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Data Mesh vs. Data Fabric: What’s the Difference?

Pure Storage

Data Mesh vs. Data Fabric: What’s the Difference? by Pure Storage Blog In today’s digital landscape, organizations face a wide array of data management challenges due to the increasing volume, variety, and complexity of data—and all the various apps and users who need to access that data.

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Data Fabric vs. Data Lake vs. Data Warehouse

Pure Storage

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.

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Harnessing Static and Dynamic Code Scanning in DevSecOps

Pure Storage

Harnessing Static and Dynamic Code Scanning in DevSecOps by Pure Storage Blog This blog on static and dynamic code scanning in DevSecOps was co-authored by Dr. Ratinder Paul Singh Ahuja, CTO for Security and Networking, and Rajan Yadav , Director of Engineering, CNBU (Portworx), Pure Storage.

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How to Strengthen Your Data Supply Chain

Pure Storage

Supply chains—or more specifically, data supply chain failures —are a hot topic right now. As they do that, they’ll also want to consider whether another business-critical supply chain they rely on needs improvement: their data supply chain. What is a Data Supply Chain? Caption: The data supply chain. .

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Oracle DBaaS Products Comparison

Pure Storage

Oracle DBaaS Products Comparison by Pure Storage Blog “As-a-service” products have been around since the 1960s and have exploded over the last decade into an industry of their own. The emergence of database as a service (DBaaS) has transformed the way organizations handle their data needs.

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It’s Time for Automotive OEMs to Put Data First

Pure Storage

Data-led technological advances are sweeping away decades of engineering-led tradition that was based on volume manufacturing and vehicle sales. First movers like Tesla are setting the pace as primarily a software and data business, while their role as a manufacturer becomes almost a supporting function.

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10 Incredibly Useful Time Series Forecasting Algorithms

Advancing Analytics

Time series forecasting is a data science task that is critical to a variety of activities within any business organisation. Time series forecasting is a useful tool that can help to understand how historical data influences the future. Cyclical variations: Occurs when data exhibit rises and falls at irregular intervals.