data storage model

USAGE SUMMARY

The phrase "data storage model" is correct and usable in written English.
You can use it when discussing the structure or organization of data within a system or database. Example: "The data storage model we chose allows for efficient retrieval and management of large datasets."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

The temporal sequential database utilizes dedicated data storage model to provide better service of data storage and query.

Protection and Control of Modern Power Systems

It allows the user to export Gocad© objects to a data storage model that regularizes the topological relationships between objects.

Computers & Geosciences

At the database level, a data storage model based on grouping the points in blocks is available in Oracle and PostgreSQL.

Computers & Graphics

It also uses a data storage model that makes it easy for companies to locate its data to allow the kind of auditing required by healthcare privacy requirements and HIPAA.

TechCrunch

In view of the demand of massive unstructured data storage and fast retrieval, in this study, it puts forward a distributed and unstructured database HBase under the Hadoop platform to store massive temporal data, and to build a temporal data storage model with the store unit as the temporal set.

Procedia Computer Science

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

Most application developers today are not farmiliar with non-relational data storage models, since RDMS dominate the market and most frameworks and language environments have little to no support for alternates.

TechCrunch

More specifically, a data storage relational model which applies to solving resource-intensive and different-scale problems is proposed.

Modern Electronic Materials

Some big data storage, computation models, and their architecture are introduced.

Big Data Analytics for Sensor-Network Collected Intelligence

With the rise of readily accessible computation and data storage capabilities, models have been increasingly leveraged for generating system data to support decision making.

Procedia Computer Science

Data storage and remote model execution services compose and query model results across executions.

Procedia Computer Science

An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM.

Computer-Aided Design

Expert writing Tips

Best practice

When discussing the overall design of a data system, use "data architecture". When referring to the specific way data is structured for storage, use "data storage model".

Common error

Avoid using "data storage model" as a synonym for the entire data system design. A "data storage model" is a component within the broader "data architecture".

Linguistic Context

The phrase "data storage model" functions as a noun phrase that identifies a specific approach or method for organizing and storing data. Ludwig AI indicates this phrase is grammatically correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

80%

News & Media

10%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data storage model" is a grammatically correct and usable term that refers to the specific method or approach used for organizing and storing data. As Ludwig AI confirms, it's suitable for technical and academic discussions. While the phrase isn't overly common, occurring mostly in scientific and technical contexts, understanding its usage is crucial for anyone involved in data management and system design. Remember to differentiate it from the broader concept of "data architecture" and consider context when choosing the right phrase. Alternative phrases like "data architecture" or "storage schema" might be more appropriate depending on the specific nuance you want to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data architecture

Focuses on the overall structure and organization of data rather than just the storage aspect.

storage schema

Emphasizes the structured organization and format of stored data.

database design

Highlights the planning and structure of a database system for storing data.

data management framework

Broader term encompassing the policies and practices for managing data, including storage.

information repository structure

Refers to the way information is organized and stored in a repository.

data storage paradigm

Highlights the approach to storing data, focusing on a specific methodology.

storage solution

More practical and business oriented that refers directly to the means of storing data.

data organization method

Focuses on how data is arranged for efficient access and management.

data preservation strategy

Emphasizes the long-term maintenance and accessibility of stored data.

file system architecture

Deals with the file storage component of operating systems.

FAQs

How is a "data storage model" different from a database schema?

A "data storage model" is a higher-level concept describing how data is organized, while a database schema is a detailed blueprint of the database structure, including tables, fields, and relationships. A database schema is a specific implementation of a data storage model.

What are common types of "data storage model"?

Common types include relational, NoSQL, key-value, document-oriented, and graph models. The choice depends on the specific requirements of the application, such as scalability, data complexity, and query patterns.

How do I choose the right "data storage model" for my application?

Consider factors like data volume, velocity, variety, and veracity. Also, evaluate the complexity of data relationships, query requirements, and scalability needs. Testing different models with representative data is also crucial.

What's the difference between "data storage model" and "data management framework"?

A "data storage model" focuses on how data is structured and stored, while a "data management framework" encompasses the broader set of policies, procedures, and technologies for managing data throughout its lifecycle, including storage, governance, and security.