17231Data structures using C++
This highly-anticipated CS2 text from Dr. D.S. Malik is ideal for a one-semester course focused on data structures. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). This student-friendly text features abundant Programming Examples and extensive use of visual diagrams to reinforce difficult topics. Students will find Dr. Malik's use of complete programming code and clear display of syntax, explanation, and example easy to read and conducive to learning.
17232Data structures, algorithms, and applications in C++
This text provides students with an introduction to data structures and algorithms. It emphasizes algorithm analysis and the development of efficient code, and includes important background material. Divided into three parts, the text features Data Structure Application sections at the end of each chapter in part two, Algorithm Application sections in each design method chapter in part three, and a gradual development of C++ features not found in C to help students with either a background in C or C++ to comprehend topics in the book. --This text refers to an out of print or unavailable edition of this title.
17233Data virtualization for business intelligence architectures : revolutionizing data integration for data warehouses
Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments.
17234Data visualization for dummies
Part I: Getting Started with Data Visualization; Part II: Mastering Basic Data Visualization Concepts;Part III: Building Your First Data Visualization.
17235Database concepts : 2nd ed.
For undergraduate database courses. Written by one of the world's leading database authorities, Database Concepts, introduces the essential concepts students need to create and use small databases.
17236Database concepts : 5th ed.
Written by two of the world's leading database authorities, Database Concepts introduces the essential concepts readers need to create and use small databases.
17237Database concepts : 7th ed.
Database Concepts by David Kroenke and David Auer gives undergraduate database management students and business professionals alike a firm understanding of the concepts behind the software, using Access 2013 to illustrate the concepts and techniques. Three projects run throughout the text, to show students how to apply the concepts to real-life business situations.
17238Database design and development: A visual approach
For students in the introductory course in database who want to learn how to design rather than just manipulate relational databases.The book that balances database theory, business problem solving, and hands-on-practice. This book prepares student for the workplace without sacrificing rigorous academic theory.
17239Database management : developing application systems using Oracle
Part 1: Introduction to database management systems; part 2: The relational approach; part 3: Data manipulation via ralational algebra; part 4: Data manipulation via ralational calculus; part 5: Introduction to oracla; part 6: Simple retrieval; part 7: Creating tables, indexes, storage spaces, and partitions; part 8: Data maintenance; part 9: Join queries; part 10: More sophisticated retrieval of data; part 11: Expressions and functions; part 12: Creating and using views; part 13: Accessing data from other user-names and concurrent processing; part 14: The internal report writer; part 15: Designing relational databases.
17240Database management systems
1. Introduction to database systems; 2. The relational model; 3. Storing data: Disks and files; 4. File organizations and indexes; 5. Tree-structured indexing; 6. Hash-Based indexing; 7. External sorting; 8. Relational algebra and calculus; 9. SQL: The query language; ...