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Episode 68 — Big Data, Monetization, and Analytics

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Manage episode 502254827 series 3685444
Indhold leveret af Jason Edwards. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jason Edwards eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Here, we dive into the world of big data, monetization, and analytics, all of which are topics in the CompTIA IT Fundamentals (ITF+) certification exam. You’ll learn what makes data “big,” from its massive volume and variety to the speed at which it is generated. We’ll discuss how organizations leverage analytics to discover patterns, predict trends, and make informed decisions that drive growth.

We’ll also address the concept of data monetization — turning raw information into revenue through targeted advertising, product improvements, and third-party partnerships. By understanding both the potential and the risks of large-scale data usage, you’ll be ready to answer exam questions involving the benefits, challenges, and ethical considerations of analytics. Produced by BareMetalCyber.com.

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91 episoder

Artwork
iconDel
 
Manage episode 502254827 series 3685444
Indhold leveret af Jason Edwards. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Jason Edwards eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Here, we dive into the world of big data, monetization, and analytics, all of which are topics in the CompTIA IT Fundamentals (ITF+) certification exam. You’ll learn what makes data “big,” from its massive volume and variety to the speed at which it is generated. We’ll discuss how organizations leverage analytics to discover patterns, predict trends, and make informed decisions that drive growth.

We’ll also address the concept of data monetization — turning raw information into revenue through targeted advertising, product improvements, and third-party partnerships. By understanding both the potential and the risks of large-scale data usage, you’ll be ready to answer exam questions involving the benefits, challenges, and ethical considerations of analytics. Produced by BareMetalCyber.com.

  continue reading

91 episoder

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