100+ datasets found
  1. w

    Dataset of books called OS data processing : with review of OS/VS

    • workwithdata.com
    Updated Apr 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2025). Dataset of books called OS data processing : with review of OS/VS [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=OS+data+processing+%3A+with+review+of+OS%2FVS
    Explore at:
    Dataset updated
    Apr 17, 2025
    Dataset authored and provided by
    Work With Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset is about books. It has 1 row and is filtered where the book is OS data processing : with review of OS/VS. It features 7 columns including author, publication date, language, and book publisher.

  2. OS Terrain 50 (Download Only)

    • data.catchmentbasedapproach.org
    • hub.arcgis.com
    Updated Apr 21, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri UK (2020). OS Terrain 50 (Download Only) [Dataset]. https://data.catchmentbasedapproach.org/maps/esriukcontent::os-terrain-50-download-only
    Explore at:
    Dataset updated
    Apr 21, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK
    Area covered
    Description

    Welcome to the Ordnance Survey Data Download in ArcGIS Online! This is a feature service that enables ArcGIS users to download OS Open Datasets via the ArcGIS Platform. These downloads come from the OS Open Data Hub.OS Terrain® 50: Visualise simple landscapes in 3D and bring your geographic analysis to life.This dataset comes as a Shapefile (.shp), an ASCII Grid and a Geopackage.Download ShapefileDownload ASCII GridDownload GeopackagePlease see here for the Terms Currency: This dataset points to the OS datahub so will be the most current dataset that they have available.

  3. B

    Big Data Cluster Operating System Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). Big Data Cluster Operating System Report [Dataset]. https://www.marketreportanalytics.com/reports/big-data-cluster-operating-system-52578
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Big Data Cluster Operating System (BD-COS) market is experiencing robust growth, driven by the escalating demand for efficient and scalable data management solutions across diverse sectors. The increasing volume, velocity, and variety of data generated necessitate sophisticated operating systems capable of handling complex analytical workloads. Cloud-based BD-COS solutions are leading the market due to their scalability, cost-effectiveness, and ease of deployment. The enterprise segment dominates current market share, fueled by large organizations' need for robust data analytics capabilities to gain competitive advantage and improve decision-making. However, the individual segment is witnessing significant growth, driven by the increasing adoption of data analytics tools among smaller businesses and individual data scientists. Key players like Cloudera, Databricks, and IBM are actively innovating and expanding their offerings to cater to evolving market needs, fostering competition and driving further advancements in BD-COS technology. The North American market currently holds a significant share due to early adoption and the presence of major technology hubs. However, regions like Asia-Pacific are showing promising growth potential, driven by rising digitalization and increasing investments in big data infrastructure. While challenges such as security concerns and the complexity of managing large-scale clusters persist, the overall market outlook for BD-COS remains exceptionally positive, promising substantial growth throughout the forecast period. The continued advancement of cloud computing and the rising adoption of artificial intelligence and machine learning are key factors pushing BD-COS market expansion. Integration with advanced analytics platforms and the emergence of serverless computing paradigms are further shaping the landscape. The on-premises segment, while still significant, faces challenges due to higher infrastructure costs and maintenance complexities compared to cloud solutions. Future growth will largely depend on the successful integration of BD-COS with emerging technologies like edge computing and the development of more user-friendly interfaces to broaden accessibility. Geographic expansion, particularly into developing economies, will be a critical strategy for vendors seeking to capitalize on untapped market potential. Strategic partnerships and mergers and acquisitions are likely to play a significant role in shaping the competitive landscape in the coming years. The long-term forecast projects sustained growth driven by the continuous expansion of data generation and the growing need for powerful, efficient systems to manage and analyze this data.

  4. h

    OS-Lab-Traced-Data

    • huggingface.co
    Updated Feb 10, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shayan Kebriti (2024). OS-Lab-Traced-Data [Dataset]. https://huggingface.co/datasets/i4mShayan/OS-Lab-Traced-Data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2024
    Authors
    Shayan Kebriti
    Description

    i4mShayan/OS-Lab-Traced-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

  5. h

    OS-Lab-Sample-Data

    • huggingface.co
    Updated Feb 11, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shayan Kebriti (2024). OS-Lab-Sample-Data [Dataset]. https://huggingface.co/datasets/i4mShayan/OS-Lab-Sample-Data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 11, 2024
    Authors
    Shayan Kebriti
    Description

