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Microsoft Fabric Updates Blog

  1. Updates
  2. June 2024

Introducing Capacity Pools for Data Engineering and Data Science in Microsoft Fabric

We are excited to announce the Capacity Pools for Data Engineering and Data Science in Microsoft Fabric. As part of the Data Engineering and Science settings in the Admin portal, capacity administrators can create custom pools based on their workload requirements. Optimizing Cloud Spend and Managing Compute Resources In enterprise environments, managing cloud spending and … Continue reading “Introducing Capacity Pools for Data Engineering and Data Science in Microsoft Fabric”

Introducing New Branching Capabilities in Fabric Git Integration

We’re excited to announce the introduction of new branching capabilities in Fabric Git integration, making it even easier to use! Fabric Git integration is a vital component of the Fabric CI/CD toolkit, enabling developers to connect their Fabric workspaces to Git repositories, and utilize Git features like version control and collaborative workflows. Before delving into … Continue reading “Introducing New Branching Capabilities in Fabric Git Integration”

Microsoft Fabric Lifecycle Management: Getting started with development in isolation using a Private Workspace

When we talk about Microsoft Fabric workspace collaboration, a common scenario is developers and their teams using a shared workspace environment, which means they have access to “live items”. A change made directly within a workspace would override and affect all other developers or users utilizing that workspace. This is where git becomes increasingly important … Continue reading “Microsoft Fabric Lifecycle Management: Getting started with development in isolation using a Private Workspace”

Mastering Enterprise T-SQL ETL/ELT: A Guide with Data Warehouse and Fabric Pipelines

Developing ETLs/ELTs can be a complex process when you add in business logic, large amounts of data, and the high volume of table data that needs to be moved from source to target. This is especially true in analytical workloads involving relational data when there is a need to either fully reload a table or incrementally update a table. Traditionally this is easily completed in a flavor of SQL (or name your favorite relational database). But a question is, how can we execute a mature, dynamic, and scalable ETL/ELT utilizing T-SQL with Microsoft Fabric? The answer is with Fabric Pipelines and Data Warehouse.

Demystifying Data Ingestion in Fabric: Fundamental Components for Ingesting Data into a Fabric Lakehouse using Fabric Data Pipelines

  • Headshot of article author June 18, 2024 by RK Iyer 16,418 Views

✎ Co-Author – Abhishek Narain Overview Building an effective Lakehouse starts with establishing a robust ingestion layer. Ingestion refers to the process of collecting, importing, and processing raw data from various sources into the data lake. Data ingestion is fundamental to the success of a data lake as it enables the consolidation, exploration, and processing … Continue reading “Demystifying Data Ingestion in Fabric: Fundamental Components for Ingesting Data into a Fabric Lakehouse using Fabric Data Pipelines”