In today’s digital world, when you’re building automated workflows across cloud and on-prem systems, the last thing you want is to reinvent the wheel every time when two systems need to talk to each other. That’s exactly the problem Azure Logic Apps Connectors solve. As a powerful, serverless platform, Logic Apps helps you build automated
For decades, Microsoft BizTalk Server has been a reliable workhorse for enterprise integration, helping organizations with their complex data flow and critical business processes. As digital transformation accelerates and cloud-first strategies become the new normal, organizations are re-evaluating their legacy infrastructure. The demands for greater agility, enhanced scalability, reduced operational overhead, and robust cloud capabilities
Over the years, automation has come a long way. What used to take hours (or even days) can now be done in seconds. This is exactly what Azure Logic Apps has been doing since its launch back in 2015. Logic Apps has been the go-to tool in the Microsoft ecosystem for connecting almost anything –
Discover the latest announcements and platform enhancements from the Microsoft Fabric Community Conference 2025.
Microsoft announced its expansion to their partnership with Snowflake during the Build Conference 2024. This collaboration promises to revolutionize data management by offering seamless bi-directional data access and a commitment to open standards. OneLake, the cornerstone of Fabric, shines even brighter with this partnership. As a single, unified, Software-as-a-Service (SaaS) open data foundation, OneLake empowers
In the last few blogs in the Data Factory series using Fabric, we learnt how to interact with data pipelines and Data flows in Data Factory. In this blog, let us continue to explore a little more deeper. We will see a new concept on how to do the incremental load in data pipelines, load
In our last Data Factory series using Fabric blog, we saw how to create a Dataflow in Data Factory to load the data from Web API connector to warehouse. We also discussed how to load the CSV files to a warehouse. In this blog, let’s explore a new use case. In this article, we will
In our last Data Factory series using Fabric, we saw how to create a basic pipeline which copies the data from Microsoft Azure Blob Storage to Lakehouse with auto mail alert. In this article, let’s explore our knowledge on creating a Dataflow in Data Factory to load the data from Web API connector to warehouse.
In the last article in our Data Factory Series using Fabric, we had introduced the concept of Data Factory Fabric. In this article, let’s explore our knowledge on data pipelines by creating a basic pipeline which copies the data from Microsoft Azure Blob Storage to Lakehouse. For this use case, we will use Lakehouse which combines
Data Factory is the data integration component of Microsoft Fabric which brings the power of Azure Data Factory and Power Query Dataflows into one place.
