There’s even the new data lakehouse concept, which combines governance, security, and analytics with affordable storage. This article is a high dive into data lakes, including what they are, how they’re used, and how to ensure your data lake does not become a data swamp. The data lake...
Azure Data Lake Storage Gen1 is now retired. See the retirement announcementhere.Data Lake Storage Gen1 resources are no longer accessible. If you require special assistance, pleasecontact us. Azure Data Lake Storage Gen1 is an enterprise-wide hyper-scale repository for big data analytic workloads....
Data lake use cases To provide all the advantages that data lakes can offer, a proper solution should be able to offer better ways to: Ingest and transform: Move and convert different kinds and formats of data Persist and access: Ensure data is secure, can be readily discovered, can ...
A data lake is a low-cost data storage environment designed to handle massive amounts of raw data in any format.
什么是数据湖?【经典】What is Data Lake? [Classic] 传统的数据存储和分析工具不再能够提供实现相关业务见解所需的敏捷性和灵活性。因此,很多组织正在转为使用数据湖架构。数据湖是一种架构方法,让您可以将大量数据存储在一个集中位置,以便组织内的各个团队随时对其进行分类、处理、分析和使用。因为数据可以按原样...
More Data Lake Topics A data lake is a repository of data, typically stored in file format with variable organization or hierarchy. Built on object storage, data lakes allow for the flexibility to store data of all types, from a wide variety of sources. Data lakes typically contain a ...
Data lakes explained A data lake is used to hold a large amount of data in its native, raw format in a central location—typically the cloud. By leveraging inexpensive object storage, open formats, and cloud scalability, a variety of applications can take advantage of the wealth of data co...
Thethirdis to meet the elastic expansion of users’ large-scale data storage. Supports complex data types for current users, including structured data such as tables in relational databases, semi-structured data such as CSV, JSON, XML, logs, etc., and unstructured data such as emails, document...
A data lake is a low-cost data storage environment designed to handle massive amounts of raw data in any format.
A data lake is a data storage strategy whereby a centralized repository holds all of an organization's structured and unstructured data.