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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.
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 ...
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.
A common data model (CDM) can refer to any standardised data model which allows for data and information exchange between different applications and data sources.Common data models aim to standardise logical infrastructure so that related applications can "operate on and share the same data", [1] and can be seen as a way to "organize data from many sources that are in different formats into a ...
Data Vault 2.0 has a focus on including new components such as big data, NoSQL - and also focuses on the performance of the existing model. The old specification (documented here for the most part) is highly focused on data vault modeling. It is documented in the book: Building a Scalable Data Warehouse with Data Vault 2.0. [13]
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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]