Books > Academic & Education > Professional & Technical > Data Management
Making the move from an IT technician or team member to
management is one of the most difficult career steps you ll face.
Help from management and targeted training can be hard to come by -
and your success depends on your ability to adapt to your new role
almost overnight. You might have years of experience in the
trenches, but you ll quickly find that managing a team, setting
budgets, and creating a winning strategy for the first time can be
Now in its third edition, "IT Manager s Handbook" provides a
practical reference that you will return to again and again in an
ever-changing corporate environment where the demands on IT
continue to increase. Make your first 100 days really count with
the fundamental principles and core concepts critical to your
success as a new IT Manager. The book also includes discusses how
to develop an overall IT strategy as well as demonstrate the value
of IT to the company.
In this book, you ll learn how to: Manage your enterprise s new
level of connectivity with a NEW chapter covering social media,
handheld devices, and moreImplement and optimize cloud services to
provide a better experience for your mobile and virtual workforce
at a lower cost to your bottom lineIntegrate mobile applications
into your company s strategyManage the money, including topics such
as department budgets and leasing versus buyingWork with your
"customers," whomever those might be for your IT shopHire, train,
and manage your team and their projects so that you come in on time
and budgetSecure your systems to face some of today's most
challenging security challenges"
The increasing volume of data in modern business and science
calls for more complex and sophisticated tools. Although advances
in data mining technology have made extensive data collection much
easier, it s still always evolving and there is a constant need for
new techniques and tools that can help us transform this data into
useful information and knowledge.
Since the previous edition s publication, great advances have
been made in the field of data mining. Not only does the third of
edition of "Data Mining: Concepts and Techniques" continue the
tradition of equipping you with an understanding and application of
the theory and practice of discovering patterns hidden in large
data sets, it also focuses on new, important topics in the field:
data warehouses and data cube technology, mining stream, mining
social networks, and mining spatial, multimedia and other complex
data. Each chapter is a stand-alone guide to a critical topic,
presenting proven algorithms and sound implementations ready to be
used directly or with strategic modification against live data.
This is the resource you need if you want to apply today s most
powerful data mining techniques to meet real business
* Presents dozens of algorithms and implementation examples, all
in pseudo-code and suitable for use in real-world, large-scale data
mining projects. * Addresses advanced topics such as mining
object-relational databases, spatial databases, multimedia
databases, time-series databases, text databases, the World Wide
Web, and applications in several fields. *Provides a comprehensive,
practical look at the concepts and techniques you need to get the
most out of your data"
"Data Modeling Essentials, Third Edition" provides expert tutelage
for data modelers, business analysts and systems designers at all
levels. Beginning with the basics, this book provides a thorough
grounding in theory before guiding the reader through the various
stages of applied data modeling and database design. Later chapters
address advanced subjects, including business rules, data
warehousing, enterprise-wide modeling and data management.
The third edition of this popular book retains its distinctive
hallmarks of readability and usefulness, but has been given
significantly expanded coverage and reorganized for greater reader
comprehension. Authored by two leaders in the field, "Data Modeling
Essentials, Third Edition" is the ideal reference for professionals
and students looking for a real-world perspective.
- Thorough coverage of the fundamentals and relevant theory.
- Recognition and support for the creative side of the
- Expanded coverage of applied data modeling includes new chapters
on logical and physical database design.
- New material describing a powerful technique for model
- Unique coverage of the practical and human aspects of modeling,
such as working with business specialists, managing change, and
- Extensive online component including course notes and other
teaching aids (www.mkp.com).
UML diagrams now available! Visit the companion site for more
Click here to view a book review by Steve Hoberman!
The demand for SQL information and training continues to grow
with the need for a database behind every website capable of
offering web-based information queries. SQL is the de facto
standard for database retrieval, and if you need to access, update,
or utilize data in a modern database management system, youwill
need SQL to do it. TheSecond Editionof "Joe Celko's Trees and
Hierarchies in SQL for Smarties" covers two new sets of extensions
over three entirelynew chapters and expounds upon the changes that
have occurred in SQL standards since the previous edition's
publication. Benefit from mastering the challenging aspects of
these database applications in SQL as taught by Joe Celko, one of
the most-read SQL authors in the world.
