The definitive guide to migrating your applications to the cloud!The next computing revolution is underway! Cloud Computing, Big Data and Linked Open Data are creating the platform for the next generation of computing. These technologies are drastically increasing the capabilities of every organization that implements them. This guide will give you the in-depth understanding, insight and practical details to enable you to craft an implementation strategy for migrating to these new technologies. This book deftly explains detailed technical concepts in a manner that every manager can understand, and more importantly leverage. At the same time, this book delivers the technical details and in-depth coverage to educate your entire IT organization, including your hardcore developers on the fundamentals of these cutting edge technologies. Get your organization ready for the future with this detailed roadmap! Written by a proven expert in the field, this book delivers for managers, architects and developers. It is a must-read for every Information Technology professional to master this new landscape and to lead their organization into the next computing revolution!About the Author: Michael Daconta is the Vice President of Advanced Technology for InCadence Strategic Solutions, Inc. Mr. Daconta is a well-known author, lecturer and columnist having authored or co-authored 11 other technical books, numerous magazine articles and online columns (JavaWorld, Government Computer News). He is the former Metadata Program Manager for the Department of Homeland Security (DHS). In that capacity he was selected into the “Federal 100” by Federal Computer Week magazine, led the Federal Data Reference Model working group for the Office of Management and Budget (OMB) and launched the National Information Exchange Model (NIEM) with the Department of Justice (DoJ). Mr. Daconta has more than 25 years of development experience having developed large scale IT Systems for Telemedicine, Stock Trading, Information Analysis and Integration and Military Simulations. He is also the inventor of two patented technologies. His career has afforded him a unique blend of operational and technology experience. Mr. Daconta is currently developing the Axon Cloud Channel™ Technical Cloud Broker with a team of developers at InCadence Strategic Solutions, Inc. He earned his Masters degree in Computer Science from Nova Southeastern University and his Bachelor’s degree in Computer Science from New York University (NYU). His books cover XML, XUL, Java, C++ and C. His previous book was “Information As Product: How to Deliver the Right Information, To the Right Person, At the Right Time.”
Publication date: 12/31/2013Kindle book details: Kindle Edition, 218 pages
Designing and implementing web services APIs has become a common part of every software engineer's job. The RESTful approach to web services design is rapidly become the approach of choice. Unfortunately, too few people have truly solid REST API design skills, and discussions of REST can become bogged down in dry theory.The REST API Design Handbook is a simple, practical guide to aid software engineers and software architects create lasting, scalable APIs based on REST architectural principles. The book provides a sound foundation in discussing the constraints that define a REST API. It quickly goes beyond that into the practical aspects of implementing such an API in the real world.Written by cloud computing expert George Reese, The REST API Design Handbook reflects hands on work in consuming many different third party APIs as well the development of REST-based web services APIs. It addresses all of the debates the commonly arise while creating these APIs. Subjects covered include:* REST architectural constraints* Using HTTP methods and response codes in an API* Authenticating RESTful API calls* Versioning* Asynchronous Operations* Pagination and Streaming* Polling and Push Notifications* Rate Limiting
Publication date: 06/04/2012Kindle book details: Kindle Edition, 90 pages
Have you ever wondered what cloud computing is, why it's so popular and what the fuss is about it? This short book will give you the introductory information you need about the subject, in around 1000 words. Inside you'll learn what cloud computing actually is, how it works and what its advantages and disadvantages are.This short introduction to cloud computing is not meant to be a comprehensive guide, but rather a way for readers to become familiar with a topic in just a few moments of reading, so they can speak intelligently about the topic with others and so they can decide whether or not they want to pursue further research into the topic.
Publication date: 05/11/2012Kindle book details: Kindle Edition, 6 pages
The skills required for I.T is changing rapidly with the availability of newer software defined networking solutions. The virtualization of application and network devices is causing an overlap of management domains for network engineers, systems engineers and security engineers. The network devices and applications now reside at network servers as virtual machines (VM). In addition there is a shift toward an internet-based connectivity model that is changing how the network is managed. New virtualized management solutions have been developed for integrating physical and virtual platforms.Each group must develop new skills for virtualization, server-based troubleshooting and cloud management. Virtualization of applications and devices allow for an on-demand connectivity and operational model. It is characterized by a dynamic, elastic, scalable architecture that is hardware independent. The new networking paradigm uses Openstack, vPath and SDN programmable network devices. The virtualization overlay abstracts the underlying network infrastructure from the application layer. The virtualization architecture is enabling seamless access and global connectivity of enterprise and cloud data center applications. There are 100+ questions and answers based on the book Cloud Design Fundamentals.
