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How to make cloud data work for your benefit

Data management in the cloud enables organizations to manage data between clouds and in conjunction with on-premises storage. However, management features and capabilities can vary among providers, so due diligence is required before implementing this approach.

Access this handbook to learn 3 cloud-based data management challenges, how to make cloud data work to your benefit, how to use multi-cloud data management and protection, and more.

These are also closely related to: "6 steps to better cloud management"

  • TIBCO data management: Capabilities and use cases

    From data governance to data warehousing, data integration to data virtualization, every organization must strategically apply these data management methodologies and technologies as best fits their organization.

    However, procuring one vendor per each of these approaches can muddy your overall strategy as complex management takes the wheel.

    That’s why there can be an advantage to getting all your data management solutions from the same vendor.

    Watch this video to see how choosing your data management programs from the same vendor can simplify your operations, and to view which data management products TIBCO offers.

  • What AI- and ML-based data management looks like

    Data management is becoming more complex by the minute, as data continues to be generated at an exponential rate.

    It’s no longer feasible or effective to govern data manually, and your data management solutions need to be flexible to fit in your constantly changing data ecosystem.

    Luckily, innovations in AI and machine learning have stepped in to automate data management across different systems and cloud solutions, an effective option for overwhelmed data managers.

    Read on to learn more about Lumada Data Services’ automated, AI, and ML-driven solutions with which you can manage high unstructured data volumes, simplify multi-cloud governance, and automate data discovery.

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