*Expert advice from a noted SQL authority and award-winning
columnist who has given 10 years of service to the ANSI SQL
*Teaches scores of advanced techniques that can be used with any
product, in any SQL environment
*Offers graph theory and programming techniques for working
around deficiencies and gives insight into real-world
Information Modeling and Relational Databases, second edition,
provides an introduction to ORM (Object-Role Modeling)and much
more. 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.
Terry Halpin, a pioneer in the development of ORM, blends
conceptual information with practical instruction that will let you
begin using ORM effectively as soon as possible. Supported by
examples, exercises, and useful background information, his
step-by-step approach teaches you to develop a
natural-language-based ORM model, and then, where needed, abstract
ER and UML models from it. This book will quickly make you
proficient in the modeling technique that is proving vital to the
development of accurate and efficient databases that best meet real
*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) modeling.
*Includes 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 transformation.
* New and improved case studies and exercises are provided for many
* The book's associated web site provides answers to exercises,
appendices, advanced SQL queries, and links to downloadable ORM
Principles of Transaction Processing is a comprehensive guide to
developing applications, designing systems, and evaluating
engineering products. The book provides detailed discussions of the
internal workings of transaction processing systems, and it
discusses how these systems work and how best to utilize them. It
covers the architecture of Web Application Servers and
transactional communication paradigms. The book is divided into 11
chapters, which cover the following: Overview of transaction
processing application and system structure Software abstractions
found in transaction processing systems Architecture of multitier
applications and the functions of transactional middleware and
database servers Queued transaction processing and its internals,
with IBM's Websphere MQ and Oracle's Stream AQ as examples Business
process management and its mechanisms Description of the two-phase
locking function, B-tree locking and multigranularity locking used
in SQL database systems and nested transaction locking System
recovery and its failures Two-phase commit protocol Comparison
between the tradeoffs of replicating servers versus replication
resources Transactional middleware products and standards Future
trends, such as cloud computing platforms, composing scalable
systems using distributed computing components, the use of flash
storage to replace disks and data streams from sensor devices as a
source of transaction requests. The text meets the needs of systems
professionals, such as IT application programmers who construct TP
applications, application analysts, and product developers. The
book will also be invaluable to students and novices in application
Are you an SQL programmer that, like many, came to SQL after
learning and writing procedural or object-oriented code? Or have
switched jobs to where a different brand of SQL is being used, or
maybe even been told to learn SQL yourself?
If even one answer is yes, then you need this book. A "Manual of
Style" for the SQL programmer, this book is a collection of
heuristics and rules, tips, and tricks that will help you improve
SQL programming style and proficiency, and for formatting and
writing portable, readable, maintainable SQL code. Based on many
years of experience consulting in SQL shops, and gathering
questions and resolving his students' SQL style issues, Joe Celko
can help you become an even better SQL programmer.
+ Help you write Standard SQL without an accent or a dialect that
is used in another programming language or a specific flavor of
SQL, code that can be maintained and used by other people.
+ Enable you to give your group a coding standard for internal use,
to enable programmers to use a consistent style.
+ Give you the mental tools to approach a new problem with SQL as
your tool, rather than another programming language - one that
someone else might not know!
Data analysis for database design is a subject of great practical
value to systems analysts and designers. This classic text has been
updated to include chapters on distributed database systems, query
optimisation and object-orientation.The SQL content now includes
features of SQL92 and SQL 99.
With new databases coming online all the time and the general
expansion of the information age, it is increasingly important to
ensure that the analysis and model of a database design is accurate
and robust. This is an ideal book for helping you to ensure that
your database is well designed and therefore user friendly.
Increased material on SQL including the latest developments
Practical approach to explaining techniques and concepts
Contains many questions and answer pointers
The key to client/server computing.
