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Learn the fundamental principles of data science, and walk through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. ... more ››
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In this training course, expert author Petter Graff teaches you about the most commonly used design patterns and how to select the correct pattern. This course is designed for users that already have ... more ››
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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. Learn h... more ››
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You hear it a lot: DevOps is not just about tools, but also about changing company culture. But just how does an organization firmly rooted in traditional software development go about making that cha... more ››
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As remarkable as Docker containers are, they still need to be heavily scheduled and orchestrated to run efficiently, and seamlessly replaced and re-balanced when they fail. It's a big job, well beyond... more ››
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Java SE 8 is perhaps the largest change to Java in its history, led by its flagship feature—lambda expressions. If you're an experienced developer looking to adopt Java 8 at work, this short guide wil... more ››
Learn the technology options, engineering best practices, and leadership skills needed to build a solid foundation in software architecture.
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Based on talks given at recent Strata + Hadoop World events, this detailed report explains how Capital One, MasterCard Advisors, and FINRA tackled major data projects with help from technology leaders... more ››
Using several case studies, Kleppmann explains how these projects can help you reorient your database architecture around streams and materialized views. The benefits of this approach include better d... more ››
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Machine learning is no longer just a tool for data scientists. By taking advantage of recent advances in this technology, UI and UX designers can find ways to better engage with and understand their u... more ››
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