Developing Business Systems With Corba With Cd Rom
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Developing Business Systems with CORBA with CD-ROM
Author: Waqar Sadiq
language: en
Publisher: Cambridge University Press
Release Date: 1998-04-13
Developing Business Systems with CORBA guides developers, programmers, and software managers through the development of object-oriented, distributed business systems using CORBA (Common Object Request Broker Architecture). CORBA allows vendors to provide compatible components for the implementation of distributed systems in heterogeneous environments involving multiple operating systems and programming languages. The authors use their experience as developers, trainers and mentors to provide a solid understanding of CORBA technology by examining a realistic example system. They introduce concepts and terminology and lead up to a strategic architecture for distributed objects computing. They present CORBA in detail while introducing the reader to project management issues and the requirements for a business objects facility to integrate CORBA components and provide an abstraction for application development. Later chapters explore design issues, programming, and incorporating product features. The accompanying CD-ROM contains a demonstration application and a copy of the Enterprise Business Objects Facility (EBOF) developed at EDS.
Enterprise Architecture A to Z
Enterprise Architecture A to Z examines cost-saving trends in architecture planning, administration, and management. The text begins by evaluating the role of Enterprise Architecture planning and Service-Oriented Architecture (SOA) modeling. It provides an extensive review of the most widely-deployed architecture framework models, including The Open Group Architecture and Zachman Architectural Frameworks, as well as formal architecture standards. The first part of the text focuses on the upper layers of the architecture framework, while the second part focuses on the technology architecture. Additional coverage discusses Ethernet, WAN, Internet communication technologies, broadband, and chargeback models.
Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance
In an era defined by rapid technological advancement and a pressing need for effective governance, the intersection of machine learning and cybersecurity has emerged as a pivotal area of exploration and innovation. E-governance serves as a vital framework for enhancing the delivery of public services, increasing governmental transparency, and fostering citizen engagement. However, as governments increasingly rely on digital infrastructures, they expose themselves to a myriad of cyber threats that can undermine public trust and security. The contemporary landscape of e-governance must not only adapt to the wave of new digital tools but also ensure the security and integrity of the data that underpins them. Leveraging Futuristic Machine Learning and Next-Generational Security for e-Governance brings together a comprehensive collection of insights and research from leading experts in the fields of artificial intelligence, cybersecurity, and public administration. The contributions to this volume encompass theoretical frameworks, case studies, and practical applications that showcase the transformative potential of integrating machine learning with next-generation security solutions. With this resource, researchers, practitioners, and academics can work toward a new age where e-governance thrives at the nexus of machine learning and cybersecurity.