Transaction processing techniques are deeply ingrained in the
databases and operating systems and are used to monitor, control
information in modern computer systems. This book will show you how
distributed, heterogeneous computer systems can be made to work
Using transactions as a unifying conceptual framework, the authors
to build high-performance distributed systems and
applications with finite budgets and risk.
The authors provide detailed explanations of why various
problems occur as
well as practical, usable techniques for their solution. Throughout
examples and techniques are drawn from the most successful
research systems. Extensive use of compilable C code fragments
the many transaction processing algorithms presented in the book.
will be valuable to anyone interested in implementing distributed
or client/server architectures.
A multitude of problems is likely to arise when developing data
models. With dozens of attributes and millions of rows, data
modelers are always in danger of inconsistency and inaccuracy. The
development of the data model itself could result in difficulties
presenting accurate data. The need to improve data models begins
with getting it right in the first place.
Using real-world examples, "Developing High Quality Data Models"
walks the reader through identifying a number of data modeling
principles and analysis techniques that enable the development of
data models that both meet business requirements and have a
consistent basis. The reader is presented with a variety of generic
data model patterns that both exemplify the principles and
techniques discussed and build upon one another to give a powerful
and integrated generic data model. This model has wide
applicability across many disciplines in government and industry,
including but not limited to energy exploration, healthcare,
telecommunications, transportation, military defense,
transportation, and more.
* Uses a number of common data model patterns to explain how to
develop data models over a wide scope in a way that is consistent
and of high quality
*Offers generic data model templates that are reusable in many
applications and are fundamental for developing more specific
*Develops ideas for creating consistent approaches to high
quality data models
XML has become the lingua franca for representing business data,
for exchanging information between business partners and
applications, and for adding structure
and sometimes meaning to text-based documents. XML offers some
special challenges and opportunities in the area of search:
querying XML can produce very precise, fine-grained results, if you
know how to express and execute those queries.
For software developers and systems architects: this book teaches
the most useful approaches to querying XML documents and
repositories. This book will also help managers and project leaders
grasp how querying XML fits into the larger context of querying and
XML. Querying XML provides a comprehensive background from
fundamental concepts (What is XML?) to data models (the Infoset,
PSVI, XQuery Data Model), to APIs (querying XML from SQL or Java)
* Presents the concepts clearly, and demonstrates them with
illustrations and examples; offers a thorough mastery of the
subject area in a single book.
* Provides comprehensive coverage of XML query languages, and the
concepts needed to understand them completely (such as the XQuery
* Shows how to query XML documents and data using: XPath (the XML
Path Language); XQuery, soon to be the new W3C Recommendation for
querying XML; XQuery's companion XQueryX; and SQL, featuring the
* Includes an extensive set of XQuery, XPath, SQL, Java, and other
examples, with links to downloadable code and data samples."
How do you approach answering queries when your data is stored
in multiple databases that were designed independently by different
people? This is first comprehensive book on data integration and is
written by three of the most respected experts in the field.
This book provides an extensive introduction to the theory and
concepts underlying today's data integration techniques, with
detailed, instruction for their application using concrete examples
throughout to explain the concepts. Data integration is the problem
of answering queries that span multiple data sources (e.g.,
databases, web pages). Data integration problems surface in
multiple contexts, including enterprise information integration,
query processing on the Web, coordination between government
agencies and collaboration between scientists. In some cases, data
integration is the key bottleneck to making progress in a
The authors provide a working knowledge of data integration
concepts and techniques, giving you the tools you need to develop a
complete and concise package of algorithms and applications.
*Offers a range of data integration solutions enabling you to
focus on what is most relevant to the problem at hand.
*Enables you to build your own algorithms and implement your own
data integration applications
*Companion website with numerous project-based exercises and
solutions and slides. Links to commercially available software
allowing readers to build their own algorithms and implement their
own data integration applications. Facebook page for reader input
during and after publication.
