data storage architecture

USAGE SUMMARY

The phrase "data storage architecture" is correct and usable in written English.
You can use it when discussing the design and organization of data storage systems in computing or information technology contexts. Example: "The company is investing in a new data storage architecture to improve efficiency and scalability."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

According to Hadoop technology in cloud computing, this paper puts forward the mass data storage architecture.

IERI Procedia

The Basic-Table combined with Extension-Table (BT&ET) layout has become the popular data storage architecture for SaaS currently.

Procedia Engineering

This chapter focuses on the issues of data storage, including data storage architecture options and the issues surrounding data backup and restoration.

Server Architectures Multiprocessors, Clusters, Parallel Systems, Web Servers, and Storage Solutions

This paper presented new big data storage architecture to optimize the efficiency of data mining or mass surveillance by integrating a distributed and embedded searching engine inside each storage drive.

Neurocomputing

The underlying data storage architecture is in general a cluster, and the execution model of data processing functions is Map-Reduce.

Data Science and Engineering

"All of them operate data centres in Europe, but may need to fundamentally restructure their data storage architecture and maybe even their corporate structure". A spokeswoman for the social network said: "Facebook operates in compliance with EU Data Protection law.

BBC

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

In traditional data storage architectures, specialized, proprietary hardware arrays and software have been used.

Forbes

It actually involves all facets of managing information, data manipulation, and data storage architectures and methodologies.

Journal of Industrial Engineering International

This flexibility also extends to the interaction with existing biobank infrastructures; dynamic consent technology can be configured to work with a wide range of Laboratory Information Management Systems and other data storage architectures.

European Journal of Human Genetics

We propose a differential versioning based data storage (DiVers) architecture for distributed storage systems, which relies on a novel erasure coding technique that exploits sparsity across versions.

Future Generation Computer Systems

Data storage and architecture is another challenge.

TechCrunch

Expert writing Tips

Best practice

When describing a system's "data storage architecture", be specific about whether you're referring to physical hardware, software implementation, or both. Clarify the level of abstraction to avoid ambiguity.

Common error

Avoid using "data storage architecture" as a blanket term. Instead, specify the type of architecture (e.g. cloud-based, distributed, hierarchical) to provide a clearer understanding of the system's design.

Linguistic Context

The phrase "data storage architecture" functions as a noun phrase that identifies and names a specific concept. In computing, it refers to the blueprint and organization of a system designed for storing data. Ludwig examples show that it is used to describe existing systems or propose new designs.

Expression frequency: Uncommon

Frequent in

Science

50%

News & Media

22%

Academia

19%

Less common in

Encyclopedias

3%

Formal & Business

3%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data storage architecture" refers to the overall design and organization of how data is stored in a system. Ludwig confirms that it's grammatically sound and usable across varied contexts, including science, news, and academia. Although the phrase isn't very common, understanding its nuances is key for technical professionals and data enthusiasts. When using "data storage architecture", clarity is paramount; be specific about the type of architecture and avoid overgeneralization. For alternatives, consider "data repository design" or "information storage framework". By following these guidelines, you can effectively communicate about complex data systems.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data repository design

Focuses on the blueprint and planning involved in creating a data repository.

information storage framework

Emphasizes the structural aspect of organizing and managing information.

storage system layout

Refers to the arrangement and organization of components within a storage system.

data preservation infrastructure

Highlights the foundational elements required for preserving data integrity and accessibility.

archival storage model

Specifies a plan or design for archiving data for long-term retention.

data management schema

Pertains to the structured framework for organizing and handling data.

digital storage configuration

Describes the specific setup and arrangement of digital storage components.

electronic record keeping structure

Addresses how electronic records are systematically organized and maintained.

data warehousing framework

Focuses specifically on the architectural design of a data warehouse.

database organization paradigm

Refers to a specific approach or philosophy for organizing databases.

FAQs

How is a "data storage architecture" different from a database?

A "data storage architecture" encompasses the overall design of how data is stored, managed, and accessed, including hardware and software components. A database is a specific component, often a software system, within that architecture. A database management system is just one of many possible parts of the "data storage architecture".

What are common types of "data storage architectures"?

Common types include centralized, distributed, cloud-based, and hybrid architectures. Each offers different trade-offs in terms of scalability, cost, and performance. Choosing the right one depends on the specific needs of the application and the nature of the data being stored.

What are the key considerations when designing a "data storage architecture"?

Key considerations include data volume, velocity, variety, and veracity (the 4 Vs of big data), as well as security, compliance, cost, performance requirements, and future scalability needs. A well-designed architecture addresses all these aspects.

How does cloud computing affect "data storage architecture"?

Cloud computing offers various storage options such as object storage, block storage, and file storage, impacting how "data storage architecture" is designed and implemented. Cloud solutions provide scalability, cost efficiency, and ease of management, but also introduce considerations around data locality and security. Understanding cloud services is essential in modern "data storage architecture" design.