Amazon Price: $49.99 $36.33 You save: $13.66 (27%). (as of May 26, 2018 06:07 –
C# in Depth, Third Edition updates the best-selling second edition to cover the new features of C# 5, including the challenges of writing maintainable asynchronous code. It preserves the uniquely insightful look into the tricky areas and dusty corners of C# that only expert Jon Skeet can provide.
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Amazon Price: $49.99 $22.00 You save: $27.99 (56%). (as of May 26, 2018 13:31 –
Amazon Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. The book will teach you about the most important services on AWS. You will also learn about best practices regarding automation, security, high availability, and scalability.
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Amazon Price: $44.99 $33.65 You save: $11.34 (25%). (as of May 26, 2018 19:54 –
Packed with hands-on labs to reinforce what you're learning, Learn PowerShell Toolmaking in a Month of Lunches is the best way to learn PowerShell scripting and toolmaking. Just set aside one hour a day—lunchtime would be perfect—for each self-contained lesson. You'll move quickly through core scripting concepts and start working on four real-world, practical tools. Each chapter adds more functionality, including custom formatting, error handling, parameterized input, input validation, help files and documentation, and more.
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Amazon Price: $34.99 $32.59 You save: $2.40 (7%). (as of May 26, 2018 00:18 –
A hands-on guide that will teach how to design and implement scalable, flexible, and open IoT solutions using web technologies. This book focuses on providing the right balance of theory, code samples, and practical examples to enable you to successfully connect all sorts of devices to the web and to expose their services and data over REST APIs.
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Amazon Price: $49.99 $33.94 You save: $16.05 (32%). (as of May 26, 2018 03:06 –
Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.
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