A Developer S Guide To Data Modeling For Sql Server Covering Sql Server 2005 And 2008

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A Developer's Guide to Data Modeling for SQL Server

Author : Eric Johnson,Joshua Jones
Publisher : Addison-Wesley Professional
Page : 442 pages
File Size : 46,8 Mb
Release : 2008-06-24
Category : Computers
ISBN : 9780132701532

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A Developer's Guide to Data Modeling for SQL Server by Eric Johnson,Joshua Jones Pdf

“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. A Developer’s Guide to Data Modeling for SQL Server is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility

Developer's Guide to Data Modeling for SQL Server, A.

Author : Johnson
Publisher : Unknown
Page : 303 pages
File Size : 53,9 Mb
Release : 1900
Category : Electronic
ISBN : OCLC:1027198437

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Developer's Guide to Data Modeling for SQL Server, A. by Johnson Pdf

This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you're modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn't enough: models that don't reflect SQL Server's unique real-world strengths and weaknesses ofte.

Data Science with SQL Server Quick Start Guide

Author : Dejan Sarka
Publisher : Packt Publishing Ltd
Page : 196 pages
File Size : 46,6 Mb
Release : 2018-08-31
Category : Computers
ISBN : 9781789537130

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Data Science with SQL Server Quick Start Guide by Dejan Sarka Pdf

Get unique insights from your data by combining the power of SQL Server, R and Python Key Features Use the features of SQL Server 2017 to implement the data science project life cycle Leverage the power of R and Python to design and develop efficient data models find unique insights from your data with powerful techniques for data preprocessing and analysis Book Description SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you. This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment. You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm. What you will learn Use the popular programming languages,T-SQL, R, and Python, for data science Understand your data with queries and introductory statistics Create and enhance the datasets for ML Visualize and analyze data using basic and advanced graphs Explore ML using unsupervised and supervised models Deploy models in SQL Server and perform predictions Who this book is for SQL Server professionals who want to start with data science, and data scientists who would like to start using SQL Server in their projects will find this book to be useful. Prior exposure to SQL Server will be helpful.

Foundations of SQL Server 2005 Business Intelligence

Author : Lynn Langit
Publisher : Apress
Page : 405 pages
File Size : 40,8 Mb
Release : 2007-09-08
Category : Computers
ISBN : 9781430202486

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Foundations of SQL Server 2005 Business Intelligence by Lynn Langit Pdf

This book is the most concise yet comprehensive introduction to SQL Server 2005 Business Intelligence. The book is the quickest path to seeing the Business Intelligence (BI) forest as a whole as well as understanding the trees within it. It is essential reading for all who work with SQL Server 2005. Foundations of SQL Server 2005 Business Intelligence is written by a noted expert from a practical perspective. It is designed for all users of any of the tools in SQL Server 2005’s extraordinarily rich BI product suite. Developers, end-users, and even managers will find this an enlightening guide to the power and promise of SQL Server 2005 BI.

Pro SQL Server 2008 Reporting Services

Author : Rodney Landrum,Walter Voytek,Shawn McGehee
Publisher : Apress
Page : 414 pages
File Size : 41,5 Mb
Release : 2008-09-24
Category : Computers
ISBN : 9781430206514

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Pro SQL Server 2008 Reporting Services by Rodney Landrum,Walter Voytek,Shawn McGehee Pdf

Pro SQL Server Reporting Services 2008 is the third edition of Apress' top book on Microsoft's enterprise-level reporting tool. The previous edition has sold some 2100 units over a two-year period. This revision, combined with the impending release of SQL Server 2008, breathes new life into the topic and into this book.

Beginning T-SQL with Microsoft SQL Server 2005 and 2008

Author : Paul Turley,Dan Wood
Publisher : John Wiley & Sons
Page : 705 pages
File Size : 44,6 Mb
Release : 2011-01-06
Category : Computers
ISBN : 9780470440490

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Beginning T-SQL with Microsoft SQL Server 2005 and 2008 by Paul Turley,Dan Wood Pdf

If you've not programmed with Transact-SQL, this book is for you.It begins with an overview of SQL Server query operations and tools used with T-SQL, and covers both the 2005 and 2008 releases of SQL Server query tools and the query editor. The book then moves to show you how to design and build applications of increasing complexity. Other important tasks covered include full text indexing, optimizing query performance, and application design and security considerations. The companion website also provides all of the code examples from the book.

