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Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.
Apache ZooKeeper is an open-source server for highly reliable distributed coordination of cloud applications. [2] It is a project of the Apache Software Foundation.. ZooKeeper is essentially a service for distributed systems offering a hierarchical key-value store, which is used to provide a distributed configuration service, synchronization service, and naming registry for large distributed ...
Tool Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization
Kudu was designed and optimized for OLAP workloads. Like HBase, it is a real-time store that supports key-indexed record lookup and mutation. [6] Kudu differs from HBase since Kudu's datamodel is a more traditional relational model, while HBase is schemaless.
Aerospike Graph is a highly scalable, low-latency property graph database built on Aerospike’s proven real-time data platform. Aerospike Graph combines the enterprise capabilities of the Aerospike Database - the most scalable real-time NoSQL database - with the property graph data model via the Apache Tinkerpop graph compute engine.
The ANSI/SPARC three-level architecture. This shows that a data model can be an external model (or view), a conceptual model, or a physical model. This is not the only way to look at data models, but it is a useful way, particularly when comparing models. [1] In 1975 ANSI described three kinds of data-model instance: [5]
MarkLogic was originally named Cerisent when it was founded in 2001 [5] by Christopher Lindblad, who was the Chief Architect of the Ultraseek search engine at Infoseek, as well as Paul Pedersen, a professor of computer science at Cornell University and UCLA, and Frank R. Caufield, Founder of Darwin Ventures, [6] to address shortcomings with existing search and data products.
A form of enterprise application integration, it is intended to reduce costs and standardize on agreed data definitions associated with integrating business systems.A canonical model is any model that is canonical in nature, meaning a model that is in the simplest form possible based on a standard enterprise application integration (EAI) solution.