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- Lakehouse and Delta Tables - Microsoft Fabric
Microsoft Fabric Lakehouse uses Delta Lake as the default and preferred table format to provide reliable, high-performance data storage and processing While other formats are supported, Delta Lake offers the best integration and performance across all Fabric services This article explains what Delta Lake tables are, how they work in Fabric, and how to get the best performance from your data
- How to Access Files in Microsoft Fabric Lakehouse Using Notebooks
Introduction Microsoft Fabric's lakehouse architecture provides a powerful foundation for storing and processing data at scale One of the key capabilities is accessing files stored in the lakehouse directly from Fabric notebooks using both pandas and PySpark This approach allows data professionals to seamlessly work with various file formats while leveraging the distributed computing power…
- Create a lakehouse with OneLake - Microsoft Fabric
Learn how to create a lakehouse and load data into it with OneLake; you can also add data in bulk or schedule data loads
- Working with tables in Microsoft Fabric Lakehouse - Data Mozart
Working with tables in the Microsoft Fabric lakehouse may look like a straightforward task - however, there are many nuances to be aware of before you decide to go one way or another
- What is Lakehouse? How to Create Lakehouses in Microsoft Fabric?
The foundation of Microsoft Fabric is a Lakehouse, which is built on top of the OneLake scalable storage layer and uses Apache Spark and SQL compute engines for big data processing A Lakehouse is a unified platform that combines: The flexible and scalable storage of a data lake The ability to query and analyze data of a data warehouse Imagine your company has been using a data warehouse to
- Playbook for metadata driven Lakehouse implementation in Microsoft Fabric
Building on our previous blog, Demystifying Data Ingestion in Fabric, this post explores how to design and implement an end-to-end metadata-driven Lakehouse using Microsoft Fabric
- Build an End-to-End Analytics Solution on Microsoft Fabric
In this blog, you will learn how to use Microsoft Fabric to create an end-to-end analytics solution using Lakehouse You will also learn how to address some of the common challenges and considerations when working with data, such as:
- Lakehouse connector overview - Microsoft Fabric
This article explains the overview of using Lakehouse
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