The Microsoft Data Warehouse Toolkit

Author : Joy Mundy,Warren Thornthwaite
Publisher : John Wiley & Sons
Page : 794 pages
File Size : 55,5 Mb
Release : 2007-12-10
Category : Computers
ISBN : 9780470342916

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The Microsoft Data Warehouse Toolkit by Joy Mundy,Warren Thornthwaite Pdf

This groundbreaking book is the first in the Kimball Toolkit series to be product-specific. Microsoft’s BI toolset has undergone significant changes in the SQL Server 2005 development cycle. SQL Server 2005 is the first viable, full-functioned data warehouse and business intelligence platform to be offered at a price that will make data warehousing and business intelligence available to a broad set of organizations. This book is meant to offer practical techniques to guide those organizations through the myriad of challenges to true success as measured by contribution to business value. Building a data warehousing and business intelligence system is a complex business and engineering effort. While there are significant technical challenges to overcome in successfully deploying a data warehouse, the authors find that the most common reason for data warehouse project failure is insufficient focus on the business users and business problems. In an effort to help people gain success, this book takes the proven Business Dimensional Lifecycle approach first described in best selling The Data Warehouse Lifecycle Toolkit and applies it to the Microsoft SQL Server 2005 tool set. Beginning with a thorough description of how to gather business requirements, the book then works through the details of creating the target dimensional model, setting up the data warehouse infrastructure, creating the relational atomic database, creating the analysis services databases, designing and building the standard report set, implementing security, dealing with metadata, managing ongoing maintenance and growing the DW/BI system. All of these steps tie back to the business requirements. Each chapter describes the practical steps in the context of the SQL Server 2005 platform. Intended Audience The target audience for this book is the IT department or service provider (consultant) who is: Planning a small to mid-range data warehouse project; Evaluating or planning to use Microsoft technologies as the primary or exclusive data warehouse server technology; Familiar with the general concepts of data warehousing and business intelligence. The book will be directed primarily at the project leader and the warehouse developers, although everyone involved with a data warehouse project will find the book useful. Some of the book’s content will be more technical than the typical project leader will need; other chapters and sections will focus on business issues that are interesting to a database administrator or programmer as guiding information. The book is focused on the mass market, where the volume of data in a single application or data mart is less than 500 GB of raw data. While the book does discuss issues around handling larger warehouses in the Microsoft environment, it is not exclusively, or even primarily, concerned with the unusual challenges of extremely large datasets. About the Authors JOY MUNDY has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Joy co-founded InfoDynamics LLC, a data warehouse consulting firm, then joined Microsoft WebTV to develop closed-loop analytic applications and a packaged data warehouse. Before returning to consulting with the Kimball Group in 2004, Joy worked in Microsoft SQL Server product development, managing a team that developed the best practices for building business intelligence systems on the Microsoft platform. Joy began her career as a business analyst in banking and finance. She graduated from Tufts University with a BA in Economics, and from Stanford with an MS in Engineering Economic Systems. WARREN THORNTHWAITE has been building data warehousing and business intelligence systems since 1980. Warren worked at Metaphor for eight years, where he managed the consulting organization and implemented many major data warehouse systems. After Metaphor, Warren managed the enterprise-wide data warehouse development at Stanford University. He then co-founded InfoDynamics LLC, a data warehouse consulting firm, with his co-author, Joy Mundy. Warren joined up with WebTV to help build a world class, multi-terabyte customer focused data warehouse before returning to consulting with the Kimball Group. In addition to designing data warehouses for a range of industries, Warren speaks at major industry conferences and for leading vendors, and is a long-time instructor for Kimball University. Warren holds an MBA in Decision Sciences from the University of Pennsylvania's Wharton School, and a BA in Communications Studies from the University of Michigan. RALPH KIMBALL, PH.D., has been a leading visionary in the data warehouse industry since 1982 and is one of today's most internationally well-known authors, speakers, consultants, and teachers on data warehousing. He writes the "Data Warehouse Architect" column for Intelligent Enterprise (formerly DBMS) magazine.

