Automating your Power BI dataset refresh can save time and ensure your reports always stay up to date. In this post, we’ll walk through how to trigger a Power BI report refresh directly from Azure Data Factory (ADF) using an App Registration in Azure Entra ID.
There was a time when moving data from multiple sources felt like untangling a giant knot. Every data refresh meant scripts breaking, manual checks, and long hours spent ensuring everything flowed from source to destination correctly. Then Azure Data Factory (ADF) entered the picture, and it didn’t just simplify ETL and ELT. It completely transformed how we think about data orchestration at scale.
In today’s cloud-first world, enterprises have no shortage of data services. But when it comes to building scalable, reliable data pipelines, two names often dominate the conversation: Azure Data Factory (ADF) and Azure Databricks.
When it comes to building a modern data platform in Azure, two technologies often spark debate: Microsoft Fabric and Databricks. Both are powerful. Both can process, transform, and analyze data. But they serve different purposes, and the smartest organizations know when to use each.
In Microsoft Fabric, Data Factory is the powerhouse behind that process. It’s the next generation of Azure Data Factory, built right into the Fabric platform; making it easier than ever to: - Connect to hundreds of data sources - Transform and clean data on the fly - Schedule and automate ingestion (without writing code)
Whether you're a data engineer, analyst, or developer stepping into the world of cloud-based data integration, Azure Data Factory (ADF) is a powerful tool worth mastering. It allows you to build robust, scalable data pipelines to move and transform data from various sources, all without managing infrastructure.
In today’s data-driven world, integrating marketing and sales data from platforms like HubSpot into a centralized storage system such as Azure Data Lake is critical for advanced analytics and reporting. Azure Data Factory (ADF) makes it simple to automate this process without writing any code. In this guide, we'll walk through the exact steps needed to pull data from HubSpot and store it in Azure Data Lake Storage Gen2 in JSON format.
Scaling up and scaling down your Azure Dedicated SQL Pool helps optimize both performance and costs.
Are you looking for a simple way to copy data from Zoho to Azure Data Lake? You're in the right place! With Azure Data Factory (ADF), you can automate the process of copying data from Zoho’s API to Azure Data Lake Storage Gen2, making it easier to store and analyze your data.
By following these steps, you’ll be able to extract, transform, and load (ETL) your Parquet data into a structured data warehouse environment, enabling better analytics and reporting.
In this step-by-step guide, we’ll go through the exact process of creating Linked Services, defining datasets, and setting up a Copy Activity to seamlessly transfer your JSON data to Parquet format.
This blog post will help you build an automated and effortless way to keep your Azure Analysis Services model up-to-date using Azure Data Factory, ensuring accurate insights with seamless refreshment.
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