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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.

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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Log Management With ELK and Why You Should Care

Sometimes, small things can cause big problems. You make a move that you think is going to make things easier, but while that can happen, it can also make things harder. That’s the case with...

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An Introduction to Apache Kafka

In 2016, RedMonk described the \"rise and rise\" of a powerful asynchronous messaging technology called Apache Kafka. Now—more than three years later—Apache Kafka is still on the rise as a very popular distributed messaging system....

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10 Tips That Will Lead to a Successful Data Governance Implementation

Data governance is a big topic, and rolling out an implementation is often an enormous undertaking. If you’re the person responsible for your organization’s data governance implementation, you recognize there are scores of ways to...

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