Showing results for "khader mohiuddin"
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2013
EN
Transform Big Data into Insight "In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache Hadoop Cowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comprehe...
2013
EN
Transform Big Data into Insight"In this book, some of Oracle's best engineers and architects explain how you can make use of big data. They'll tell you how you can integrate your existing Oracle solutions with big data systems, using each where appropriate and moving data between them as needed." -- Doug Cutting, co-creator of Apache HadoopCowritten by members of Oracle's big data team, Oracle Big Data Handbook provides complete coverage of Oracle's comp...
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Continuous Delivery
Reliable Software Releases through Build, Test, and Deployment Automation
2010
EN
Winner of the 2011 Jolt Excellence Award!Getting software released to users is often a painful, risky, and time-consuming process.This groundbreaking new book sets out the principles and technical practices that enablerapid, incremental delivery of high quality, valuable new functionality to users. Throughautomation of the build, deployment, and testing process, and improved collaboration betweendevelopers, testers, and operations, d...
Enterprise Integration Patterns
Designing, Building, and Deploying Messaging Solutions
2012
EN
Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise.The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in pra...
2013
EN
“For software developers of all experience levels looking to improve their results, and design and implement domain-driven enterprise applications consistently with the best current state of professional practice, Implementing Domain-Driven Design will impart a treasure trove of knowledge hard won within the DDD and enterprise application architecture communities over the last couple decades.”–Randy Stafford, Architect At-Large, Oracle Coherence Product De...
Cloud Architecture Patterns
Using Microsoft Azure
2012
EN
If your team is investigating ways to design applications for the cloud, this concise book introduces 11 architecture patterns that can help you take advantage of cloud-platform services. You’ll learn how each of these platform-agnostic patterns work, when they might be useful in the cloud, and what impact they’ll have on your application architecture. You’ll also see an example of each pattern applied to an application built with Windows Azure.The patterns are organized into four ...
IT Architectures and Middleware: Strategies for Building Large, Integrated Systems
Strategies for Building Large, Integrated Systems
2004
EN
The challenges of designing, building, and maintaining large-scale, distributed enterprise systems are truly daunting. Written by and for IT professionals, IT Architectures and Middleware, Second Edition, will help you rise above the conflicts of new business objectives, new technologies, and vendor wars, allowing you to think clearly and productively about the particular challenges you face.This book focuses on the essential principles and priorities of s...
Continuous Integration
Improving Software Quality and Reducing Risk
2007
EN
For any software developer who has spent days in “integration hell,” cobbling together myriad software components, Continuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques.The authors first examine the concept ...
Cloud Application Architectures
Building Applications and Infrastructure in the Cloud
2009
EN
If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services.While analysts hotly debate the advantages and risks of cloud computing, IT staff and programmers are left to determine whether and how to put their applications into these virtualized services. Cloud Application Architectures provides ans...
Web Operations
Keeping the Data On Time
2010
EN
A web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime. It's the expertise you need when your start-up gets an unexpected spike in web traffic, or when a new feature causes your mature application to fail. In this collection of essays and interviews, web veterans such as Theo Schlossnagle, Baron Schwartz, and Alistair Croll offer insights into this evolving field. You'll learn stories from th...
Experiences of Test Automation
Case Studies of Software Test Automation
2012
EN
Software test automation has moved beyond a luxury to become a necessity. Applications and systems have grown ever larger and more complex, and manual testing simply cannot keep up. As technology changes, and more organizations move into agile development, testing must adapt—and quickly. Test automation is essential, but poor automation is wasteful—how do you know where your efforts will take you?Authors Dorothy Graham and Mark Fewster wrote the field’s seminal text, Software T...
2013
EN
Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.











