16851Data modeling
This book is about data modeling and ER diagrams. Chapter 1 discusses the role of data modeling in integrating organizational databases. Chapter 2 is that it can be used to develop object-oriented data models and semantic - oriented data models for object-oriented databases and semantic databases. Chapter 3 describes the optional-max approach for translating ER diagrams into relational tables. Chapter 4: A catalog of entity relationship diagrams. Chapter 5: Strategic datebase planning using a generic data model. Chapter 6: Object-Oriented .
16852Data modeling : a beginner's guide
Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor.
16853Data modeling for MongoDB : building well-designed and supportable MongoDB databases
This book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling! Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits.
16854Data modeling with NoSQL database : 3rd ed.
Data modeling has an important role to play in NoSQL environments. The data modeling process involves the creation of a diagram that represents the meaning of the data and the relationship between the data elements. Thus, understanding is a fundamental aspect of data modeling and a pattern for this kind of representation has few contributions for NoSQL databases. This edition (3rd) explains a NoSQL data modeling standard, introducing modeling techniques that can be used on document-oriented databases.
16855Data networks : 2nd ed.
Introduction and layered network architecture, Point-to-point protocols and links,Delay models in data networks, Multiaccess communication, Routing in data networks, Flow control.
16856Data science
Presenting to What is data science?. What is data and what is a dataset?. The data science ecosystem. Machine learning 101. Standard data science tasks. Privacy and ethics. Future trends and principles of success.
16857Data structures & other objects using Java : 3rd ed.
This book takes a gentle approach to the data structures course in Java. It offers an early, self-contained review of object-oriented programming and Java to give students a firm grasp of key concepts, and allows those experienced in other languages to adjust easily. The book also offers a flexibility which allows professors such options as emphasizing object-oriented programming, covering recursion and sorting early or accelerating the pace of the course. This title meets the needs of professors searching for a book to balance the introduction of object-oriented programming and data structures with Java.
16858Data structures & problem solving using Java : 3rd ed.
Part one: Tour of Java; Part two: Algorithms and building blocks; Part three: Applications; Part four: Implementations; Part five: Advanced data structures.
16859Data structures : abstraction and design using Java : 2nd ed.
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective programs using the JCL instead of producing mathematical proofs. The coverage is updated and streamlined to provide a more accessible approach to programming. They’ll be able to develop a thorough understanding of basic data structures and algorithms through an objects-first approach. Data structures are discussed in the context of software engineering principles. Updated case studies also show programmers how to apply essential design skills and concepts.
16860Data structures : abstraction and design using Java : 3rd ed.
3rd edition, combines a strong emphasis on problem solving and software design with the study of data structures. The authors discuss applications of each data structure to motivate its study. After providing the specification (interface) and the implementation (a Java class), case studies that use the data structure to solve a significant problem are introduced.