Microsoft SQL Server 2005 Developer's Guide

Author : Michael Otey,Denielle Otey
Publisher : McGraw Hill Professional
Page : 530 pages
File Size : 43,8 Mb
Release : 2005-12-30
Category : Computers
ISBN : 9780071483483

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Microsoft SQL Server 2005 Developer's Guide by Michael Otey,Denielle Otey Pdf

Developers will discover how to unleash the full power of Microsoft SQL Server 2005 with this developer's guide by best-selling author, Michael Otey. Completely rewritten and reengineered, this book will focus on the new programming models and will provide readers with all the information they need to produce top-quality commercial applications

Professional SQL Server 2005 Reporting Services

Author : Paul Turley,Todd Bryant,James Counihan,Dave DuVarney
Publisher : John Wiley & Sons
Page : 722 pages
File Size : 55,6 Mb
Release : 2006-03-06
Category : Computers
ISBN : 9780470039182

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Professional SQL Server 2005 Reporting Services by Paul Turley,Todd Bryant,James Counihan,Dave DuVarney Pdf

SQL Server Reporting Services is the customizable reporting solution for report designers and programmers. This hands-on guide will get you up to speed quickly so you can design, deploy, manage, and even customize reporting solutions. You can create powerful reports without programming knowledge and extend reporting solutions using VB, C#, and ASP.NET. Packed with detailed examples of building reports, designing report solutions, and developing deployment strategies for interacting with various platforms, this book prepares you to take full advantage of this revolutionary tool. Plus, you'll learn how to extend practically every feature of Reporting Services by implementing your own security architecture or adding custom data access. What you will learn from this book Details of programming reports and report scripting Advanced report design, including drill-down reports, nested lists, drill-through, links, and dynamic content High-level strategies for business and support systems Rendering reports using .NET code, .NET IO namespace classes, and URL rendering deployment strategies to handle hardware, software, and platform considerations, licensing issues, and scaling options How to design reports for mobile services Various tools used to define data sources and semantic metadata models How to use parameters and expressions to define creative report solutions Advanced object-oriented programming techniques, with examples in C# and VB 2005. Who this book is for This book is for report designers, developers, administrators, and business professionals interested in learning the advanced functionality, report server administration, and security issues of SQL Server 2005 Reporting Services. Wrox Professional guides are planned and written by working programmers to meet the real-world needs of programmers, developers, and IT professionals. Focused and relevant, they address the issues technology professionals face every day. They provide examples, practical solutions, and expert education in new technologies, all designed to help programmers do a better job.

Microsoft SQL Server 2008 Reporting Services Unleashed

Author : Michael Lisin,Jim Joseph,Amit Goyal
Publisher : Sams Publishing
Page : 696 pages
File Size : 51,7 Mb
Release : 2009-07-20
Category : Computers
ISBN : 9780768689167

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Microsoft SQL Server 2008 Reporting Services Unleashed by Michael Lisin,Jim Joseph,Amit Goyal Pdf

Microsoft® SQL Server™ 2008 Reporting Services Unleashed Michael Lisin Jim Joseph Amit Goyal The authoritative, example-rich guide to Microsoft’s powerful reporting platform With Microsoft SQL Server 2008 Reporting Services you can quickly deliver relevant business intelligence data wherever it’s needed–across the entire enterprise, and through the entire reporting lifecycle. SQL Server 2008 Reporting Services Unleashed gives you all the authoritative information you’ll need to make the most of Microsoft’s most powerful reporting platform as a database professional, manager, or user. In-depth coverage makes this book an ideal reference, and its extensive set of practical examples help you address virtually any challenge in deployment, configuration, administration, or report building. The authors have extensively expanded this edition with deeper reference information, many more practical examples, and insider perspective into Reporting Services 2008’s powerful new enhancements. You’ll discover how to take full advantage of Reporting Services’ significant architectural changes, its flexible new Tablix control, improved visualization through charts and gauges, deep SharePoint integration through SharePoint Integrated Mode, new output presentation formats, and much more. Understand how to Learn about the new features of Service Pack 1 (SP1) and the SQL Server 2008 R2 release Quickly take advantage of Microsoft’s newest SQL Server Reporting Services enhancements Use Reporting Services to identify trends and solve real business problems Master report authoring–from basic, wizard-driven techniques to the cutting edge Group, sort, and aggregate data, and define the right scope for your information Utilize advanced report formatting techniques Work effectively with multidimensional sources Manage report data sources and models Secure reports against attacks and intrusions Customize Reporting Services with embedded functions, custom assemblies, URL access, Web Services, and other extensions Thoroughly integrate SQL Server reporting into any SharePoint site Michael Lisin, lead author of Microsoft SQL Server 2005 Reporting Services, has years of field experience working with SQL Server Reporting Services at Microsoft and delivering solutions for Microsoft’s enterprise customers. Jim Joseph, co-author of Microsoft SQL Server 2005 Reporting Services Unleashed, is an independent contractor with 10 years experience developing custom software solutions in a variety of industries. He has worked with SQL Server Reporting Services since the first beta release. Amit Goyal, lead program manager for Microsoft’s Reporting Services team, has extensive insider’s knowledge of SQL Server 2008 Reporting Services. ON THE WEB: Download all examples and source code presented in this book from informit.com/sams Category: Microsoft Databases Covers: Microsoft SQL Server 2008 Reporting Services User Level: Intermediate—Advanced

