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When to Use Different Types of NoSQL Databases Web-scale data requirements are greater than at a single organization, and data is not always in a structured format. NoSQL databases are a good choice for a larger scale because they're flexible in format, structure, and schema. Let’s explore different kinds of NoSQL databases and when it’s appropriate to use each. |
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The Importance of Data Encryption in Cybersecurity Encryption protects private data with unique codes that scramble the data and make it impossible for intruders to read. Despite a data breach, encryption ensures that an institution’s private data is safe, even when attackers get past the firewall. Here are four reasons to use data encryption cybersecurity measures. |
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Designing Data Models for Self-Documented Tests When testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report. |
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Making the Product and Development Partnership Thrive The product manager and the development lead partnering well together is a cornerstone of great product teams. The behavior they exhibit sets the standard for how the team cooperates, connects, and thrives. One great way to do this is getting closer to your customer. Here’s how this advice works with both protagonists. |
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Using Design Thinking to Create Better Test Cases Design thinking is a user-centric framework to solve a business challenge by delivering the best user experience. Using design thinking, you can better frame the business drivers, select the right persona to focus on, design your user journey, identify test scenarios, pinpoint user pains, and write better test cases. |
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Building Culturally Inclusive AI Models For us to build the most effective technology, we need to learn from our past and build our future with more comprehensive data sets with cultural intelligence. This means AI that recognizes your story, chatbots that speak to you more authentically, and smart assistants that have inclusive data about your ancestry. |
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DevOps Transformations for QA Teams: A Slack Takeover with Stacy Kirk Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. QA architect an agile coach Stacy Kirk, founder of QualityWorks Consulting Group LLC and nodeqa.io, hosted this Slack takeover and discussed improving teams by implementing DevOps practices. |
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Debunking 4 Myths of DevSecOps Adoption DevSecOps means more secure applications through greater collaboration. However, many organizations hold preconceived notions and misconceptions about what DevSecOps is and why their organizations will face challenges in adopting it. Here are four common myths about DevSecOps transformation, along with the truth. |