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Framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache HBase: Non-relational, distributed database modeled after Google's BigTable Apache Hive: Component of Hortonworks Data Platform(HDP). Hive provides a SQL-like interface to data stored in HDP. Apache JackRabbit
Compared to traditional techniques of exchange between an object-oriented language and a relational database, ORM often reduces the amount of code that needs to be written. [2] Disadvantages of ORM tools generally stem from the high level of abstraction obscuring what is actually happening in the implementation code. Also, heavy reliance on ORM ...
Object–role modeling (ORM) is used to model the semantics of a universe of discourse. ORM is often used for data modeling and software engineering . An object–role model uses graphical symbols that are based on first order predicate logic and set theory to enable the modeler to create an unambiguous definition of an arbitrary universe of ...
Universal Design for Learning (UDL) is an educational framework based on research in the learning theory, including cognitive neuroscience, that guides the development of flexible learning environments and learning spaces that can accommodate individual learning differences. [1]
Some organizations have adopted the PADDIE model without the M phase. Pavlis Korres (2010), in her instructional model (ESG Framework), [10] has proposed an expanded version of ADDIE, named ADDIE+M, where Μ=Maintenance of the Learning Community Network after the end of a course. The Maintenance of the Learning Community Network is a modern ...
Turbine: a servlet based framework that allows Java developers to quickly build web applications; TVM: an end to end machine learning compiler framework for CPUs, GPUs and accelerators; UIMA: unstructured content analytics framework; Unomi: reference implementation of the OASIS customer data platform specification
Dapper is an object–relational mapping (ORM) product for the Microsoft .NET platform. It provides a framework for mapping an object-oriented domain model to a traditional relational database. [4] Its purpose is to relieve the developer from a significant portion of relational data persistence-related programming tasks.
Deeplearning4j serves machine-learning models for inference in production using the free developer edition of SKIL, the Skymind Intelligence Layer. [27] [28] A model server serves the parametric machine-learning models that makes decisions about data. It is used for the inference stage of a machine-learning workflow, after data pipelines and ...