Getting Above the Silos: The Rise of the Logical Data Fabric

| April 2, 2020

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With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a problem when organizations need timely, complete views of all relevant data about customers, supply chains, business performance, public health, and more, to make informed decisions. We need only look at the current COVID-19 pandemic to understand the importance of being able to view and share data across silos. One of the hottest topics in data architecture right now is data fabric. The notion of a data fabric is becoming important as organizations put more data in multiple cloud-based storage platforms, which can add to existing on-premises data silo problems. TDWI research finds that disconnected data silos are one of the biggest obstacles organizations face as they try to enable faster data insights. In the industry, ���data fabric” is variously called an architecture, a framework – and of course, a fabric. With data fabric, adherents aim to provide a more universal and holistic approach to integrating diverse components of physically distributed data environments. Ideally, a data fabric will use services to integrate the necessary components so that data flows more easily and users and applications do not have to use specialized code to access each data silo.

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Getting Above the Silos: The Rise of the Logical Data Fabric

Article | February 20, 2020

With so much valuable data potentially available, it can be frustrating for organizations to discover that they can’t easily work with it because it’s stuck in disconnected silos. Limited data access is a problem when organizations need timely, complete views of all relevant data about customers, supply chains, business performance, public health, and more, to make informed decisions. We need only look at the current COVID-19 pandemic to understand the importance of being able to view and share data across silos. One of the hottest topics in data architecture right now is data fabric. The notion of a data fabric is becoming important as organizations put more data in multiple cloud-based storage platforms, which can add to existing on-premises data silo problems. TDWI research finds that disconnected data silos are one of the biggest obstacles organizations face as they try to enable faster data insights. In the industry, “data fabric” is variously called an architecture, a framework – and of course, a fabric. With data fabric, adherents aim to provide a more universal and holistic approach to integrating diverse components of physically distributed data environments. Ideally, a data fabric will use services to integrate the necessary components so that data flows more easily and users and applications do not have to use specialized code to access each data silo.

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Spotlight

Deutsche Telekom

It is in our nature to seek the company of others: humans need this interaction in order to move forward. Sharing fosters closeness. It is the very reason we choose to share our important moments with those important to us.

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