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See more. Ted Hills. How do we design for data when traditional design techniques cannot extend to new database technologies?
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In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications.
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Are existing data modeling techniques ready for all of this? Dmitri Khanine.
ISBN 13: 9780596100124
This book employs the tactic of "you and me talking," which makes learning effortless and fun It's full of specific examples, shortcuts, and ready-to-use strategies. And you can jump chapters and read them in any order that better suits your passion or your assignment at hand. If you want to get started with Oracle UCM, this is the perfect book for you. This book is also beneficial for Oracle Stellent UCM users, administrators, and developers who are ready to jump up to the next level of expertise.
Information Modeling and Relational Databases: Edition 2. Terry Halpin. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design.
This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R Entity-Relationship modelingIncludes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformationNew and improved case studies and exercises are provided for many topics.
Book Database In Depth: Relational Theory For Practitioners
The largest database tuning performance gains can often be obtained from tuning application code, and applications that use SQL to retrieve data are the best candidates for tuning. This well-organized, easy-to-understand reference brings together more than SQL-related skills and techniques that any developer can use to build and optimize DB2 applications for consistently superior performance.
Tony shows you exactly how to clear bottlenecks, resolve problems, and improve both speed and reliability. Drawing on his extensive consulting experience and highly praised training with Themis Inc. MC Brown. Similar ebooks. SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put that theory into practice.
In this book, Chris Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it to your use of SQL. Could you write an SQL query to find employees who have worked at least once in every programming department in the company? Why is proper column naming so important?
Nulls in the database cause wrong answers. What you can do about it? How can image relations help you formulate complex SQL queries? And how?
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Pete Warden. If you're a developer looking to supplement your own data tools and services, this concise ebook covers the most useful sources of public data available today. You'll find useful information on APIs that offer broad coverage, tie their data to the outside world, and are either accessible online or feature downloadable bulk data. You'll also find code and helpful links.
Database in Depth: Relational Theory for Practitioners - C. Date, Date Date - Google книги
Hannu Krosing. This practical guide leads you through numerous aspects of working with PostgreSQL. Step by step examples allow you to easily set up and extend PostgreSQL. To get the best understanding of this book, you should have general experience in writing SQL, a basic idea of query tuning, and some coding experience in a language of your choice. For example, here are some common database terms: attribute, BCNF, consistency, denormalization, predicate, repeating group, join dependency. Do you know what they all mean?
Are you sure? Featuring an extensive set of exercises, it will help you:. Database in Depth : Relational Theory for Practitioners. Featuring an extensive set of exercises, it will help you: understand why and how the relational model is still directly relevant to modern database technology and will remain so for the foreseeable future see why and how the SQL standard is seriously deficient use the best current theoretical knowledge in the design of their databases and database applications make informed decisions in their daily database professional activities Database in Depth will appeal not only to database developers and designers, but also to a diverse field of professionals and academics, including database administrators DBAs , information modelers, database consultants, and more.
Virtually everyone who deals with relational databases should have at least a passing understanding of the fundamentals of working with relational models. Author C. Date has been involved with the relational model from its earliest days. An exceptionally clear-thinking writer, Date lays out principle and theory in a manner that is easily understood. Few others can speak as authoritatively the topic of relational databases as Date can.
Relations Versus Types. Tuples and Relations. Relation Variables. Relational Algebra.
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