Genre: eLearning
Microsoft SQL Server is a full-featured relational database management system (RDBMS) that offers a variety of administrative tools to ease the burdens of database development, maintenance and administration. In this article, we
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It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics.
Table of Contents:

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What is covered in this book?
WordPress as a Content Management System
Hosting Options
Installing WordPress Files
Database Configuration
Dashboard Widgets
Customizing the Dashboard
Creating and Managing Content
Categorizing Your Content
Working with Media
Comments and Discussion
Working with Users
Managing, Adding, Upgrading, and Using the Theme Editor
Working with Widgets
Adding and Managing New Plugins
Configuring WordPress
Exploring the Code
Configuring Key Files
wp-config.php file
Advanced wp-config Options
What’s in the Core?
WordPress Codex and Resources
Understanding and customizing the Loop
Building A Custom Query
Complex Database Operations
Dealing With Errors
Direct Database Manipulation
Building Your Own Taxonomies
Plugin Packaging
Create a Dashboard Widget
Creating a Plugin Example
Publish to the Plugin Directory
Installing a Theme
Creating Your Own Theme
How and When to Use Custom Page Templates
How to Use Custom Page Templates
Pushing Content from WordPress to Other Sites
Usability and Usability Testing
Getting Your Site Found
How Web Standards Get Your Data Discovered
Load Balancing Your WordPress Site
Securing Your WordPress Site
Using WordPress in the Enterprise
Is WordPress Right for Your Enterprise?
and much more!
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- SQL (Standard Query Language) is the ANSI standard language that allows people to create, access, manipulate, and store information in a relational database management system
- SQL is the core element of databases from companies such as Oracle, Microsoft, Informix, etc.
- The SQL market is widespread; all database programmers, developers, and administrators use this language to manipulate data
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New to the 2011 edition are articles including first-time Article 399 on October, Overhead Conductors with over 600 volts, first-time Article 694 on Small Wind Electric Systems, first-time Article 840 on Premises Powered Broadband Communications Systems, and more. This winning combination has created a valuable reference for those in or entering careers in electrical design, installation, inspection, and safety.

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- SQL (Standard Query Language) is the ANSI standard language that allows people to create, access, manipulate, and store information in a relational database management system
- SQL is the core element of databases from companies such as Oracle, Microsoft, Informix, etc.
- The SQL market is widespread; all database programmers, developers, and administrators use this language to manipulate data
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The perfect reference for programmers, administrators, or Web designers who are new to database development and are uncertain as to how to design and structure a database efficiently Shows how to design and implement robust, scalable databases on any of the major relational database management systems, including Access, SQL Server, IBM DB2, MySQL, and Oracle Covers all the key database design steps including modeling, normalization, SQL, denormalization, object-modeling, data warehousing, and performance Provides plenty of real-world examples and a complete beginning-to-end case study of creating a database that includes the analysis and planning, tables and data structures, business rules, and hardware requirements
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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 business needs?
In the extensively revised fourth edition, youll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on--with design rules that are applicable to any SQL-based system. But youll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems.
+ a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling--with examples throughout the book in both approaches!
+ the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax;
+ the fundamentals of database normalization through the fifth normal form;
+ practical coverage of the major issues in business intelligence--data warehousing, OLAP for decision support systems, and data mining;
+ examples for how to use the most popular CASE tools to handle complex data modeling problems.
+ Exercises that test understanding of all material, plus solutions for many exercises.
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- Why is proper column naming so important?
- Nulls in your database are causing you to get wrong answers. Why? What can you do about it?
- Is it possible to write an SQL query to find employees who have never been in the same department for more than six months at a time?
- SQL supports -quantified comparisons,- but they-re better avoided. Why? How do you avoid them?
- Constraints are crucially important, but most SQL products don-t support them properly. What can you do to resolve this situation?
Database theory and practice have evolved since the relational model was developed more than 40 years ago. SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of SQL available.

