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Data & Analytics

Cprime > Resource Center > Blog > Data & Analytics

Data & Analytics

Learn more about data analytics topics like data quality, big data, data science, data visualization, data governance, and more.

Types of Application Security

In an earlier post, we discussed what application security is and why it\'s important. That was covering the basics. So, what next? Once you know the importance of application security, you should of course work...

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Static Analysis With SonarQube

SonarQube is a platform for analyzing software for bugs, vulnerabilities, and code smells. In addition to performing a variety of static analysis checks on your source, it presents the results in the form of rich...

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Choosing the Best Data Visualization Tool for Your Teams

You have the data. Now you need to turn it into information. Perhaps you are thinking of exploring beyond what Excel can extract? And with good reason: Excel, though familiar, is bad at securely storing...

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Static Testing: What You Need to Know

What Is Static Testing? Static testing is a type of testing that\'s performed on a piece of software without executing the actual code. During testing, we review and validate the product and its supporting documents....

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Top 10 In-Demand Skills for IT & How L&D Can Help

A learning and development (L&D) team provides developers with the required budget and motivation to learn new skills or to improve existing skills. But what skills should you learn as a developer? This article explores...

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What is Observability and Why You Need It

As more organizations move from on-prem to cloud infrastructure, IT teams are finding that traditional monitoring solutions just aren’t getting the job done. Many monitoring vendors have moved beyond monitoring to observability. Sadly, some are doing nothing more...

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Data Mining vs. Machine Learning: Key Differences You Should Know

The massive outbreak in the generation of data has propelled advancements in the fields of machine learning and artificial intelligence. Although data mining has been around for a longer period of time, there\'s been a...

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What Is Data Quality?

Data is often the most valuable asset for a company because it\'s possible to use it in so many ways. You can use data to improve processes, gather insights, or predict trends through data analysis....

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Data Modeling: What, Why, and How—A Complete Guide

Data modeling is a crucial component for any business that can leverage data. Which is increasingly becoming the fate of every online business. There are tons of data touchpoints that businesses can analyze to increase...

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The Importance of Data Visualization

Everything we touch these days seems to create huge volumes of data. While buzz words like “big data” may have died off, the data itself remains. And when it comes to understanding, processing, analyzing, and...

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Agile Methodologies: How They Fit Into Data Science Processes

Agile methodologies are a set of frameworks that help manage projects in an iterative fashion. These methods focus on communication and getting products out there, instead of spending months on gathering requirements. This software development...

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How to Create Effective Dashboards in Splunk

While there might be a lot of data in your Splunk server(s), it’s useless if you can’t get valuable information from Splunk. One way to get value from data is by using dashboards. In Splunk,...

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