Dynamic Models in Biology Review

Dynamic Models in Biology
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This is an excellent book for students or faculty interested in learning more about the current state of the art in modeling of biological systems. The authors make a great effort to keep the mathematical sophistication at a level that students (or faculty) who primarily have a biological background will still be able to follow in some detail. They are also able to suggest some of the exciting current areas of research and new areas for the future. All in all, well worth reading if you are interested in the topic of modeling of biological systems.

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Mastering Oracle SQL, 2nd Edition Review

Mastering Oracle SQL, 2nd Edition
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Those of you dealing with the latest Oracle 10g, and perhaps frustrated with the quality of the Oracle documentation, might want to consult this second edition. Its greatest difference compared to the first edition is simply that it deals with 10g, whereas the latter talks about 9g. Mishra and Beaulieu explain, with extensive detail and examples, the new features. Like support for unix-like regular expressions within SQL statements. Given that many Oracle users probably hail from a unix/C background, they will welcome this.
Also, for mapping between XML and SQL data types, 10g now integrates XML. This will reduce the impedance mismatch between the object oriented and relational outlooks that bedevil many programmers who have to deal with both.
The only problem I found with this book is its lack of mention of competing databases. Because the authors explicitly assume that you have already committed to using Oracle as your database. Fair enough. But perhaps occasional comments in the text, about how a given command or feature is not possible in another database would be useful and appreciated by Oracle users. Heck, to be fair, on this point, the book is at no relative disadvantage. For example, I have texts on dB2 and MySQL that likewise say zilch about their competitors.

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The vast majority of Oracle SQL books discuss some syntax, provide the barest rudiments of using Oracle SQL, and perhaps include a few simple examples. It might be enough to pass a survey course, or give you some buzz words to drop in conversation with real Oracle DBAs. But if you use Oracle SQL on a regular basis, you want much more. You want to access the full power of SQL to write queries in an Oracle environment. You want a solid understanding of what's possible with Oracle SQL, creative techniques for writing effective and accurate queries, and the practical, hands-on information that leads to true mastery of the language. Simply put, you want useful, expert best practices that can be put to work immediately, not just non-vendor specific overview or theory.

Updated to cover the latest version of Oracle, Oracle 10g, this edition of the highly regarded Mastering Oracle SQL has a stronger focus on technique and on Oracle's implementation of SQL than any other book on the market. It covers Oracle s vast library of built-in functions, the full range of Oracle SQL query-writing features, regular expression support, new aggregate and analytic functions, subqueries in the SELECT and WITH clauses, multiset union operators, enhanced support for hierarchical queries: leaf and loop detection, and the CONNECT_BY_ROOT operator, new partitioning methods (some introduced in Oracle9i Release 2), and the native XML datatype, XMLType.

Mastering Oracle SQL, 2nd Edition fills the gap between the sometimes spotty vendor documentation, and other books on SQL that just don't explore the full depth of what is possible with Oracle-specific SQL. For those who want to harness the untapped (and often overlooked) power of Oracle SQL, this essential guide for putting Oracle SQL to work will prove invaluable.

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Designing Effective Database Systems (Addison-Wesley Microsoft Technology Series) Review

