What is a data lakehouse? - Azure Databricks | Microsoft Learn
2024年10月31日 · A data lakehouse is a data management system that combines the benefits of data lakes and data warehouses. This article describes the lakehouse architectural pattern and what you can do with it on Azure Databricks.
What is a data lakehouse? - IBM
A data lakehouse is a data platform, which merges the best aspects of data warehouses and data lakes into one data management solution. Data warehouses tend to be more performant than data lakes, but they can be more expensive and limited in their ability to scale.
What is a Data Lakehouse? - Databricks
A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.
What is a data lakehouse?
Google Cloud provides a cloud-native, highly scalable, and secure data lakehouse solution based on our low-cost storage, serverless compute engines, and powerful data management offerings....
What Is a Lakehouse? | Databricks Blog
2020年1月30日 · The lakehouse is a new data management architecture that radically simplifies enterprise data infrastructure and accelerates innovation in an age when machine learning is poised to disrupt every industry.
What is a lakehouse? - Microsoft Fabric | Microsoft Learn
2023年11月15日 · A lakehouse is a collection of files, folders, and tables that represent a database over a data lake used by Apache Spark and SQL for big data processing.
Introduction to the well-architected data lakehouse
2024年3月1日 · Understand the pros and cons of decisions you make when building the lakehouse. This framework provides architectural best practices for developing and operating a safe, reliable, efficient, and cost-effective lakehouse. See Data lakehouse architecture: Databricks well-architected framework.
Data Lakehouse Architecture - Databricks
The Databricks Data Intelligence Platform is built on lakehouse architecture, which combines the best elements of data lakes and data warehouses to help you reduce costs and deliver on your data and AI initiatives faster.
What is a Data Lakehouse? - Oracle
A data lakehouse can be defined as a modern data platform built from a combination of a data lake and a data warehouse. More specifically, a data lakehouse takes the flexible storage of unstructured data from a data lake and the management features and tools from data warehouses, then strategically implements them together as a larger system.
Introduction to the well-architected data lakehouse
Understand the pros and cons of decisions you make when building the lakehouse. This framework provides architectural best practices for developing and operating a safe, reliable, efficient, and cost-effective lakehouse. See Data lakehouse architecture: Databricks well-architected framework.