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Amazon Web Services Marketplace China: Hamster Data Service Platform
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    Hamster Data Service Platform

     
    As an excellent development platform carefully built for enterprise data integration and business analysis, it comprehensively covers key processes such as data extraction, cleaning, in-depth analysis and accurate publication, and also cleverly integrates many commonly used enterprise-level application services. Its built-in multi-functional modules, such as data services, file services, real-time data flow, and instant messaging services, effectively help enterprises plan and implement digital strategies on the basis of ensuring that the data processing process is transparent and controllable!

    Overview

    As an excellent development platform carefully built for enterprise data integration and business analysis, it covers all aspects of key processes such as data extraction, cleaning, in-depth analysis and accurate publication, and also cleverly integrates many commonly used enterprise-level application services, effectively helping enterprises plan and implement digital strategies on the basis of ensuring that the data processing process is transparent and controllable!

    The platform introduces a database sandbox execution model, and each task is independently isolated from each other, which strongly guarantees the independence and confidentiality of data processing between different business departments and processes within the enterprise. At the same time, on the one hand, the strong data processing capabilities of the database itself are deeply exploited, and on the other hand, the technical threshold requirements for development and implementation personnel have been drastically reduced to effectively help enterprises reduce costs and increase efficiency strategies.

    Relying on a unique unified data management model, the platform can implement unified and efficient management of various heterogeneous data sources, combined with a detailed account role permission control system to achieve fast, efficient, and safe data resource allocation and management results.

    For enterprise-level users, the platform pre-integrates the ability to interact with a large number of enterprise-level applications and data services. Database services: conventional relational and non-relational databases and various cloud databases; internal enterprise applications: mainstream systems such as SAP/BW; file service systems: covering SFTP, shared directories, and cloud services such as Amazon Web Services S3; in the field of instant messaging, common communication tools such as WeChat, DingTalk, Feishu, and Teams are all internally integrated, and successfully achieve functional interaction, data flow, and accurate release between various systems, promoting a qualitative leap forward in the efficiency of information circulation and distribution within the enterprise.

    The system also provides powerful Excel report processing skills, supports multiple modes such as customization and templates, and fully realizes characteristics such as cell formulas, styles, and condition control. Combining the platform's data integration advantages, users can easily build powerful automated reports based on various data sources supported by the platform and publish them to the outside world using email or integrated instant messaging services.

    In view of individual differences in business requirements, the platform integrates the Python development environment. Users can not only accurately and efficiently solve the problems of individual enterprise needs through customized code segments, further broaden the application boundaries of the platform, and unlock more possible scenarios.

    Highlights

    • Secure data processing: The platform has a database sandbox mode with task isolation to ensure data independence and confidentiality. Explore database capabilities, lower personnel technical thresholds, reduce costs, achieve secure management, and allow enterprises to process data with confidence.
    • Strong system integration: Integrate the data capabilities of multiple applications and services, realize function call and data flow between systems, improve the efficiency of enterprise information circulation, and promote collaboration.
    • Respond flexibly to individual needs: By integrating the Python environment, users can process business logic through code or compressed packages, solve individual needs, expand application scenarios, and help enterprises develop flexibly.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2019_01

    Pricing

    Hamster Data Service Platform

     
    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional Amazon Web Services infrastructure costs may apply. Use the Amazon Web Services Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    Returns and exchanges are currently not supported, please contact support@flyenter.com  with any questions

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. Amazon Web Services Marketplace China does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    An advanced database sandbox execution architecture is used to ensure data independence and confidentiality during parallel processing of multiple tasks, and reduce operation and maintenance costs and technical difficulties. Deeply integrate the enterprise-level application ecosystem, achieve seamless collaboration between heterogeneous systems with efficient data interfaces and middleware, and optimize data flow efficiency. What is particularly prominent is that the built-in code platform is equipped with rich industry-level code templates, supports out-of-the-box use, and can quickly customize complex business logic with the Python integrated environment, greatly shortens the project development cycle, and strongly empowers the enterprise's digitization process.

    Additional details

    Usage instructions

    Product Upgrade Guide: 1: Stop the currently running service systemctl stop hamster-portal.service systemctl stop hamster-scheduler.service systemctl stop hamster-slaver.service

    2: Back up the configuration file Back up the corresponding configuration file in the installation directory: appSettings.json file and nlog.config configuration file

    3: Delete the original deployment directory rm -rf/hamster/hamster-portal rm -rf/hamster/hamster-scheduler rm -rf/hamster/hamster-slaver

    4: Unzip the new installation package and deploy the updated version to the default directory, such as: unzip hamser_portal_linux_8.zip -d/hamster/hamster-portal chmod +X/hamster/hamster-portal/flyenter.hamster.porta.dll

    unzip hamster_scheduler_linux_8.zip -d/hamster/hamster-scheduler chmod +X /hamster/hamster-scheduler/flyenter.hamster.scheduler.dll

    unzip hamster_slaver_linux_8.zip -d/hamster/hamster-slaver chmod +X /hamster/hamster-slaver/flyenter.hamster.slaver.dll

    5: The configuration parameters adjust the configuration file content of the new deployment project according to the configuration file that was previously backed up

    1. start service systemctl start hamster-portal.service systemctl start hamster-scheduler.service systemctl start hamster-slaver.service

    Resources

    Vendor resources

    Support

    Vendor support

    Service hours:

    • Monday to Friday 8:00 - 20:00, Saturday to Sunday 10:00 - 19:00 Contact:
    • 18918373926
    • support@flyenter.com  Support content:
    • Provide business support related to the authorization of the Hamster Data Service Platform for Purchasing Hamsters
    • Provide technical support for delivery services based on the hamster data service platform
    • Provide enterprise digital business and related technical advice

    Amazon Web Services infrastructure support

    Amazon Web Services Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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