Data lakes allow you to transform raw data into structured data that is ready for SQL analytics, data science and machine learning with low latency. Raw data can be retained indefinitely at …

Use the data lake as a foundation and landing zone for raw data. As you add new data into your data lake, it’s important not to perform any data transformations on your raw data (with one …

For DWH and BI use cases, the Databricks lakehouse provides Databricks SQL, the data warehouse powered by SQL warehouses, and serverless SQL warehouses. For machine …

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, …

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 …

Delta Lake is the optimized storage layer that provides the foundation for tables in a lakehouse on Databricks. Delta Lake is open source software that extends Parquet data files with a file …

2024年12月16日 · Learn how to read and write data to Azure Data Lake Storage Gen2 using Azure Databricks.

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 …

2022年10月29日 · Data lake architecture is flat and uses metadata tags and identifiers for quicker data retrieval in a data lake. Data in a data lake is not filtered before storage and accessing …

Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers. What is Azure Databricks? What is the …