    i4mShayan/OS-Lab-Sample-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

  6. Materials Data on Os by Materials Project

    • osti.gov
    Updated Jan 11, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Materials Project (2019). Materials Data on Os by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1675450
    Explore at:
    Dataset updated
    Jan 11, 2019
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    Os is alpha-like structured and crystallizes in the monoclinic P2_1/c space group. The structure is one-dimensional and consists of four Os ribbons oriented in the (1, 0, 0) direction. there are two inequivalent Os sites. In the first Os site, Os is bonded in a bent 120 degrees geometry to two equivalent Os atoms. Both Os–Os bond lengths are 2.25 Å. In the second Os site, Os is bonded in a bent 120 degrees geometry to two equivalent Os atoms.

  7. Server Operating System Market Analysis North America, Europe, APAC, South...

    • technavio.com
    Updated Aug 21, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Technavio (2024). Server Operating System Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Germany, UK, China, Canada - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/server-operating-system-market-analysis
    Explore at:
    Dataset updated
    Aug 21, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United Kingdom, United States, Global
    Description

    Snapshot img

    Server Operating System Market Size 2024-2028

    The server operating system market size is estimated to increase by USD 12.19 billion and grow at a CAGR of 10.87% between 2023 and 2028. The market is experiencing significant growth, driven by several key factors. Firstly, the increasing investments in the construction of hyper-scale data centers are fueling the demand for advanced server operating systems that can efficiently manage large-scale infrastructure. Secondly, technological advancements in server operating systems, such as containerization and virtualization, are enabling organizations to optimize their IT resources, data center, and improve application performance. However, the market is also facing challenges, including the rising number of security issues, which require server operating systems to provide robust security features to protect against cyber threats. Additionally, the growing complexity of IT environments is necessitating the need for server operating systems that can seamlessly integrate with various applications and tools. Overall, the server operating system market is expected to continue its growth trajectory, driven by these market trends and challenges.

    What will be the Size of the Market During the Forecast Period?

    To learn more about this report, View Report Sample

    Market Segmentation

    By Deployment

    The market share growth by the on-premises segment will be significant during the forecast period. On-premises solutions in the global market are popular among companies looking to manage their IT infrastructure. On-premises solutions give companies complete control over the hardware and software, allowing them to adapt the system to their individual needs. One of the main benefits of on-premises solutions is increased security and privacy. Businesses can keep data and applications behind firewalls and other security measures, reducing the risk of cyberattacks and data breaches. This is especially important for software companies that handle sensitive data such as financial or medical information.

    Get a glance at the market contribution of various segments View the PDF Sample

    The on-premises segment was valued at USD 7.57 billion in 2018. On-premises solutions allow companies to choose their hardware and software companies, design their systems to meet their specific needs and make changes and upgrades as needed. This gives software companies more control over their IT infrastructure, helping them achieve the best possible performance. On-premises solutions also offer improved performance and reliability compared to cloud-based solutions. However, on-premises solutions can be expensive up-front, as software companies must invest in the hardware, software, and staff required to maintain and manage the operating system.

    By Region

    For more insights on the market share of various regions Download PDF Sample now!

    North America is estimated to contribute 40% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. One of the reasons why North America has a strong position in the market is the high acceptance of cloud-based services by enterprises. These cloud-based services require advanced systems for optimal performance and security. North America is home to major cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Another factor contributing to the growth of the North American market is the increasing demand for data centers.

    The North American region is home to some of the world's largest data centers. Companies such as Microsoft Corp (Microsoft), IBM Corp (IBM), and Oracle Corp (Oracle) have a strong presence in North America and invest heavily in research and development (R&D) to innovate and gain a competitive advantage over other companies. For example, Google LLC (Google) announced its USD 750 million new data center in Nebraska to meet its goal of spending USD 9.5 billion on new Google data centers and offices in 2022. Such expansion plans drive the growth of the market in North America during the forecast period.

