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DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]
Modules work over JSON and standard output and can be written in any language. Uses YAML to express reusable descriptions of systems. Bcfg2 Software to manage the configuration of a large number of computers using a central configuration model and the client–server paradigm. The system enables reconciliation between clients' state and the ...
Distributed Data Management Architecture (DDM) is IBM's open, published software architecture for creating, managing and accessing data on a remote computer. DDM was initially designed to support record-oriented files; it was extended to support hierarchical directories, stream-oriented files, queues, and system command processing; it was further extended to be the base of IBM's Distributed ...
Development of the model continued in a Joint context and in November 2003 the C2 Information Exchange Data Model (C2IEDM) Edition 6.1 was released. Additional development to this model, incorporating the NATO Corporate Reference model, resulted in the model changing its name again to JC3IEDM with JC3IEDM Ed 0.5 being issued in December 2004.
ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free replacement for SAS
Relational data models are based on first-order predicate logic and all data is represented in terms of tuples that are grouped into relations. In the relational model, related records are linked together with a "key", where the key is unique to an entry's data type definition. Such relational models provide declarative methods for specifying ...
Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
The most recent OCIM took place in Berlin, [10] coincident with the W3C Workshop on Web Standards for Graph Data Management, in March 2019. [ 11 ] At that meeting, there was a consensus to work towards Cypher becoming a significant input into a wider project for an international standardized Graph Query Language called GQL.