databases
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The Importance of Data Encryption in CybersecurityEncryption 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 TestsWhen 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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Building Culturally Inclusive AI ModelsFor 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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Selecting a Database for Your Data NeedsData requirements vary, and with so many different types of databases, selecting which to use can be a tricky choice. It all depends on what your database will be used for, the data structure, and the scale of data. Let’s look at six popular database types so you can decide which would be best for your situation. | 
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4 Key Factors Driving Digital Transformation There are so many strong reasons why digital transformation has become big, but many organizations are missing a major opportunity by simply running digital projects instead of fully transforming the organization itself—similar to doing some agile things without actually committing to being agile. |
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Data Means Nothing if You Don’t Know How to Use, Analyze, and Interpret It Simply having data stowed away and ready to use when needed is great and all, but if you don’t have a smart strategy for how to not only analyze and interpret it, but also put it to proper use, then you may end up creating a connected ecosystem without a real purpose. |
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Ensure That Your Current Cloud Solution Will Stand the Test of TimeIt’s still early in the lifecycle of cloud adoption. This means certain cloud vendors and technologies will fall by the wayside as adoption takes on critical mass. How, then, do you future-proof your cloud solution to make sure you don’t make a decision that you’ll regret later? Here are three ideas to consider. | 
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Data-Driven Testing Skills in an Agile and DevOps WorldFor agile and DevOps, an understanding of the role of data analysis in the test strategy is helping teams accelerate development, testing, and deployments. As we continue to enhance our testing effectiveness, data analytics skills are an important dimension in managing risks in a “continuous everything” world. | 
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