Designing Effective Database Systems (Addison-Wesley Microsoft Technology Series)
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This book gives you a points-to-points look-in on various core aspects ie: component parts & pieces, which earmark & characterizes the design of an effective database system
i'd say, this is a good (first,introductory db design book). it will endow you with the vision or skills to look at/objectively qualify ,the items you need to take into consideration all along the way to designing an effective database system from the beginning of the db design lifecycle to its watershed
This book is...
- Is a good, first birds-eye view of core aspects of the database design terrain from 5,000 feet.
- It's like circling at a high altitude of the database terrain first, whilst still practically clearly seeing the individual trees from the forest.
Its a 319 page read . the detail level is just about right to serve as a quick review of items to consider.
If its sorta your first dip into data & database design , its a good place to start but i'd recommend you take this book, couple it & digest it together with a read of :"Database Design" by Sams; ISBN:0672317583 -(a terrific book!) subsequently after ;
and you'll have a really good,full 20:20 vision of the database system design domain/aspect.
digesting these together gives you a brilliant foundation.
Value: The second book(ie: the Sams book), will patch-up on areas like relationships & give you more meat on all the core checklist of items to objectively consider straight away, if say tomorrow you found yourself commencing with/starting a db design effort. it's a better cookbook.
Riordan's book then would seem a very nice starter/introduction
At this new knowledge point/vantage, you are now equipped with a greater, squarer view of the terrain at some 7,000 feet. ie: at this point, if you were interested in doing the sql-server design exam: 70-229, or the Oracle fundamentals I equivalent: 1Z0-031, everything would make so much more sense re: triggers, sprocs, functions, cursors, Business rules + Constraints, RAID Backup , Indexing, Views, the SQL angle etc. if you pick up an ExamCram2 book + Transcender, Testking or whatever you select as your exam study guide of preference, you'll be able to finally see & understand how things -(aspects of the puzzle), actually all fit together and be able to translate almost effortlessly from conceptual design aspects to the necessary logical design-blueprint , to the physical implementation aspects.
And that which you understand... you won't forget
After digesting the Riordan book followed by the Sams book, you are now ready for intermediate to proficient level. 10,000 to 12,000 feet - design proficiency.
as a 3rd level book , i'd recommend you move on to reading the following 4 (ordered here by: most-entailed to least-entailed):
(1.) Database Modelling Essentials; ISBN:0126445516 ;
Value:(brings you a solid handle on building a database model to support a businesses activities)
(2.) Database Solutions; ISBN:0321173503 ;
Value: (clarity in cruising comfortably between d relational model and a good, solid, logical design...[a great book])
(3.) Database Design for Mere Mortals; ISBN: 0201752840 ;
Value: (great for reviewing Table Relationships -(setting-up joins) and reading the ERD -[Entity Relationship Diagrams])
(4.) Databases Demystified; ISBN:0072253649 ;
Value: (great for stepping you linearly through the database lifecycle again, with good explanations about what you should be sure you are doing & obtaining from each stage/step of the lifecycle)..ie: that which will be expected of you at each step/stage chunk
To cap things up, Read :
- "Beginning Relational database design" ; ISBN:1590594630 ;
Value: (pulls all your data modelling personal resource skills together and reconstitutes them for you by casting you in a role where you practice modelling a complete system from scratch ie: -[from gathering the requirements specification, to the end of the detailed conceptual database design effort for the system]);
And you'll have all the core skills you need to build/design one mean database, enterprise-oriented or otherwise or reverse-engineer one.
if you are already in the thick of a project and are really pressed to find a db design solution -[(logical) + (implementation in SQL code)] right now, maybe consider buying or looking into purchasing the pricey: "Data Model Resource CD_ROM" ;ISBN:0471388289;
Value: it boasts a library of proven: tried and tested Universal Data Models, for all Enterprise types.
So, all you'll need do is adapt or borrow a design solution/model or architecture that applies closely to what you're trying to accomplish modelling for your database project ,and adapt & implement it as a solution for the database system you are designing. it's Magic!
Though i rated d Riordan book 4 stars for the depth of its content matter, the book rates more like a 4.5 for sheer readability & clarity of explanations for such an often notoriously complex technical subject area.
I'd talk about core books that translate to laying-out a solid physical database implementation & tuning for performance, but thats gonna have to wait till maybe a future book review

