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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

Big data is large chunks of information that cannot be dealt with by traditional data processing software. Big data analytics is finding applications in eLearning. By analyzing big data, Edutech businesses discover interesting ways to revolutionize learning as we know it.

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The Role of Big Data Analytics in Gaming

Smart Data Collective

Customers buy or download a game, and if the quality of the game doesn’t satisfy them, the position and popularity of the product start to sag. But what to do with all this information, and how to make a good game? Let’s figure it out. In this case, developers involve game analysts and experts in the gaming industry.

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Is your big data analysis secure? 3 proven ways to secure big data

Data Science Dojo

To counter these risks effectively, content filtering, network access control, and Office 365 security services emerge as valuable tools for safeguarding data against potential breaches. This article explores how these technologies can enhance data security in the era of big data analytics.

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These Top 3 Email Metrics Tools Are Made Possible By Big Data Analytics

Smart Data Collective

It integrates with SalesForce, and allows you to track email open and reply rates, attachment downloads, link clicks, and other valuable information for evaluating your approach to sales. Big data is making email marketing more effective than ever.

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Mastering the 10 Vs of big data 

Data Science Dojo

Variability also accounts for the inconsistent speed at which data is downloaded and stored across various systems, creating a unique experience for customers consuming the same data. [link] Veracity Veracity refers to the reliability of the data source.

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Download: MIT Sloan research, insights on advanced data and analytics practices | MIT Sloan

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Data has the power to help drive efficiencies, increase profitability, and bolster innovation. Without the right talent analyzing and translating …

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The parallel universe of computing: How multiple tasks happen simultaneously?

Dataconomy

Examples of parallel processing in daily life Parallel processing is used in many everyday applications, from simple tasks such as downloading files and browsing the web to more complex operations such as image and video processing. This can lead to more accurate insights and better decision-making.