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Exploring Big Data Options in the Apache Hadoop Ecosystem With the emergence of the World Wide Web came the need to manage large, web-scale quantities of data, or “big data.” The most notable tool to manage big data has been Apache Hadoop. Let’s explore some of the open source Apache projects in the Hadoop ecosystem, including what they're used for and how they interact. |
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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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Selecting a Cloud Service Cloud services are relatively new, and for those used to downloading and installing software, it may be daunting at first when trying to figure out which cloud service to use. Let’s analyze the different options—infrastructure as a service, platform as a service, and software as a service—and when you should use each. |
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Testing, Today and Tomorrow: Slack Takeovers with Arthur Hicken and Aprajita Mathur Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Arthur Hicken and Aprajita Mathur each recently hosted Slack takeovers, and they talked about keeping IoT devices secure, onboarding new test team members, and what skills we should be learning. |
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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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Creating a Community of Testers Many teams are divided by product or feature, with only one dedicated tester per team. How do you learn and grow in your career when you’re disconnected from your peers? One solution is to create your own community of testers that spans the organization. Here are some ideas to start and facilitate a Quality Guild. |
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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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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. |
