Showing posts with label sql server. Show all posts
Showing posts with label sql server. Show all posts

10/12/2012

Microsoft® SQL Server(TM) 2000 Analysis Services Step by Step (DV-DLT Fundamentals) Review

Microsoft® SQL Server(TM) 2000 Analysis Services Step by Step (DV-DLT Fundamentals)
Average Reviews:

(More customer reviews)
This Step by Step guide serves as a great starting point for getting familiar with Microsoft's Analysis services. It starts with a quick introduction to data warehousing (without resorting to giving an entire history of the subject, as seems so common today) and how it relates to OLAP and then moves right into the Analysis Servies tools.
The chapters are well written and get you the information you need, without missing any major details. Even if you don't plan to take the "step by step" approach, this book is worth having by your side.
All right... now for the downsides. At best this book is good for beginners. These are some of the areas where I found it came up short:
- Sizing systems that will support Analysis Services. The book talks a bit about how big cubes are, but there is no information about cube performance/cube sizing, etc. Basically, this book won't help you develop a hardware plan for hosting Analysis Services.
- Accessing Analysis Services via the web. All of Microsoft's literature talks about how SQL Server 2000's great support for the web/XML. Strangely, it is very hard to find this information for Analysis Services, and this book doesn't provide any guidance. Right now it seems that the best you can do to find this information is hunt around Microsoft's site.
Overall I still think this is good book. However, if you are going to be building a large Analysis Services system, expect to be looking for other sources to answer all of your questions.

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MICROSOFT® SQL SERVER™ 2000 ANALYSIS SERVICES STEP BY STEP shows Microsoft Excel and Access experts, IS managers, and database developers how to build applications that take advantage of the powerful data-analysis services in Microsoft SQL Server 2000. You'll discover why these services make it easier to analyze huge amounts of data quickly, and you'll learn how to develop a wide range of advanced dimensional-data applications-from enterprise reporting tools to advanced decision-support systems. The book's easy-to-follow lessons begin with clear objectives and include real-world business examples, with a companion CD full of sample files that support each lesson.

This title shows you how to:

Administer the Analysis Manager: Understand the fundamentals behind data dimensions and hierarchies, data warehousing, and the Microsoft Analysis Services architecture, and use the Microsoft Analysis Manager application to define and populate data cubes.
Create and display cubes: Define and modify measures and dimensions. Design, build, process, and view cubes, from simple to advanced, with cube and dimension editors. Use Microsoft Excel PivotTable® Reports and the PivotTable List in Microsoft Excel to browse cubes, and create cubes using Microsoft Office.
Query cubes: Use multidimensional expressions (MDX) values and sets and the MDX Sample application to query and display dimensional data.
Perform advanced administration: Choose data storage options and the Storage Design Wizard to optimize, manage, and update data efficiently. Automate the Analysis server to process an OLAP database. Work with partitions and automate updates, and apply security to cubes.

A Note Regarding the CD or DVD

The print version of this book ships with a CD or DVD. For those customers purchasing one of the digital formats in which this book is available, we are pleased to offer the CD/DVD content as a free download via O'Reilly Media's Digital Distribution services. To download this content, please visit O'Reilly's web site, search for the title of this book to find its catalog page, and click on the link below the cover image (Examples, Companion Content, or Practice Files). Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to booktech@oreilly.com.


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9/15/2012

Learning SQL Review

Learning SQL
Average Reviews:

(More customer reviews)
Like everyone else, I'm pressed for time. It's all I can do to keep up with Java, let alone related incidental technologies such as SQL, JavaScript, HTML, Ant, etc. But as one reviewer pointed out: make no mistake, you need to know SQL. And if you don't (hell, even if you do), this is just a flat-out good book to have and read. I had previously purchased and read "SQL for Dummies", but threw that book out when I got this one. (To be honest, it wasn't just this book that made me toss the "Dummies" book; I never really liked it to begin with.)
I like the way "Learning SQL" is written. Sure, facts are presented, but the author does a masterful job of telling you how and why those facts exist. In addition, the conversational tone of the book proceeds along the path you'd expect from a real conversation: from the simpler to the more complex, in a logical and sensical path. (Okay, so most conversations don't fall into that category. But this book sure does, so do yourself a favor and buy it!)
Oh, and one more thing related to being pressed for time: it's not the technical-typical 700+ pages, it's just a few hundred.

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Updated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft's SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second Edition, will help you easily master all the SQL fundamentals. Each chapter presents a self-contained lesson on a key SQL concept or technique, with numerous illustrations and annotated examples. Exercises at the end of each chapter let you practice the skills you learn. With this book, you will:



Move quickly through SQL basics and learn several advanced features
Use SQL data statements to generate, manipulate, and retrieve data
Create database objects, such as tables, indexes, and constraints, using SQL schema statements
Learn how data sets interact with queries, and understand the importance of subqueries
Convert and manipulate data with SQL's built-in functions, and use conditional logic in data statements

Knowledge of SQL is a must for interacting with data. With Learning SQL, you'll quickly learn how to put the power and flexibility of this language to work.


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11/25/2011

A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 Review

A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008
Average Reviews:

(More customer reviews)
"A Developers Guide to Data Modeling for SQL Server" is billed to be for all level of data modelling development, however it is written in a style targeted to beginning novice developers only, and never progresses very far beyond demonstrating the fundamentals of Data Modeling. For novices, it is extremely good resource, explaining highly technical concepts in an easy to understand non-technical language. However, for the experienced developer, it would be best to look elsewhere.

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"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 MagazineModel 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


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