Sat.Jul 15, 2017 - Fri.Jul 21, 2017

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75 Big Data terms everyone should know

Dataconomy

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list. Just to give you a quick recap, I covered the following terms in my first. The post 75 Big Data terms everyone should know appeared first on Dataconomy.

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Three signs you might be experiencing a NoSQL hangover

Dataconomy

Selecting a database technology to build your new application on is often a complex and even stressful process. While the business use case for the application is pretty straightforward, the nuances of the data platform that will power it are often much less clear, with the decision on what technology. The post Three signs you might be experiencing a NoSQL hangover appeared first on Dataconomy.

Database 158
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Disaster recovery plan essential under GDPR

Dataconomy

Data security is being pushed to the top of the agenda by the new General Data Protection Regulation that comes into force next May, and that means a focus on issues that many organisations have neglected. Companies across the globe that process data about European Union (EU) individuals will need. The post Disaster recovery plan essential under GDPR appeared first on Dataconomy.

Big Data 157
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How to Combat ‘Non-Subscription Churn’ with Predictive Analytics

Dataconomy

Simply put, non-subscription churn happens when users or customers, who can end their relationship with your business at any time, leave your website or sales funnel. These types of customers may gradually reduce their purchase frequency over time, or they may all of a sudden never buy again. Companies in nearly. The post How to Combat ‘Non-Subscription Churn’ with Predictive Analytics appeared first on Dataconomy.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?