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  • Climate Tools - DRI
    Find a wealth of climate data that from stations, gridded data and remote sensing Our mission is to improve resilience in California and Nevada by providing decision makers usable information through integrating cutting-edge physical and social science
  • Data - World Resources Institute
    Discover these datasets with WRI’s Data Explorer WRI maintains a suite of applications that help stakeholders turn data into action Built on WRI’s research and data, these tools make it easier to explore complex challenges and inform critical decisions
  • About work items and work item types - Azure Boards
    To track different types of work, choose a specific work item type The following images show the default work item types available for the four default processes Items in your backlog might be called User Stories (Agile), Issues (Basic), Product Backlog Items (Scrum), or Requirements (CMMI)
  • New Digital Research Intelligence Features | Similarweb
    Check out the latest features and enhancements we've added to the digital research intelligence product in April and since the start of the year
  • Modern Data Platform 2024: Components, Tools Benefits - Atlan
    A modern data platform integrates tools and technologies to manage, process, and analyze large volumes of data efficiently Key features include cloud storage, scalability, and compatibility with various data sources to support both structured and unstructured data
  • What Is a Data Platform? - IBM
    Today, many organizations rely on complex data pipelines to support data analytics, data science and data-driven decisions A modern data platform provides the tools that organizations need to safeguard data quality and unlock the value of their data
  • Google Drive: Share Files Online with Secure Cloud Storage | Google . . .
    Import and create Google Drive files within third party apps like Slack, Zoom, Salesforce, Atlassian, SAP and many more to streamline your work
  • 10 Examples of Data-Driven Web Applications - Dworkz
    Data-driven web applications rely on web technologies like machine learning that help provide recommendations and detect fraud in real-time Due to high demand, these apps need continuous development and upgrades to meet user needs


















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