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Web Scalability for Startup Engineers Iron-Clad Java: Building Secure Web Applications
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This is an invaluable roadmap for meeting the rapid demand to deliver scalable applications in a startup environment. With a focus on core concepts and best practices rather than on individual languages, platforms, or technologies, Web Scalability for Startup Engineers describes how infrastructure and software architecture work together to support a scalable environment.
Youíll learn, step by step, how scalable systems work and how to solve common challenges.
Develop, deploy, and maintain secure Java applications using the expert techniques and open source libraries described in this Oracle Press guide.
Automating Microsoft Azure Infrastructure Services: From the Data Center to the Cloud with PowerShell Entity Information Life Cycle for Big Data, 1st Edition Master Data Management and Information Integration
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Get valuable tips and techniques for automating your cloud deployments with Azure PowerShell cmdlets, and learn how to provision Azure services on the fly. In this hands-on guide, Microsoft cloud technology expert Michael Washam shows you how to automate various management tasks and deploy solutions that are both complex and at scale. Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big dataís impact on MDM and the critical role of entity information management system (EIMS) in successful MDM.
R in Action: Data Analysis and Graphics with R Heterogeneous Computing with OpenCL 2.0, 1st Edition
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R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods. Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs).