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Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
Serverless computing is "a cloud service category in which the customer can use different cloud capability types without the customer having to provision, deploy and manage either hardware or software resources, other than providing customer application code or providing customer data. Serverless computing represents a form of virtualized ...
POGOL, an otherwise conventional data-processing language developed at NSA, compiled large-scale applications composed of multiple file-to-file operations, e.g. merge, select, summarize, or transform, into efficient code that eliminated the creation of or writing to intermediate files to the greatest extent possible. [11]
When Andrew Ferguson launched Databricks’ corporate venture arm three years ago, he wasn’t expecting to be writing checks quite this fast. Databricks Ventures has backed 25 companies already.
In data communications, flow control is the process of managing the rate of data transmission between two nodes to prevent a fast sender from overwhelming a slow receiver. Flow control should be distinguished from congestion control , which is used for controlling the flow of data when congestion has actually occurred. [ 1 ]
While the term "fabric" has also been used in association with storage area networks and with switched fabric networking, the introduction of compute resources provides a complete "unified" computing system. [citation needed] Other terms used to describe such fabrics include "unified fabric", [4] "data center fabric" and "unified data center ...
Cloud native computing is an approach in software development that utilizes cloud computing to "build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds".
In information technology and computer science, the pattern of applying one-way mutations on an immutable data state is called unidirectional data flow. [1] Separation of state changes from presentation has many benefits and was popularized with Redux for unidirectional data flow combined with React for presenting, or rendering, data state.