Master the business modeling and analysis techniques that help you transform data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical, scenario-focused guide—fully updated for Excel 2010. Use Wayne’s proven practices and hands-on examples to help you work smarter, make better decisions, and gain the competitive edge.
This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
Based on the relatively new Cocoa touch set of APIs and libraries, the Core Data framework is now available and accessible for app development and use on iPhone, iPad, and iPod touch devices. Pro Core Data for iOS explains how to use the Core Data framework for iOS.
The book explains both how and why to use Core Data, from simple to advanced techniques. Covering common and advanced persistence patterns, this book prepares any iOS developer to store and retrieve data accurately and efficiently.
Steps reader through Core Data
Graduates readers to advanced usage
Instructs how to tune and optimize persistence
What you’ll learn
Organize data appropriately
Persist data efficiently
Use Apple’s tools effectively
Build Core Data applications
Use Core Data in advanced settings
Version and migrate data as your applications evolve
Who this book is for
All iPhone, iPad, and iPod touch developers whose applications manage any amount of data.
Based on the relatively new Cocoa touch set of APIs and libraries, the Core Data framework is now available and accessible for app development and use on iPhone, iPad, and iPod touch devices. Pro Core Data for iOS explains how to use the Core Data framework for iOS.
The book explains both how and why to use Core Data, from simple to advanced techniques. Covering common and advanced persistence patterns, this book prepares any iOS developer to store and retrieve data accurately and efficiently.
Steps reader through Core Data
Graduates readers to advanced usage
Instructs how to tune and optimize persistence
What you’ll learn
Organize data appropriately
Persist data efficiently
Use Apple’s tools effectively
Build Core Data applications
Use Core Data in advanced settings
Version and migrate data as your applications evolve
Who this book is for
All iPhone, iPad, and iPod touch developers whose applications manage any amount of data.
This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.
Master the business modeling and analysis techniques that help you transform data into bottom-line results. Award-winning business professor and corporate consultant Wayne Winston shares the best of his real-world experience in this practical, scenario-focused guide—fully updated for Excel 2010. Use Wayne’s proven practices and hands-on examples to help you work smarter, make better decisions, and gain the competitive edge.
Hands-On Solutions and Best Practices for Developing and Managing XML Database Applications with DB2
More and more database developers and DBAs are being asked to develop applications and manage databases that involve XML data. Many are utilizing the highly praised DB2 pureXML technology from IBM. In the DB2 pureXML Cookbook, two leading experts from IBM offer the practical solutions and proven code samples that database professionals need to build better XML solutions faster. Organized by task, this book is packed with more than 700 easy-to-adapt “recipe-style” examples covering the entire application lifecycle–from planning and design through coding, optimization, and troubleshooting. This extraordinary library of recipes includes more than 250 XQuery and SQL/XML queries. With the authors’ hands-on guidance, you’ll learn how to combine pureXML “ingredients” to efficiently perform virtually any XML data management task, from the simplest to the most advanced.
Coverage includes
pureXML in DB2 9 for z/OS and DB2 9.1, 9.5, and 9.7 for Linux, UNIX, and Windows
Best practices for designing XML data, applications, and storage objects Importing, exporting, loading, replicating, and federating XML data
Querying XML data, from start to finish: XPath and XQuery data model and languages, SQL/XML, stored procedures, UDFs, and much more
Avoiding common errors and inefficient XML queries
Converting relational data to XML and vice versa
Updating and transforming XML documents
Defining and working with XML indexes
Monitoring and optimizing the performance of XML queries and other operations
Using XML Schemas to constrain and validate XML documents
XML application development–including code samples for Java, .NET, C, COBOL,PL/1, PHP, and Perl