    Market Dynamics and Customer Landscape

    The market is a significant segment of the IT industry, focusing on software that manages and operates servers in data centers and cloud platforms. Server OS includes various types such as Application Servers, File Servers, Database Servers, Mail Servers, Web Servers, and others. These operating systems are essential for Client Server Infrastructure and Client Machinery to function effectively in Network environments. Cloud computing has been a major driver in the growth of the Server OS market, with hybrid cloud environments and 5G networking technologies playing a pivotal role. Server OS software is integral to enterprise migration and digital transformation, as businesses

  8. W

    OS Linked Data

    • cloud.csiss.gmu.edu
    • data.europa.eu
    • +1more
    Updated Dec 21, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United Kingdom (2019). OS Linked Data [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/os-linked-data1
    Explore at:
    Dataset updated
    Dec 21, 2019
    Dataset provided by
    United Kingdom
    Description

    Linked Data is a growing part of the Web where data is published on the Web and then linked to other published data in much the same way that web pages are interlinked using hypertext.

    OS Linked Data site takes some of the OS OpenData products and produces them in machine readable languages and publishes them in this easy to use website for all users to enjoy.

  9. e

    Data from: Distributed OS

    • paper.erudition.co.in
    html
    Updated Aug 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Einetic (2025). Distributed OS [Dataset]. https://paper.erudition.co.in/makaut/bachelor-of-computer-application-2020-2021/2/operating-systems
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of chapter Distributed OS of Operating Systems, 2nd Semester , Bachelor of Computer Application 2020-2021

  10. fsq-os-places

    • huggingface.co
    Updated Jul 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Foursquare Labs, Inc. (2025). fsq-os-places [Dataset]. https://huggingface.co/datasets/foursquare/fsq-os-places
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset provided by
    Foursquarehttp://foursquare.com/
    Authors
    Foursquare Labs, Inc.
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Access FSQ OS Places

    With Foursquare’s Open Source Places, you can access free data to accelerate geospatial innovation and insights. View the Places OS Data Schemas for a full list of available attributes.

      Prerequisites
    

    In order to access Foursquare's Open Source Places data, it is recommended to use Spark. Here is how to load the Places data in Spark from Hugging Face.

    For Spark 3, you can use the read_parquet helper function from the HF Spark documentation. It… See the full description on the dataset page: https://huggingface.co/datasets/foursquare/fsq-os-places.

  11. Os Importer/Buyer Data in USA, Os Imports Data

    • seair.co.in
    Updated Apr 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim (2025). Os Importer/Buyer Data in USA, Os Imports Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  12. Materials Data on Os by Materials Project

    • osti.gov
    Updated Jul 15, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) (2020). Materials Data on Os by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1208475
    Explore at:
    Dataset updated
    Jul 15, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    Description

    Os is Magnesium structured and crystallizes in the hexagonal P6_3/mmc space group. The structure is three-dimensional. Os is bonded to twelve equivalent Os atoms to form a mixture of edge, face, and corner-sharing OsOs12 cuboctahedra. There are six shorter (2.70 Å) and six longer (2.76 Å) Os–Os bond lengths.

  13. o

    Computational stability data of Os from Density Functional Theory...

    • oqmd.org
    Updated Mar 7, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Open Quantum Materials Database (2022). Computational stability data of Os from Density Functional Theory calculations [Dataset]. https://oqmd.org/materials/composition/Os
    Explore at:
    Dataset updated
    Mar 7, 2022
    Dataset authored and provided by
    The Open Quantum Materials Database
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Stability, Composition, Decomposition Energy
    Measurement technique
    Computational, Density Functional Theory
    Description

    This composition appears in the Os region of phase space. It's relative stability is shown in the Os phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

  14. d

    OS Priority Ponds with Survey Data (Polygons)

    • environment.data.gov.uk
    Updated Apr 6, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Natural England (2022). OS Priority Ponds with Survey Data (Polygons) [Dataset]. https://environment.data.gov.uk/dataset/07867aee-2ec2-49a3-8d53-9d8311b2c1b3
    Explore at:
    Dataset updated
    Apr 6, 2022
    Dataset authored and provided by
    Natural Englandhttp://www.gov.uk/natural-england
    License

    https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/

    Description

    OS Ponds (taken from the MasterMap Topography layer) that have a matching pond survey (Clean Water for Wildlife of Priority Ponds) within their geometry, or within 30m of their edge.

