2 datasets found
  1. Cloud Database and DBaaS Market By Database Type (Relational, NoSQL,...

    • verifiedmarketresearch.com
    Updated Jun 7, 2024
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    VERIFIED MARKET RESEARCH (2024). Cloud Database and DBaaS Market By Database Type (Relational, NoSQL, NewSQL), Deployment (Public Cloud, Private Cloud, Hybrid Cloud), Application (Data Analytics, Data Storage, Data Management), End-User (Banking, Financial Services, & Insurance, Healthcare, Retail, IT & Telecom, Government, Manufacturing, Media & Entertainment), & Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/cloud-database-and-dbaas-market/
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    Dataset updated
    Jun 7, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Cloud Database and DBaaS Market size was valued at USD 18.28 Billion in 2024 and is projected to reach USD 83.95 Billion by 2031, growing at a CAGR of 20.99% during the forecasted period 2024 to 2031.

    The Cloud Database and Database as a Service (DBaaS) market is driven by the increasing adoption of cloud computing and big data analytics, as organizations seek scalable, flexible, and cost-effective data management solutions. The growing volume of unstructured data and the need for real-time data processing and analytics propel demand for cloud databases. Businesses' emphasis on reducing operational complexities and costs associated with traditional on-premise databases, coupled with the need for enhanced data security, disaster recovery, and compliance, further fuels market growth. The proliferation of IoT devices and the rise of AI and machine learning applications also contribute to the demand for robust cloud database solutions. Additionally, the trend towards digital transformation and the increasing reliance on remote work environments accentuate the need for reliable, accessible, and scalable database solutions.

  2. Between Our Worlds dataset+anime metadata

    • kaggle.com
    zip
    Updated May 3, 2023
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    Suvam mistry (2023). Between Our Worlds dataset+anime metadata [Dataset]. https://www.kaggle.com/datasets/suvammistry/20231-between-our-worlds-dataset-anime-metadata
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    zip(142621589 bytes)Available download formats
    Dataset updated
    May 3, 2023
    Authors
    Suvam mistry
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Official Website of this dataset: https://betweenourworlds.org/

    These Datasets are released in 2023. To find more older Datasets visit https://data.world/betweenourworlds

    ABOUT Between Our Worlds provides a monthly Linked Open Dataset about anime series and movies. The dataset does not only incorporate over 14.000 Animes, but also their seasons, episodes, trailers (e.g., on YouTube), streams (e.g., from Netflix), and characters.

    DETAILS Between Our Worlds is an initiative to provide metadata information about anime as Linked Open Data. Wait, what is this Linked Data thingy you speak of? Linked Data is a method of publishing structured data so that it can be interlinked and become more useful through semantic queries. This is something you can't do if you would, for example, store your data in a relational database. Furthermore, the word 'open' refers to the fact that the data is available under a free license.

    The core contribution of our initiative is a Linked Open Dataset. It is currently available by downloading the RDF datadump or by quering our Triple Pattern Fragments server.

    We cannot create our own tags in Kaggle. so, here are more detailed tags. TAGS: anime, episode, trailer, series, movie, character, stream, season

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Share
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Email
Click to copy link
Link copied
Close
Cite
VERIFIED MARKET RESEARCH (2024). Cloud Database and DBaaS Market By Database Type (Relational, NoSQL, NewSQL), Deployment (Public Cloud, Private Cloud, Hybrid Cloud), Application (Data Analytics, Data Storage, Data Management), End-User (Banking, Financial Services, & Insurance, Healthcare, Retail, IT & Telecom, Government, Manufacturing, Media & Entertainment), & Region for 2024-2031 [Dataset]. https://www.verifiedmarketresearch.com/product/cloud-database-and-dbaas-market/
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Cloud Database and DBaaS Market By Database Type (Relational, NoSQL, NewSQL), Deployment (Public Cloud, Private Cloud, Hybrid Cloud), Application (Data Analytics, Data Storage, Data Management), End-User (Banking, Financial Services, & Insurance, Healthcare, Retail, IT & Telecom, Government, Manufacturing, Media & Entertainment), & Region for 2024-2031

Explore at:
Dataset updated
Jun 7, 2024
Dataset provided by
Verified Market Researchhttps://www.verifiedmarketresearch.com/
Authors
VERIFIED MARKET RESEARCH
License

https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

Time period covered
2024 - 2031
Area covered
Global
Description

Cloud Database and DBaaS Market size was valued at USD 18.28 Billion in 2024 and is projected to reach USD 83.95 Billion by 2031, growing at a CAGR of 20.99% during the forecasted period 2024 to 2031.

The Cloud Database and Database as a Service (DBaaS) market is driven by the increasing adoption of cloud computing and big data analytics, as organizations seek scalable, flexible, and cost-effective data management solutions. The growing volume of unstructured data and the need for real-time data processing and analytics propel demand for cloud databases. Businesses' emphasis on reducing operational complexities and costs associated with traditional on-premise databases, coupled with the need for enhanced data security, disaster recovery, and compliance, further fuels market growth. The proliferation of IoT devices and the rise of AI and machine learning applications also contribute to the demand for robust cloud database solutions. Additionally, the trend towards digital transformation and the increasing reliance on remote work environments accentuate the need for reliable, accessible, and scalable database solutions.

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