Practical Issues in Database Management

Practical Issues in Database Management
Author: Fabian Pascal
Publisher: Addison-Wesley Professional
Total Pages: 296
Release: 2000
Genre: Computers
ISBN:

The aim of this work is to provide a correct and up-to-date understanding of the practical aspects of crucial, yet little- understood core database issues. The author identifies fundamental concepts, principles, and techniques and assesses the treatment of those issues in SQL (both the standard and commercial implementations) and gives advice on how to deal with them. Topics covered include complex data types, missing information, data hierarchies, and quota queries. Annotation copyrighted by Book News, Inc., Portland, OR

Database Internals

Database Internals
Author: Alex Petrov
Publisher: O'Reilly Media
Total Pages: 373
Release: 2019-09-13
Genre: Computers
ISBN: 1492040312

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Principles of Database Management

Principles of Database Management
Author: Wilfried Lemahieu
Publisher: Cambridge University Press
Total Pages: 817
Release: 2018-07-12
Genre: Computers
ISBN: 1107186129

Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Principles of Data-base Management

Principles of Data-base Management
Author: James Martin
Publisher: Prentice Hall
Total Pages: 380
Release: 1976
Genre: Computers
ISBN:

Textbook on principles of computer data base management - covers data organization, data base software, (incl. Languages), data protection, confidentiality and privacy, information quality, management information systems, technical aspects, etc. Bibliography pp. 341 to 344, diagrams, flow charts and glossary.

Readings in Database Systems

Readings in Database Systems
Author: Joseph M. Hellerstein
Publisher: MIT Press
Total Pages: 884
Release: 2005
Genre: Computers
ISBN: 9780262693141

The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.

Database Tuning

Database Tuning
Author: Dennis Shasha
Publisher: Elsevier
Total Pages: 441
Release: 2002-06-07
Genre: Computers
ISBN: 0080503780

Tuning your database for optimal performance means more than following a few short steps in a vendor-specific guide. For maximum improvement, you need a broad and deep knowledge of basic tuning principles, the ability to gather data in a systematic way, and the skill to make your system run faster. This is an art as well as a science, and Database Tuning: Principles, Experiments, and Troubleshooting Techniques will help you develop portable skills that will allow you to tune a wide variety of database systems on a multitude of hardware and operating systems. Further, these skills, combined with the scripts provided for validating results, are exactly what you need to evaluate competing database products and to choose the right one. - Forward by Jim Gray, with invited chapters by Joe Celko and Alberto Lerner - Includes industrial contributions by Bill McKenna (RedBrick/Informix), Hany Saleeb (Oracle), Tim Shetler (TimesTen), Judy Smith (Deutsche Bank), and Ron Yorita (IBM) - Covers the entire system environment: hardware, operating system, transactions, indexes, queries, table design, and application analysis - Contains experiments (scripts available on the author's site) to help you verify a system's effectiveness in your own environment - Presents special topics, including data warehousing, Web support, main memory databases, specialized databases, and financial time series - Describes performance-monitoring techniques that will help you recognize and troubleshoot problems

Physical Database Design

Physical Database Design
Author: Sam S. Lightstone
Publisher: Morgan Kaufmann
Total Pages: 449
Release: 2010-07-26
Genre: Computers
ISBN: 0080552315

The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book. The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, Fourth Edition Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft) Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!

Managing the Data-base Environment

Managing the Data-base Environment
Author: James Martin
Publisher: Prentice Hall
Total Pages: 798
Release: 1983
Genre: Computers
ISBN:

Offers Management-Oriented Techniques for the Management of Existing & Future Databases. Also Helps Provide End-User Management with High-Level Languages for Querying and Searching Data