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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Using the right dashboard and data visualizations, it’s possible to hone in on any trends or patterns that uncover inefficiencies within your processes.

Big Data 275
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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

It can provide a complete solution for data exploration, data analysis, data visualization, viz applications, and model deployment at scale. NiFi’s data provenance capability makes it simple to enhance, test, and trust data that is in motion. CM facilitates issue diagnosis with health test functions, metrics, charts, and visuals.

Testing 76
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5 ways IT pros can accelerate webpages in a day at no cost

CIO Business Intelligence

Over the years, hundreds of techniques have been introduced to optimize website speed. Optimize images for the target device Edgio <img src=”…” loading=”lazy” height=”Apx” width=”Bpx” /> Image optimization is the most overlooked technique due to concerns over image quality – especially when converting to formats like WebP.

IT 89
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Take Advantage Of Mobile Dashboards – Examples & Selected Designs

datapine

Here, we will consider what a mobile dashboard is, the dashboard mobile design, making visualizations on mobile, and real business examples to explain the benefits this most flexible of data-driven technology can offer your business. Exclusive Bonus Content: Why Is Mobile Important? Why Are Mobile Dashboards Important?

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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

As a result, the optimal architecture for achieving mainframe inclusiveness balances activities on the mainframe with its integration into the broader DevOps toolchain. One source of such software is the Open Mainframe Project (OMP), hosted by the Linux Foundation and championed by IBM, Broadcom, Rocket Software and others.

Software 121
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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

By Robert Thanaraj , Ehtisham Zaidi , and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done.

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6 considerations to take when approximating cloud spend

IBM Big Data Hub

Here are six ways organizations can improve their cloud cost management, increase cloud cost optimization and drive as much value from their cloud budgets as possible. Cloud spend, like other IT spend, can proliferate quickly if there is no cloud management platform that provides clear cost visibility or usage visualizations.