it. To do this, you’ll need to create a data source connection in Power BI. You’ll also need to create an ADX database and table in the ADX cluster. Once these are created, you can start exploring and analyzing your data with Power BI.
Step 4: Create Visualizations and Reports
Once you have connected Power BI to ADX, you can start creating visualizations and reports. You can use Power BI’s drag-and-drop interface to quickly create visuals and dashboards. You can also use Power BI’s self-service BI capabilities to gain insights into customer behavior with predictive analytics.
Conclusion
Combining ADX and Power BI is a powerful way for organizations to quickly and easily explore, analyze, and visualize large datasets. With the combination, users can gain insights into customer behavior with predictive analytics and create interactive dashboards with self-service BI capabilities. With no programming skills required, it’s easy to get started with ADX and Power BI.
References:
Power BI modeling with ADX – cheat sheet
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1) Power BI cheat sheet
2) Power BI modeling with ADX
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