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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”

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.

Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric

We are excited to announce the public preview release of Copilot for Data Warehouse in Microsoft Fabric, a groundbreaking AI assistant designed to transform your data warehousing tasks. Data warehouse development can be daunting for SQL developers, especially under tight timelines where insights are needed “yesterday”.  Developers may spend hours writing code, building schemas, documentation, … Continue reading “Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric”

Introducing Job Queueing for Notebook in Microsoft Fabric

Users orchestrate their data engineering or data science processes using notebooks and in most of the enterprise scenarios pipelines and job schedulers are used as a primary option to schedule and trigger these Spark jobs. We are thrilled to announce a new feature Job Queueing for Notebook Jobs in Microsoft Fabric. This feature aims to … Continue reading “Introducing Job Queueing for Notebook in Microsoft Fabric”