Search Results for "oracle-apex-workflow" - Page 2

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Showing 29 open source projects for "oracle-apex-workflow"

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  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
    Learn More
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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  • 1
    Advanced, enterprise-class J2EE Customer Relationship Management (CRM) suite including Sales Force Automation (SFA), marketing, campaign management, and customer service. Features similar to Salesforce.com, Netsuite, or Siebel OnDemand.
    Downloads: 0 This Week
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  • 2
    FORAN is an easy to use database webfrontend based on JSP, JAVA and Tomcat. It supports (mor or less ;) ) ORACLE, SAP-DB
    Downloads: 0 This Week
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  • 3
    the project is a front hand for mysql database users to prepare there project base application it is similar to Oracle Devloper2000
    Downloads: 0 This Week
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  • 4
    MagiSQL is an effort to build a Database web front-end in PHP, extensible in functionality (operations on the DB) and supported RDBMS. It's initially compatible with Oracle, MySQL, PostgreSQL and MS SQL Server.
    Downloads: 0 This Week
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  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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