  15. o

    Computational data of Cubic Os from Density Functional Theory calculations

    • oqmd.org
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Open Quantum Materials Database, Computational data of Cubic Os from Density Functional Theory calculations [Dataset]. https://oqmd.org/materials/entry/7520
    Explore at:
    Dataset authored and provided by
    The Open Quantum Materials Database
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Name, Bandgap, Stability, Crystal volume, Formation energy, Symmetry spacegroup, Number of atoms in unit cell
    Measurement technique
    Computational, Density Functional Theory
    Description

    Data obtained from computational DFT calculations on Cubic Os is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files. This structure was obtained from ICSD (Collection code = 41523)

  16. a

    Geoscience Australia

    • portal.auscope.org.au
    ogc:wfs
    Updated Jul 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Re-Os Isotopes - Data (2025). Geoscience Australia [Dataset]. https://portal.auscope.org.au/geonetwork/srv/api/records/9be4fb0f5f3b3efd6d5226a99ee169a749f48c07
    Explore at:
    ogc:wfsAvailable download formats
    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Re-Os Isotopes - Data
    Area covered
    Australia
    Description

    A compilation of full analytical data tables for publicly-available Re-Os isotope data from both Geoscience Australia (GA) and literature-compiled sources. Each result links to information about the sample, sample collection site, method of analysis, and the source publication information.

  17. o

    Computational stability data of Os3C from Density Functional Theory...

    • oqmd.org
    Updated Jun 17, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The Open Quantum Materials Database (2025). Computational stability data of Os3C from Density Functional Theory calculations [Dataset]. https://oqmd.org/materials/composition/Os3C
    Explore at:
    Dataset updated
    Jun 17, 2025
    Dataset authored and provided by
    The Open Quantum Materials Database
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Stability, Composition
    Measurement technique
    Computational, Density Functional Theory
    Description

    This composition appears in the C-Os region of phase space. It's relative stability is shown in the C-Os phase diagram (left). The relative stability of all other phases at this composition (and the combination of other stable phases, if no compound at this composition is stable) is shown in the relative stability plot (right)

  18. Andorra Internet Usage: Operating System Market Share: All Platforms: webOS

    • ceicdata.com
    Updated Feb 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Andorra Internet Usage: Operating System Market Share: All Platforms: webOS [Dataset]. https://www.ceicdata.com/en/andorra/internet-usage-operating-system-market-share
    Explore at:
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 9, 2024 - Jun 11, 2024
    Area covered
    Andorra
    Description

    Internet Usage: Operating System Market Share: All Platforms: webOS data was reported at 0.000 % in 11 Jun 2024. This stayed constant from the previous number of 0.000 % for 10 Jun 2024. Internet Usage: Operating System Market Share: All Platforms: webOS data is updated daily, averaging 0.000 % from Apr 2024 (Median) to 11 Jun 2024, with 14 observations. The data reached an all-time high of 0.070 % in 07 Jun 2024 and a record low of 0.000 % in 11 Jun 2024. Internet Usage: Operating System Market Share: All Platforms: webOS data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Andorra – Table AD.SC.IU: Internet Usage: Operating System Market Share.

  19. s

    Os operations llc USA Import & Buyer Data

    • seair.co.in
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim, Os operations llc USA Import & Buyer Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Info Solutions PVT LTD
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  20. o

    miRNA Expression data from human osteosarcoma (OS)

    • omicsdi.org
    xml
    Updated Jul 14, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Masanori Kawano,Kazuhiro Tanaka (2015). miRNA Expression data from human osteosarcoma (OS) [Dataset]. https://www.omicsdi.org/dataset/arrayexpress-repository/E-GEOD-70367
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jul 14, 2015
    Authors
    Masanori Kawano,Kazuhiro Tanaka
    Variables measured
    Transcriptomics
    Description

    To explore possible oncogenic factors in OS, we used a microarray-based approach to profile changes in the expression of miRNAs in five OS cell lines and human mesenchymal stem cells (hMSCs). We used a microarray-based approach to profile in the miRNA expression of OS Human OS cell lines were analyzed with genome-wide expression arrays.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Work With Data (2025). Dataset of books called OS data processing : with review of OS/VS [Dataset]. https://www.workwithdata.com/datasets/books?f=1&fcol0=book&fop0=%3D&fval0=OS+data+processing+%3A+with+review+of+OS%2FVS

Dataset of books called OS data processing : with review of OS/VS

Explore at:
Dataset updated
Apr 17, 2025
Dataset authored and provided by
Work With Data
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset is about books. It has 1 row and is filtered where the book is OS data processing : with review of OS/VS. It features 7 columns including author, publication date, language, and book publisher.

Search
Clear search
Close search
Google apps
Main menu