Managing Time in Relational Databases: How to Design, Update and
Query Temporal Data introduces basic concepts that will enable
businesses to develop their own framework for managing temporal
data. It discusses the management of uni-temporal and bi-temporal
data in relational databases, so that they can be seamlessly
accessed together with current data; the encapsulation of temporal
data structures and processes; ways to implement temporal data
management as an enterprise solution; and the internalization of
pipeline datasets. The book is organized into three parts. Part 1
traces the history of temporal data management and presents a
taxonomy of bi-temporal data management methods. Part 2 provides an
introduction to Asserted Versioning, covering the origins of
Asserted Versioning; core concepts of Asserted Versioning; the
schema common to all asserted version tables, as well as the
various diagrams and notations used in the rest of the book; and
how the basic scenario works when the target of that activity is an
asserted version table. Part 3 deals with designing, maintaining,
and querying asserted version databases. It discusses the design of
Asserted Versioning databases; temporal transactions; deferred
assertions and other pipeline datasets; Allen relationships; and
optimizing Asserted Versioning databases.
Joe Celko has looked deep into the code of SQL programmers and
found a consistent and troubling pattern - a frightening lack of
consistency between their individual encoding schemes and those of
the industries in which they operate. This translates into a series
of incompatible databases, each one an island unto itself that is
unable to share information with others in an age of
internationalization and business interdependence. Such
incompatibility severely hinders information flow and the quality
of company data.
Data, Measurements and Standards in SQL reveals the shift these
programmers need to make to overcome this deadlock. By collecting
and detailing the diverse standards of myriad industries, and then
giving a declaration for the units that can be used in an SQL
schema, Celko enables readers to write and implement portable data
that can interface to any number of external application systems
This book doesn't limit itself to one subject, but serves as a
detailed synopsis of measurement scales and data standards for all
industries, thereby giving RDBMS programmers and designers the
knowledge and know-how they need to communicate effectively across
* Collects and details the diverse data standards of myriad
industries under one cover, thereby creating a definitive,
one-stop-shopping opportunity for database programmers.
* Enables readers to write and implement portable data that can
interface to any number external application systems, allowing
readers to cross business boundaries and move up the career ladder.
* Expert advice from one of the most-read SQL authors in the world
who is well known for his ten years of service on the ANSI SQL
standards committee and Readers Choice Award winning column in
Perfectly intelligent programmers often struggle when forced to
work with SQL. Why? Joe Celko believes the problem lies with their
procedural programming mindset, which keeps them from taking full
advantage of the power of declarative languages. The result is
overly complex and inefficient code, not to mention lost
This book will change the way you think about the problems you
solve with SQL programs.. Focusing on three key table-based
techniques, Celko reveals their power through detailed examples and
clear explanations. As you master these techniques, you ll find you
are able to conceptualize problems as rooted in sets and solvable
through declarative programming. Before long, you ll be coding more
quickly, writing more efficient code, and applying the full power
Filled with the insights of one of the world s leading SQL
authorities - noted for his knowledge and his ability to teach what
Focuses on auxiliary tables (for computing functions and other
values by joins), temporal tables (for temporal queries, historical
data, and audit information), and virtual tables (for improved
Presents clear guidance for selecting and correctly applying the
right table technique."
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
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, 4th 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!
In this complete revision and expansion of his first SQL Puzzles
book, Joe Celko challenges you with his trickiest puzzles and then
helps solve them with a variety of solutions and explanations. Joe
demonstrates the thought processes that are involved in attacking a
problem from an SQL perspective to help advanced database
programmers solve the puzzles you frequently face. These techniques
not only help with the puzzle at hand, but help develop the mindset
needed to solve the many difficult SQL puzzles you face every day.
Of course, part of the fun is to see whether or not you can write
better solutions than Joe s.
* A great collection of tricky SQL puzzles with a variety of
solutions and explanations.
* Uses the proven format of puzzles and solutions to provide a
user-friendly, practical look into SQL programming problems - many
of which will help users solve their own problems.