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Provides an overview of the SQL language and examines how it is integral for the storage and retrieval of database information Includes updates to SQL standards as well as any new features Explores SQL concepts, relational database development, SQL queries, data security, database tuning, and more Addresses the relationship between SQL and programming as well as SQL and XML If you
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Written by engineers from 10gen, the company that develops and supports this open source database, MongoDB: The Definitive Guide provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Learn how easy it is to handle data as self-contained JSON-style documents, rather than as records in a relational database.
Explore ways that document-oriented storage will work for your project
Learn how MongoDB
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Although the core of the SQL language remains relatively unchanged, the most recent release of the SQL standard (SQL:2008) includes two sets of extensions: 1) support for object-relational databases and 2) support for XML. The second edition of this book included some material about the object-relational extensions. However, that set of commands has been greatly extended and the new edition takes that into account. The XML extensions are entirely new to the third edition. A chapter on basic relational concepts will be also added to broaden the audience and make the book more complete in its own right.
All of the chapters will be revised to be sure they are up to date. Chapter 10 ("Views, Temporary Tables, and Indexes") from the second edition will be expanded to include common table expression (CTEs). The material in the existing Chapter 14 ("Unimplemented SQL-92 Features 251") will be disbursed through the chapters where the particular type of operation is discussed. While the content throughout will be updated where necessary, the existing organizational structure through chapter 14 will remain largely intact because this coverage represents the stable portion of the SQL language.
There will be two NEW chapters at the beginning of the book. Chapter 1 ("The Relational Data Model") covers the relational data model conceptual material; Chapter 2 ("Manipulating Relations with Relational Algebra") covers the relational algebra material that will be pulled from the retrieval chapters. Part 5 ("Non-relational SQL Extensions") will now include the non-relational SQL extensions in three chapters. Chapter 17 (NEW) will cover XML. Chapter 18 will contain the object-relational conceptual material from the original chapter 15 and chapter 19 (NEW) will cover SQL object-relational support. (Some of chapter 19 will come from the second edition, however, a great deal of object-relational support has been added to the current standard and therefore needs to be added.) The other NEW chapter is Chapter 14, which covers triggers and stored procedures. This material was missing from previous editions. Many readers should find it a useful addition.
�Demonstrates how to formulate SQL queries and how queries are processed to maximize performance of the database management system
Explains use of SQL to enter, modify or delete data to maintain database structural elements
Covers in great detail new SQL application for XML to meet the growing XML usage in development of online content
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* Master SQL basics and use simple, multi-table, and summary queries * Understand key concepts and the latest developments in relational database technology * Set up and manage SQL-based databases and write programs to access them * Create and use the sample database to run the SQL query examples in the book * Find out about Xpath, Xquery, and other XML-based database query standards * Discover how J2EE-based applications relate to data management * Use and program SQL databases with application servers to create powerful Web applications * Preview the future of SQL--including MySQL and the impact of XML and Web Services Download links: http://hotfile.com/dl/111441410/bae6897/0072118458.rar.html r
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This cookbook full of practical and applicable recipes will enable you to use the full latest capabilities of Dashboard Design to visually transform your business data. A wide range of recipes will equip you with the knowledge and confidence to perform tasks like configuring charts, creating drill- downs, making component colors dynamic, using alerts in maps, building pop-up screens, setting up What-If scenarios, and many more.
The recipes begin by covering best practices for using the Dashboard Design spreadsheet, the data-model, and the connection with the components on the canvas, later moving on to some from-the-trenches tricks for using Excel within Dashboard Design. The book then guides you through the exploration of various data visualization components and dashboard interactivity, as well as offering recipes on using alerts, dashboard connectivity, and making the most of the aesthetics of the dashboard. Finally, the recipes conclude by considering the most important add-ons available for Dashboard Design and enabling you to perform relevant and useful tasks straight away.
Create Dynamic Dashboards from Business Data using SAP BusinessObjects Dashboards 4.0 (fka Xcelsius)
What you will learn from this book :

