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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.
Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint. [11] Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables), which are CSV based and typically stored in a seeds ...
Unity Version Control (previously known as Plastic SCM) [1] is a cross-platform commercial distributed version control tool developed by Códice Software for Microsoft Windows, Mac OS X, Linux, and other operating systems. It includes a command-line tool, native GUIs, diff and merge tool and integration with a number of IDEs
For Databricks CEO and cofounder Ali Ghodsi, the Einblick deal is part of the company’s “asymmetric” strategy—essentially, to zig, while everyone else zags. The M&A marketplace is stilted ...
Richard Stallman, the founder of the free software foundation (FSF) in 1985, quickly decided against endorsing the term. [17] [18] The FSF's goal was to promote the development and use of free software, which they defined as software that grants users the freedom to run, study, share, and modify the code. This concept is similar to open source ...
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
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Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.By using DCAT to describe datasets in catalogs, publishers increase discoverability and enable applications to consume metadata from multiple catalogs.