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Why Extreme Programming can be an asset or a liability for data scientists

Before implementing Extreme Programming, be sure you're aware of the potential benefits and drawbacks to this approach, and how that may affect your data scientists and end users.

Additional TechRepublic resources

AI missed repeat in 2017 Kentucky Derby, but outperformed the experts

3 tips for educating the CEO about big data projects

Is data scientist the most rewarding tech job? New report says yes

How to create your first Microsoft Power BI dashboard

How to avoid big data project failures: Your 5-step guide

SQL refresher: Counting and grouping data

Featured multimedia

Video: When it comes to automation filling jobs, is the age of AI different?

TechRepublic caught up with an AI expert to talk about the history of automation and employment, and the two schools of thought on whether the 'second machine age' is different.

Today's recommended downloads

Proofpoint - The Bec Survival Guide

(Proofpoint, Inc.)

The Hidden Costs of Microsoft Office 365 Security and Compliance

(Proofpoint, Inc.)

Report: The Future of the Finance Function.

(Workday)

Workday: 6 Must-Haves for Modern Financial Management Systems

(Workday)

Webinar: Make Finance Transformation Happen

(Workday)

Survey: The pros and cons of working with vendors

We'd like to find out what types of vendors companies are using, who's managing these relationships, and the pros and cons of working with vendors. This survey should take about five minutes to complete. Take the survey, and get a copy of the research report.

A special feature from ZDNet and TechRepublic

The cloud vs. data center decision

While companies used to have to justify everything they wanted to migrate to the cloud, that scenario has flipped in recent years. Here's how to make the best decisions about cloud computing.

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