Microsoft SQL Server 2008 Integration Services

Author : Erik Veerman,Jessica M. Moss,Brian Knight,Jay Hackney
Publisher : John Wiley & Sons
Page : 479 pages
File Size : 50,7 Mb
Release : 2009-10-16
Category : Computers
ISBN : 9780470593943

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Microsoft SQL Server 2008 Integration Services by Erik Veerman,Jessica M. Moss,Brian Knight,Jay Hackney Pdf

An authoritative guide to designing effective solutions for datacleansing, ETL, and file management with SQL Server 2008Integration Services SQL Server Integration Services (SSIS) is the leading tool inthe data warehouse industry, used for performing extraction,transformation, and load operations. After an overview of SSIS architecture, the authors walk you aseries of real-world problems and show various techniques forhandling them. Shows you how to design SSIS solutions for data cleansing, ETLand file management Demonstrates how to integrate data from a variety of datasources, Shows how to monitor SSIS performance, Demonstrates how to avoid common pitfalls involved with SSISdeployment Explains how to ensure performance of the deployed solution andeffectively handle unexpected system failures and outages The companion Web site provides sample code and databasescripts that readers can directly implement This book shows you how to design, build, deploy, and managesolutions to real-world problems that SSIS administrators anddevelopers face day-to-day.

Building a Data Warehouse

Author : Vincent Rainardi
Publisher : Apress
Page : 546 pages
File Size : 46,7 Mb
Release : 2007-12-27
Category : Computers
ISBN : 1590599314

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Building a Data Warehouse by Vincent Rainardi Pdf

Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation. What you’ll learn A detailed understanding of what it takes to build a data warehouse The implementation code in SQL Server to build the data warehouse Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design Practical data warehousing applications such as business intelligence reports, analytics applications, and customer relationship management Who this book is for There are three audiences for the book. The first are the people who implement the data warehouse. This could be considered a field guide for them. The second is database users/admins who want to get a good understanding of what it would take to build a data warehouse. Finally, the third audience is managers who must make decisions about aspects of the data warehousing task before them and use the book to learn about these issues.

SQL Server 2017 Developer’s Guide

Author : William Durkin,Miloš Radivojević,Dejan Sarka
Publisher : Packt Publishing Ltd
Page : 809 pages
File Size : 42,7 Mb
Release : 2018-03-16
Category : Computers
ISBN : 9781788479936

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SQL Server 2017 Developer’s Guide by William Durkin,Miloš Radivojević,Dejan Sarka Pdf

Build smarter and efficient database application systems for your organization with SQL Server 2017 Key Features Build database applications by using the development features of SQL Server 2017 Work with temporal tables to get information stored in a table at any time Use adaptive querying to enhance the performance of your queries Book Description Microsoft SQL Server 2017 is the next big step in the data platform history of Microsoft as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. Compared to its predecessor, SQL Server 2017 has evolved into Machine Learning with R services for statistical analysis and Python packages for analytical processing. This book prepares you for more advanced topics by starting with a quick introduction to SQL Server 2017’s new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to enhancements in the Transact-SQL language and new database engine capabilities and then switches to a completely new technology inside SQL Server: JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Towards the end of the book, you’ll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You’ll also learn to integrate Python code in SQL Server and graph database implementations along with deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle. What you will learn Explore the new development features introduced in SQL Server 2017 Identify opportunities for In-Memory OLTP technology Use columnstore indexes to get storage and performance improvements Exchange JSON data between applications and SQL Server Use the new security features to encrypt or mask the data Control the access to the data on the row levels Discover the potential of R and Python integration Model complex relationships with the graph databases in SQL Server 2017 Who this book is for Database developers and solution architects looking to design efficient database applications using SQL Server 2017 will find this book very useful. In addition, this book will be valuable to advanced analysis practitioners and business intelligence developers. Database consultants dealing with performance tuning will get a lot of useful information from this book as well. Some basic understanding of database concepts and T-SQL is required to get the best out of this book.