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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 daunting tasks.
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"
"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 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"
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 standards committee
*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 challenges"
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.
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 programming.
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?
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.
The key to client/server computing.
The authors provide detailed explanations of why various
problems occur as
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 field.
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.
XML has become the lingua franca for representing business data,
for exchanging information between business partners and
applications, and for adding structure
Database systems and database design technology have undergone
significant evolution in recent years. The relational data model
and relational database systems dominate business applications; in
turn, they are extended by other technologies like data
warehousing, OLAP, and data mining. How do you model and design
your database application in consideration of new technology or new
Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system
Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data. "
In "Distributed Algorithms," Nancy Lynch provides a blueprint
for designing, implementing, and analyzing distributed algorithms.
She directs her book at a wide audience, including students,
programmers, system designers, and researchers.
"Distributed Algorithms" contains the most significant
algorithms and impossibility results in the area, all in a simple
automata-theoretic setting. The algorithms are proved correct, and
their complexity is analyzed according to precisely defined
complexity measures. The problems covered include resource
allocation, communication, consensus among distributed processes,
data consistency, deadlock detection, leader election, global
snapshots, and many others.
The material is organized according to the system model first by
the timing model and then by the interprocess communication
mechanism. The material on system models is isolated in separate
chapters for easy reference.
The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures."
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 templates
*Develops ideas for creating consistent approaches to high quality data models
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
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.
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.
This isn't a book about the Object Data Standard; it's the
When it comes to storing objects in databases, ODMG 3.0 is
The definitive book on Oracle's Rdb database.
DB2 Universal Database (UDB) supports many different types of
applications, on many different kinds of data, in many different
software and hardware environments.
This book provides a complete guide to DB2 UDB Version 5 in all
its aspects, including the interfaces that support end users,
application developers, and database administrators. It is
complementary to the IBM product documentation, providing a clear
and informal explanation of how the features of DB2 were intended
to be used. It is an extensive revision of the author's earlier
book, "Using the New DB2: IBM's Object-Relational Database
The potential business advantages of data mining are well
documented in publications for executives and managers. However,
developers implementing major data-mining systems need concrete
information about the underlying technical principles and their
practical manifestations in order to either integrate commercially
available tools or write data-mining programs from scratch. This
book is the first technical guide to provide a complete,
generalized roadmap for developing data-mining applications,
together with advice on performing these large-scale, open-ended
analyses for real-world data warehouses.
The aim of query processing is to find information in one or
more databases and deliver it to the user quickly and efficiently.
Traditional techniques work well for databases with standard,
single-site relational structures, but databases containing more
complex and diverse types of data demand new query processing and
Most real-world data is not well structured. Today's databases
typically contain much non-structured data such as text, images,
video, and audio, often distributed across computer networks. In
this complex milieu
Principles of Database Query Processing for Advanced
Applications teaches the basic concepts and techniques of query
processing and optimization for a variety of data forms and
database systems, whether structured or unstructured.
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