* New edition features:
Many new puzzles added
Dozens of new solutions to puzzles, and using features in
Code is edited to conform to SQL STYLE rules
New chapter on temporal query puzzles
New chapter on common misconceptions about SQL and RDBMS that
leads to problems"
Fuzzy Modeling and Genetic Algorithms for Data Mining and
Exploration is a handbook for analysts, engineers, and managers
involved in developing data mining models in business and
government. As you'll discover, fuzzy systems are extraordinarily
valuable tools for representing and manipulating all kinds of data,
and genetic algorithms and evolutionary programming techniques
drawn from biology provide the most effective means for designing
and tuning these systems.
You don't need a background in fuzzy modeling or genetic algorithms
to benefit, for this book provides it, along with detailed
instruction in methods that you can immediately put to work in your
own projects. The author provides many diverse examples and also an
extended example in which evolutionary strategies are used to
create a complex scheduling system.
* Written to provide analysts, engineers, and managers with the
background and specific instruction needed to develop and implement
more effective data mining systems.
* Helps you to understand the trade-offs implicit in various models
and model architectures.
* Provides extensive coverage of fuzzy SQL querying, fuzzy
clustering, and fuzzy rule induction.
* Lays out a roadmap for exploring data, selecting model system
measures, organizing adaptive feedback loops, selecting a model
configuration, implementing a working model, and validating the
* In an extended example, applies evolutionary programming
techniques to solve a complicated scheduling problem.
* Presents examples in C, C++, Java, and easy-to-understand
* Extensive online component, including sample code and a complete
data mining workbench.
Research in Information Systems helps supervisors and their
students get the most out of the PhD experience. It can be used as
a basis of courses for supervisors and their research students.
This book covers:
the supervisor student relationship
practical, social and academic issues
different models for PhD programs, including US, UK, Latin and
Many vignettes of personal experiences and reflections provide
context for the material. The book is written by experts leading
international academics in the field of information systems. They
all have had wide experience of research supervision over many
years in many countries.
* The only handbook available specifically for Information Systems,
and written for both research supervisors and their students
* Content agreed and approved by an international panel of experts,
ensuring worldwide relevance
* Includes real life anecdotes to educate, entertain, and
Life science data integration and interoperability is one of the
most challenging problems facing bioinformatics today. In the
current age of the life sciences, investigators have to interpret
many types of information from a variety of sources: lab
instruments, public databases, gene expression profiles, raw
sequence traces, single nucleotide polymorphisms, chemical
screening data, proteomic data, putative metabolic pathway models,
and many others. Unfortunately, scientists are not currently able
to easily identify and access this information because of the
variety of semantics, interfaces, and data formats used by the
underlying data sources.
Bioinformatics: Managing Scientific Data tackles this challenge
head-on by discussing the current approaches and variety of systems
available to help bioinformaticians with this increasingly complex
issue. The heart of the book lies in the collaboration efforts of
eight distinct bioinformatics teams that describe their own unique
approaches to data integration and interoperability. Each system
receives its own chapter where the lead contributors provide
precious insight into the specific problems being addressed by the
system, why the particular architecture was chosen, and details on
the system's strengths and weaknesses. In closing, the editors
provide important criteria for evaluating these systems that
bioinformatics professionals will find valuable.
* Provides a clear overview of the state-of-the-art in data
integration and interoperability in genomics, highlighting a
variety of systems and giving insight into the strengths and
weaknesses of their different approaches.
* Discusses shared vocabulary, design issues, complexity of use
cases, and the difficulties of transferring existing data
management approaches to bioinformatics systems, which serves to
connect computer and life scientists.
* Written by the primary contributors of eight reputable
bioinformatics systems in academia and industry including: BioKris,
TAMBIS, K2, GeneExpress, P/FDM, MBM, SDSC, SRS, and DiscoveryLink.