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The failure of one database replica does not stop the system from working as available replicas can take over the tasks of the failed replica. Scalability can be achieved by distributing the load across all replicas, and adding new replicas should the load increase. Finally, database replication can provide fast local access, even if clients are geographically distributed clients, if data copies are located close to clients. Despite its advantages, replication is not a straightforward technique to apply, and there are many hurdles to overcome. At the forefront is replica control: assuring that data copies remain consistent when updates occur.
There exist many alternatives in regard to where updates can occur and when changes are propagated to data copies, how changes are applied, where the replication tool is located, etc. A particular challenge is to combine replica control with transaction management as it requires several operations to be treated as a single logical unit, and it provides atomicity, consistency, isolation and durability across the replicated system. The book provides a categorization of replica control mechanisms, presents several replica and concurrency control mechanisms in detail, and discusses many of the issues that arise when such solutions need to be implemented within or on top of relational database systems.
Table of Contents:
Overview / 1-Copy-Equivalence and Consistency / Basic Protocols / Replication Architecture / The Scalability of Replication / Eager Replication and 1-Copy-Serializability / 1-Copy-Snapshot Isolation / Lazy Replication / Self-Configuration and Elasticity / Other Aspects of Replication
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This is just one of the many exciting, real-world examples of database management you
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A complete guide that covers everything from installation to advanced features aimed at optimizing your application
Examine SimpleDB and the relational database model and review the Simple DB data model
Packed with examples in Java, PHP, and Python and screenshots to illustrate key concepts allowing you to focus application development
In Detail
SimpleDB is a highly scalable, simple-to-use, and inexpensive database in the cloud from Amazon Web Services. But in order to use SimpleDB, you really have to change your mindset. This isn't a traditional relational database; in fact it's not relational at all. For developers who have experience working with relational databases, this may lead to misconceptions as to how SimpleDB works.
This practical book aims to address your preconceptions on how SimpleDB will work for you. You will be quickly led through the differences between relational databases and SimpleDB, and the implications of using SimpleDB. Throughout this book, there is an emphasis on demonstrating key concepts with practical examples for Java, PHP, and Python developers.
You will be introduced to this massively scalable schema-less key-value data store: what it is, how it works, and why it is such a game-changer. You will then explore the basic functionality offered by SimpleDB including querying, code samples, and a lot more. This book will help you deploy services outside the Amazon cloud and access them from any web host.
You will see how SimpleDB gives you the freedom to focus on application development. As you work through this book you will be able to optimize the performance of your applications using parallel operations, caching with memcache, asynchronous operations, and more.
Gain in-depth understanding of Amazon SimpleDB with PHP, Java, and Python examples, and run optimized database-backed applications on Amazon's Web Services.
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SQLAlchemy includes both a database server-independent SQL expression language and an object-relational mapper (ORM) that lets you map “plain old Python objects” (POPOs) to database tables without substantially changing your existing Python code. Essential SQLAlchemy demonstrates how to use the library to create a simple database application, walks you through simple queries, and explains how to use SQLAlchemy to connect to multiple databases simultaneously with the same Metadata. You also learn how to:

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Such a target instance should correctly represent information from the source instance under the constraints imposed by the target schema, and it should allow one to evaluate queries on the target instance in a way that is semantically consistent with the source data. Data exchange is an old problem that re-emerged as an active research topic recently, due to the increased need for exchange of data in various formats, often in e-business applications. In this lecture, we give an overview of the basic concepts of data exchange in both relational and XML contexts.
We give examples of data exchange problems, and we introduce the main tasks that need to addressed. We then discuss relational data exchange, concentrating on issues such as relational schema mappings, materializing target instances (including canonical solutions and cores), query answering, and query rewriting. After that, we discuss metadata management, i.e., handling schema mappings themselves. We pay particular attention to operations on schema mappings, such as composition and inverse. Finally, we describe both data exchange and metadata management in the context of XML. We use mappings based on transforming tree patterns, and we show that they lead to a host of new problems that did not arise in the relational case, but they need to be addressed for XML. These include consistency issues for mappings and schemas, as well as imposing tighter restrictions on mappings and queries to achieve tractable query answering in data exchange.
Table of Contents: Overview / Relational Mappings and Data Exchange / Metadata Management / XML Mappings and Data Exchange
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