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Cost-Effective Data Pipelines: Balancing Trade-Offs When Developing Pipelines in the Cloud, Sev Leonard
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Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud 2nd Edition, Lee
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Quarkus Cookbook: Kubernetes-Optimized Java Solutions, Alex Bueno, Jason Porter
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97 Things Every Scrum Practitioner Should Know: Collective Wisdom from the Experts, Gunther Verheyen
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The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight, Sandeep Uttamchandani
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Machine Learning Interviews: Kickstart Your Machine Learning and Data Career, Susan Shu Chang
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Go Cookbook: Expert Solutions for Commonly Needed Go Tasks, Sau Sheong Chang
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97 Things Every Cloud Engineer Should Know: Collective Wisdom from the Experts, Emily Freeman, Nathen Harvey
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Hands-On Healthcare Data: Taming the Complexity of Real-World Data, Andrew Nguyen
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Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems, Hala Nelson
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97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts, Tobias Macey
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Mastering Python for Bioinformatics: How to Write Flexible, Documented, Tested Python Code for Research
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Building Recommendation Systems in Python and JAX: Hands-On Production Systems at Scale, Bryan Bischof Ph.D,
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Asterisk: The Definitive Guide: Open Source Telephony for the Enterprise 5th Edition, Jim Van Meggelen,
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Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python,
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97 Things Every Information Security Professional Should Know: Collective Wisdom from the Experts, Christina
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AI for People and Business: A Framework for Better Human Experiences and Business Success, Alex Castrounis
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Product Research Rules: Nine Foundational Rules for Product Teams to Run Accurate Research that Delivers
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Learning Dapr: Building Distributed Cloud Native Applications, Haishi Bai, Yaron Schneider
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