A data lake is a low-cost data storage environment designed to handle massive amounts of raw data in any format.
Architecture The architecture of a data lake is generally composed of multiple layers, including the ingestion layer, storage layer, processing layer, and access layer. Each layer plays a crucial role in the functioning of the data lake, ranging from data collection to data analysis and visualizati...
This section will explore data architecture using a data lake as a central repository. While we focus on the core components, such as the ingestion, storage, processing, and consumption layers, it's important to note thatmodern data stackscan be designed with various architectural choices. Both ...
《数据湖架构-Data Lake Architecture》精简 声明:本文仅代表一家之言。 “单向”数据湖 业务用户对数据湖中数据感到一筹莫展,核心问题在于,湖中数据增长得越多,其分析难度也越大。因为数据被不断地推进湖中,分析报告却始终难产,这种规模可观的数据湖被戏虐为“单向”数据湖,数据只进不出。这样数据湖仅仅被当做...
Data Lake Architecture Data lake architectures accommodate all data structures, including no structure, and support any format. Data lakes consist of two components: storage and compute. An entire data lake can reside on-premises or in a cloud environment. Some data lake architectures combine on-...
HowToCreateADataLakeArchitecture What is a Data Lake? A data lake is a method of storing data within a system or repository, in its natural format, that facilitates the collocation of data in various schemata and structural forms, usually object blobs or files. A Tutorial on Data Lake Archit...
A modern data lake architecture provides rapid data access and analytics by having compute resources and storage objects internal to the data lake platform.
Data lakehouses are innovative solutions that blend the capabilities of data lakes and data warehouses. They have rapidly become a favored practice among many enterprises I work with, owing to its adaptability and scalability. This architecture inherently incorporates data quality tools and technology,...
Data Lake Architecture A data lake can have various types of physical architectures because it can be implemented using many different technologies. However, there are three main principles that differentiate a data lake from other big data storage methods: ...
Data Lake 是一种存储库,可以按数据本来的原始格式存储大量的数据。 Data Lake 存储经过优化,数据大小规模可以达到数 TB 甚至数 PB。 这些数据通常来自多个不同源,可以包括结构化的、半结构化的或非结构化的数据。 Data Lake 可以帮助你以原始的非转换状态存储一切内容。 此方法不同于传统的数据仓库,后者在引入...