Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of...

Handbook of Cloud...

• Make better business decisions and acquire greater control of your IoT infrastructure
• Learn techniques to solve unique problems associated with IoT and examine and analyze data...

Pro SQL Database for Windows Azure, 2nd Edition shows how to create enterprise-level database deployments without the usual investment in datacenter and other infrastructure. Take advantage instead of Microsoft’s worldwide backbone for cloud computing that delivers all the power of SQL Server in the form of the cloud-based...

This book will prove to be a practical resource for anyone who is considering using, building, or securing a cloud implementation. Security professionals may refer to this book as a source of detailed information for evaluating and verifying cloud security policy and requirements. Cloud infrastructure engineers, cloud services...

When IIS6 and Windows Server 2003 are no longer supported, you?ll need to migrate websites currently hosted on these technologies to newer technologies. This book comes to the rescue. It's packed with all the steps you need - all intertwined with...

• Build scalable and highly available real-time applications
• Make cost-effective architectural decisions by implementing your product's functional and non-functional requirements
• ...

One major branch of enhancing the performance of evolutionary algorithms is the exploitation of linkage learning. This monograph aims to capture the recent progress of linkage learning, by compiling a series of focused technical chapters to keep abreast of the developments and trends in the area of linkage. In evolutionary algorithms, linkage...

• Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
• Build a multi-node Hadoop cluster on Windows servers
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