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Channel: data infrastructure Archives - DATAVERSITY

Understanding Key-Value Databases

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In 1966, a DEC PDP-7 computer was delivered to the Massachusetts General Hospital without any programming. The hospital had invested in a computer but had no way to run it. At this time, there was very little in the way of software options, operating systems, or database support. The hospital did, however, have access to […]

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How Efficient is Edge Computing Compared to Cloud Computing?

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Click here to learn more about Vladimir Belyi. Edge computing and cloud computing solve different network infrastructure issues. While edge computing works in the Internet of things (IoT) industry, cloud computing includes software development platforms, storage, and servers provided via internet connectivity. Therefore, the use of edge computing does not preclude the use of cloud […]

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A Look Into 2020: What the New Year Will Bring for Data Infrastructure

Updating Your Network Data Infrastructure in 2020

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Click to learn more about author Jason Carolan. As the promise of 5G creeps slowly into the present day, the ways certain technologies and industries will be affected or transformed once the technology is in place are coming into focus. While many businesses cannot say they are using 5G today, many are experiencing its initial […]

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Instana Announces APM Integration with LogDNA Log Analysis Solution

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According to a new press release, “Instana, the leading provider of real-time application performance management (APM) solutions for cloud-native microservice applications, today announced an extension of the company’s one-click integration with Log Analysis tools to now support LogDNA. The Instana / LogDNA integration provides a seamless experience for Dev and Ops teams when troubleshooting microservices […]

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Hitachi Vantara Acquires Waterline Data, Introduces Lumada Data Catalog Solution

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A recent press release reports, “Hitachi Vantara, a wholly owned subsidiary of Hitachi, Ltd., today announced it has completed the acquisition of the assets of privately held Waterline Data, Inc., a provider of intelligent data cataloging solutions. Hitachi Vantara also introduced Lumada Data Catalog, incorporating Waterline’s data cataloging technology into the Lumada portfolio to solve […]

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How Scorecards and Dashboards Provide Clarity for Better Decision-Making

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Click to learn more about author Manish Godha Scorecards provide historical, current, and predictive views and reports of business operations and resources on easy-to-understand visual dashboards. They compare performance against forecasted benchmarks and targets. And they do so with the intent of tracking, managing, and improving an organization’s performance. By aggregating data from various enterprise […]

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Vapor IO Empowers the Autonomous Edge with Synse 3.0

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A recent press release reports, “Vapor IO, creators of the Kinetic Edge™ platform, the first nationwide platform for edge colocation, networking and exchange services, today announced Synse 3.0, the next generation of its open source API for making environmental data actionable within the network and data center. The developers of Synse 3.0 rebuilt portions of […]

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How to Migrate a Legacy Data Warehouse to the Cloud, Painlessly

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Click to learn more about author Roy Hegdish. Today’s data-intensive world presents both challenges and opportunities for modern organizations. Data grows exponentially, as do the breadth and depth of the types of analysis business departments wish to perform. Data infrastructure must adapt to this new reality of higher volumes, velocity, and veracity of data. A […]

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Nutanix Expands Integration with ServiceNow

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A recent press release reports, “Nutanix, a leader in enterprise cloud computing, today announced expanded integration with the leading digital workflow company ServiceNow, as well as new capabilities in Nutanix Calm, the company’s application automation and management solution for DevOps. As customers look to streamline their IT operations and costs during this global crisis, these […]

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Why a Crisis Calls for Bulletproofing Your Applications and Infrastructure

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Click to learn more about author Jim Hansen. We’re in an unprecedented global reality. Around the world, businesses have shifted to a remote work model, and, as a result, IT teams are under more strain than ever. Teams are remote. They’re dispersed to ad hoc home “offices” with children, pets, and significant others milling about. […]

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Case Study: Jerry’s Foods Improves In-Store Data Infrastructure

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The ability for people to be able to buy food and essential supplies, in-store IT and data infrastructure must be kept running. Jeff Miller, Director of IT at Jerry’s Foods, a national chain with fifty grocery, retail, hardware, and liquor stores, knows this reality very well. Miller explains that each Jerry’s Foods franchise includes many […]

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So You Want to Be a Data Engineer?

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The work of data engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. Data engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

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The Future of Enterprise Data Infrastructure − Autonomous Automation

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The enterprise storage estate is one of the areas where organizations can easily automate and substantially reduce costs without sacrificing application performance, availability, or cyber resilience. Automation involves the simplification of the data center infrastructure by consolidating the storage environment. However, it’s not enough to only have a solution that automates; it is important to have […]

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Data Fabric Tools: Benefits and Features

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The term “data fabric” refers to a complete architecture combining physical hardware layers, system processes, and virtual layers to allow data across systems to be accessed, managed, and analyzed at a single location. At the heart of data fabric tools is the concept of a virtual layer that sits on top of existing data infrastructure, such […]

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