Publication date: 03/08/2017Kindle book details: Kindle Edition, 14 pages
[update!2017Mar.]DeepLearning for Image Recognition[ready to read]: Deep Learning with cloud computing and open source software
[Update 2017/March/1]The book is completed with all the contents written in english and ready to be downloaded and read!!!!The reader who bought the book before March, please update the contents following the URL below. https://kdp.amazon.com/help?topicId=A1RGGPBKDR1BPZ# IntroductionThis book introduces a procedure to execute **image recognition by Deep Learning** with cloud computing services and open source software.## ReadersThis book is written for college students(B~M) or younger engineers who are planning to start Deep Learning, and is expected to give a primary information about one of the newest and most powerful technology. The goal of this book is to complete an easy example of image recognition and earn some results that would give some preliminary insight about Deep Learning.Deep Learning appeared to the world in just a few years and it includes sorts of unsolved problems including its theoretical backgrounds. This book does not refer to those difficult problems. Through dealing with lower-level problems which requires shallow understanding, readers will obtain an intuitive comprehension and skills or know-hows to asses the feasibility of Deep Learning toward some sorts of problems.## AcknowledgementMany thanks to my friends who gave me lots of hints and encouragements to complete the book.=====TOC=====*Beginning2**Acknowledgement2*Install & Setup2**cost3**preparation@localPC3**procedure3**GPU platform4**DeepLearning frontend5**Confirmation via a web access6*DeepLearning Trial１: mnist dataset7**learning8**inference12***infernce for a single image file12***inference for a list of images14*DeepLearning Trial2: cifar100 dataset16**dataset16**learning16**inference17***infernce for a single image file17***infernce for a validation lmdb17**tuning parameters17*Deep Learning Trial3: images collected from the web19**dataset19***collecting images in a web browser to a list of images19***submit to the web frontend20**learning22**inference23**tuning paramters25*Miscellaneous(for the next edition...)26**virtualenv26**caffe::pythonLayer26**apt-get v.s. make all26*Conclusion27**about the cover photo27**contact to the author27
Published by: Ebook Lovers Japan | Publication date: 01/29/2017Kindle book details: Kindle Edition, 44 pages
Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies.Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database.The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll LearnYou will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to:
- Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure
- Extract data from any enterprise resource planning (ERP) tool
- Process and integrate BI data using open-source extract-transform-load (ETL) tools
- Query, report, and analyze BI data using open-source visualization and dashboard tools
- Use a MOLAP tool to define next year's budget, integrating real data with target scenarios
- Deploy BI solutions and big data experiments inexpensively on cloud platforms
Published by: Apress | Publication date: 06/24/2017Kindle book details: Kindle Edition, 326 pages
This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Published by: Springer | Publication date: 06/24/2017Kindle book details: Kindle Edition, 567 pages
Practical Azure Application Development: A Step-by-Step Approach to Build Feature-Rich Cloud-Ready Solutions
Get started and learn a step-by-step approach to application development using Microsoft Azure. Select the right services to solve the problem at hand in a cost-effective manner and explore the potential different services and how they can help in building enterprise applications. Azure has an ample amount of resources and tutorials, but most of them focus on specific services and explain those services on their own and in a given context. Practical Azure Application Development focuses on building complete solutions on Azure using different services. This book gives you the holistic approach to Azure as a solutions development platform. This book:
- Covers Azure as a solution development platform for building applications
- Provides real-world examples to understand why and when an Azure service is required
- Discusses how Azure helps to achieve continuous improvement and expansion of an application
- Provides application development experience from purchasing Azure to integrating with core Azure services, including an introduction to DevOps with VSTS
- Use Azure services to solve real-world software problems
- Define the usage of Azure services and select the right services to solve the problem at hand
- Make clear and less ambiguous decisions about using different Azure services
- Take a holistic approach to Azure as a solution platform
- Understand the basics of security, data protection, and cost controls in Azure
Published by: Apress | Publication date: 06/24/2017Kindle book details: Kindle Edition, 195 pages
Automated Workflow Scheduling in Self-Adaptive Clouds: Concepts, Algorithms and Methods (Computer Communications and Networks)
This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency.Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.
Published by: Springer | Publication date: 05/25/2017Kindle book details: Kindle Edition, 225 pages
Recent Trends in Information and Communication Technology: Proceedings of the 2nd International Conference of Reliable Information and Communication Technology ... Engineering and Communications Technologies)
This book presents 94 papers from the 2nd International Conference of Reliable Information and Communication Technology 2017 (IRICT 2017), held in Johor, Malaysia, on April 23–24, 2017. Focusing on the latest ICT innovations for data engineering, the book presents several hot research topics, including advances in big data analysis techniques and applications; mobile networks; applications and usability; reliable communication systems; advances in computer vision, artificial intelligence and soft computing; reliable health informatics and cloud computing environments, e-learning acceptance models, recent trends in knowledge management and software engineering; security issues in the cyber world; as well as society and information technology.
Published by: Springer | Publication date: 05/24/2017Kindle book details: Kindle Edition, 930 pages