"Advanced SQL:1999 - Understanding Object-Relational and Other
Advanced Features" is the practitioner's handbook to the standard's
advanced features. It is not a re-presentation of the standard, but
rather an authoritative, in-depth guide to its practical
application. Like its companion, "SQL:1999 - Understanding
Relational Language Components," which explained the standard's
basic features, this book will show you how to make your
applications both effective and standard-compliant.
This handy reference has a modular format so you can explore
specific topics with ease. It is equally useful to those upgrading
from earlier versions of SQL and those with no previous experience.
Written by the standard's distinguished editor, "Advanced SQL:1999"
will complete your knowledge and support your skills like no other
* Focuses entirely on the issues that matter to programmers who are
connecting applications to databases.
* Details SQL:1999's object facilities, including structured
user-defined types, typed tables, user-defined routines, and
* Examines facilities new to SQL, including those relating to
on-line analytical processing (OLAP), management of external data
(SQL/MED), and Java support.
* Covers the ongoing development of XML support.
* Includes appendices that cover the SQL:1999 annexes, a SQL:1999
example using UDTs, status codes, and useful information on the
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
* 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
* Contains experiments (scripts available on the author's site) to
help you verify a system's effectiveness in your own
* Presents special topics, including data warehousing, Web support,
main memory databases, specialized databases, and financial time
* Describes performance-monitoring techniques that will help you
recognize and troubleshoot problems
"JDBC: Practical Guide for Java Programmers" is the quickest way to
gain the skills required for connecting your Java application to a
SQL database. Practical, tutorial-based coverage keeps you focused
on the essential tasks and techniques, and incisive explanations
cement your understanding of the API features you'll use again and
again. No other resource presents so concisely or so effectively
the exact material you need to get up and running with JDBC right
* Provides tutorial-based instruction in key JDBC techniques,
complemented by example code.
* Centered around an incrementally developed example of a
three-tiered application for a video rental e-commerce site.
* Designed to help you tackle standard JDBC tasks: connecting your
database to the Internet, displaying query results, using stored
procedures, updating the database, storing metadata, carrying out
transactions, working with binary large objects, implementing
security, and more.
* Via the companion Web site, provides code for the examples, tools
for loading the example database, links to useful JDBC sites, and a
forum in which to interact with other readers.
This isn't a book about the Object Data Standard; it's the
fully authoritative version of the standard itself, presented by
researchers who developed it. This book provides all the
comprising ODMG 3.0, making the latest version of the
the most mature and most flexible yet.
When it comes to storing objects in databases, ODMG 3.0 is
standard with which you need to be familiar-whether you
develop, or implement object database products,
database mapping products, or applications based on these
* Presents authoritative, completely up-to-date information not
available anywhere else.
* Documents all the changes found in version 3.0, including
enhancements to the Java language binding, greater semantic
precision, and various improvements and corrections throughout the
* Pays special attention to the broadening of the standard to
support recent developments in object-to-database mappings (ODMs)
that allow objects to be stored in relational databases.
* Provides a way to write Java, C++, or Smalltalk code that works
with the entire spectrum of database products, while taking full
advantage of your organization's preferred platform.
* Continues to cover everything retained from version 2.0,
including key details relating to C++, Smalltalk, and Object Query
* Establishes a level of stability for this increasingly important
The definitive book on Oracle's Rdb database.
Written by a team of bestselling database experts, including a
principal product architect, this is unquestionably the definitive
book on Oracle's Rdb8, the latest version of the powerful database
for advanced enterprise applications. Rdb: A Comprehensive Guide,
Third Edition teaches administrators, programmers, database
designers and IT managers the critical components and functions of
the new version 8 and explains how to develop powerful Rdb8
programs. The book specifically addresses new Rdb8 management,
tuning and scalability tools and describes the new Rdb/NT Workbench
for Windows NT. No other source gives readers the authoritative and
timely information provided by Rdb: A Comprehensive Guide, Third
Only book on Rdb8
Written by Rdb8 experts from Oracle, including the principal
Explains how to use Rdb8 on both Windows NT and OpenVMS