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Author: Cybellium Ltd Publisher: Cybellium Ltd ISBN: Category : Computers Languages : en Pages : 184
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author: Cybellium Ltd Publisher: Cybellium Ltd ISBN: Category : Computers Languages : en Pages : 184
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author: John Carlis Publisher: Addison-Wesley Professional ISBN: 0134176537 Category : Computers Languages : en Pages : 629
Book Description
Data modeling is one of the most critical phases in the database application development process, but also the phase most likely to fail. A master data modeler must come into any organization, understand its data requirements, and skillfully model the data for applications that most effectively serve organizational needs. Mastering Data Modeling is a complete guide to becoming a successful data modeler. Featuring a requirements-driven approach, this book clearly explains fundamental concepts, introduces a user-oriented data modeling notation, and describes a rigorous, step-by-step process for collecting, modeling, and documenting the kinds of data that users need. Assuming no prior knowledge, Mastering Data Modeling sets forth several fundamental problems of data modeling, such as reconciling the software developer's demand for rigor with the users' equally valid need to speak their own (sometimes vague) natural language. In addition, it describes the good habits that help you respond to these fundamental problems. With these good habits in mind, the book describes the Logical Data Structure (LDS) notation and the process of controlled evolution by which you can create low-cost, user-approved data models that resist premature obsolescence. Also included is an encyclopedic analysis of all data shapes that you will encounter. Most notably, the book describes The Flow, a loosely scripted process by which you and the users gradually but continuously improve an LDS until it faithfully represents the information needs. Essential implementation and technology issues are also covered. You will learn about such vital topics as: The fundamental problems of data modeling The good habits that help a data modeler be effective and economical LDS notation, which encourages these good habits How to read an LDS aloud--in declarative English sentences How to write a well-formed (syntactically correct) LDS How to get users to name the parts of an LDS with words from their own business vocabulary How to visualize data for an LDS A catalog of LDS shapes that recur throughout all data models The Flow--the template for your conversations with users How to document an LDS for users, data modelers, and technologists How to map an LDS to a relational schema How LDS differs from other notations and why "Story interludes" appear throughout the book, illustrating real-world successes of the LDS notation and controlled evolution process. Numerous exercises help you master critical skills. In addition, two detailed, annotated sample conversations with users show you the process of controlled evolution in action.
Author: Cybellium Ltd Publisher: Cybellium Ltd ISBN: Category : Computers Languages : en Pages : 143
Book Description
Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Author: Cybellium Ltd Publisher: Cybellium Ltd ISBN: Category : Computers Languages : en Pages : 247
Book Description
In an era where cyber threats loom large, the need for effective cyber security has never been greater. The digital realm is teeming with vulnerabilities, making it crucial for individuals and organizations to possess the knowledge and skills to defend against cyber attacks. "Mastering Cybersecurity" by Kris Hermans provides a comprehensive guide to becoming a guardian of the digital realm. Inside this transformative book, you will: Develop a solid foundation in cyber security, from understanding the threat landscape to conducting risk assessments and implementing robust security measures. Gain practical insights and proven strategies for identifying vulnerabilities, protecting critical assets, and responding to cyber incidents swiftly and effectively. Explore hands-on exercises and realistic scenarios that simulate actual cyber attacks, enabling you to sharpen your problem-solving skills. Stay ahead of the game with discussions on emerging trends and technologies, such as artificial intelligence, machine learning, and the Internet of Things (IoT), and their impact on cyber security. Written by Kris Hermans, a respected authority in the field, "Mastering Cybersecurity" draws upon years of practical experience and in-depth expertise. Kris's passion for educating others shines through as they guide readers through the complexities of cyber threats, empowering them to protect what matters most. Whether you're an aspiring cyber security professional seeking to embark on a fulfilling career or an experienced practitioner looking to enhance your skills, this book is your essential companion. Business owners, IT professionals, and managers will also find valuable insights to safeguard their organizations against the ever-evolving cyber landscape.
Author: Michael J. A. Berry Publisher: ISBN: 9788126518258 Category : Languages : en Pages : 512
Book Description
Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access to the data within this information gold mine to make better business decisions. Readers and reviewers loved Berry and Linoff's first book, Data Mining Techniques, because the authors so clearly illustrate practical techniques with real benefits for improved marketing and sales. Mastering Data Mining takes off from there-assuming readers know the basic techniques covered in the first book, the authors focus on how to best apply these techniques to real business cases. They start with simple applications and work up to the most powerful and sophisticated examples over the course of about 20 cases. (Ralph Kimball used this same approach in his highly successful Data Warehouse Toolkit). As with their first book, Mastering Data Mining is sufficiently technical for database analysts, but is accessible to technically savvy business and marketing managers. It should also appeal to a new breed of database marketing managers.
Author: Cybellium Ltd Publisher: Cybellium Ltd ISBN: Category : Computers Languages : en Pages : 128
Book Description
In an increasingly interconnected world, the protection of digital assets and sensitive information is of paramount importance. "Mastering Information Assurance" provides you with a comprehensive guide to becoming a master of securing digital assets and ensuring the confidentiality, integrity, and availability of critical information. Inside this transformative book, you will: Develop a solid foundation in information assurance, from understanding risk management and vulnerability assessment to implementing robust access controls and encryption protocols. Gain practical insights into implementing security controls, conducting audits, and developing comprehensive security policies and procedures. Explore real-world case studies and simulations that mirror actual security incidents, allowing you to apply best practices and develop proactive strategies. Stay ahead of emerging trends and technologies, such as cloud security, mobile device management, artificial intelligence, and blockchain, and understand their implications for information assurance.
Author: Peter C. Verhoef Publisher: Routledge ISBN: 1000465462 Category : Business & Economics Languages : en Pages : 337
Book Description
The key competing texts are practitioner-focused ‘how to’ guides, whilst our book combines rigorous theory with practical insight and examples, with authors from both the academic and business world, making it more adoptable as a student text; Unlike other books on the subject, this has a customer focus and an exploration of how big data can add value to customers as well as organisations; Enables readers to move from "big data" to "big solutions" by demonstrating how to integrate data analytics into specific goals and processes for implementation; Highly successful and well regarded both for students and practitioners
Author: Allen Dreibelbis Publisher: Pearson Education ISBN: 0132704277 Category : Business & Economics Languages : en Pages : 833
Book Description
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
Author: Cybellium Ltd
Author: Cybellium Ltd
Author: Cybellium Ltd
Author: John Carlis
Author: Cybellium Ltd
Author: Cybellium Ltd
Author: Michael J. A. Berry
Author: Cybellium Ltd
Author: Cybellium Ltd
Author: Peter C. Verhoef
Author: Allen Dreibelbis