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"Riordan covers core skills for any developer--database design and development--in a perfect amount of detail. This book should be on every professional developer's reading list."--Duncan Mackenzie, developer, Microsoft (MSDN)"Designing a database is not a trivial subject. Riordan brings experience and clear explanations to a fundamental part of software development."--Patrick Birch, database and technical writing consultant"If you buy only one book on database design, make it this one. Riordan has a talent for explaining technical issues in simple language, without over simplifying."--Brendan Reynolds, developer, Dataset IT Systems and Microsoft Access MVP"A book that will expertly guide you in how to develop a database for a client-- and how to do it right the first time!"--Kenneth D. Snell, Ph.D., ACCESS developer and Microsoft Access MVP "Riordan has produced a unique book that brings together a formal, yet commonsense, approach to relational database design...and then goes further! Many database designers will find immense value in the steps to developing practical data warehouse designs.If you are seeking a framework for designing transactional databases, or want to step out into the world of analytical databases, Riordan's book excels at bridging both worlds."--Paul Irvine, vice president, engineering, Via Training"Riordan takes a complex subject and makes it easy. If you're over your head on a database design project, this book will help bail you out!"--Mike Gunderloy, contributing editor, Application Development Trends"This book covers a wide range of database design and data modeling topics in a well-organized, easy to understand format."--Amy Sticksel, Sticksel Data Systems, Inc."In Designing Effective Database Systems, Riordan's style, wit, and attention to detail are outstanding."--Sandra Daigle, Microsoft Access MVP The Software Developer's Step-by-Step Guide to Database Design World-renowned expert Rebecca M. Riordan has written the definitive database design book for working developers who aren't database experts. No matter how messy or complex your data challenge, Designing Effective Database Systems shows you how to design an effective, high-performance database to solve it.Riordan begins by thoroughly demystifying the principles of relational design, making them accessible to every professional developer.Next, she offers the field's clearest introduction to dimensional database modeling--practical insight for designing today's increasingly important analytical applications. One task at a time, the author illuminates every facet of database analysis and design for both traditional databases and the dimensional databases used for data warehousing, showing how to avoid common architectural pitfalls that complicate development and reduce extensibility. The book concludes with comprehensive, expert guidance on designing databases for maximum usability.This book will teach you to *Understand relational database models, structures, relationships, and data integrity principles *Define database system goals, criteria, scope, and work processes *Construct accurate conceptual models: relationships, entities, domain analysis, and normalization *Build efficient, secure database schema *Master the elements of online analytical processing (OLAP) design: fact tables, dimension tables, snowflaking, and more *Architect and construct easy, efficient interfaces for querying and reporting *Learn from practice examples based on Microsoft's Northwind sample databaseRiordan has helped thousands of professionals master database design and development, earning Microsoft's coveted MVP honor for her exceptional contributions.Nobody is more qualified to help you master database design and apply it in your real-world environment.

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Market Segmentation: Conceptual and Methodological Foundations (International Series in Quantitative Marketing) Review

Market Segmentation: Conceptual and Methodological Foundations (International Series in Quantitative Marketing)
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We conduct several customer segmentaiton studies for various clients each year. This is one of only 5 books I recommend to other market researcher who are interested in the topic of consumer segmentation.

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Modern marketing techniques in industrialized countries cannotbe implemented without segmentation of the potential market. Goods areno longer produced and sold without a significant consideration ofcustomer needs combined with a recognition that these needs areheterogeneous. Since first emerging in the late 1950s, the concept ofsegmentation has been one of the most researched topics in themarketing literature. Segmentation has become a central topic to boththe theory and practice of marketing, particularly in the recentdevelopment of finite mixture models to better identify marketsegments. This second edition of Market Segmentation updates and extendsthe integrated examination of segmentation theory and methodologybegun in the first edition. A chapter on mixture model analysis ofpaired comparison data has been added, together with a new chapter onthe pros and cons of the mixture model. The book starts with aframework for considering the various bases and methods available forconducting segmentation studies. The second section contains a moredetailed discussion of the methodology for market segmentation, fromtraditional clustering algorithms to more recent developments infinite mixtures and latent class models. Three types of finite mixturemodels are discussed in this second section: simple mixtures, mixturesof regressions and mixtures of unfolding models. The third mainsection is devoted to special topics in market segmentation such asjoint segmentation, segmentation using tailored interviewing andsegmentation with structural equation models. The fourth part coversfour major approaches to applied market segmentation: geo-demographic,lifestyle, response-based, and conjoint analysis. The final concludingsection discusses directions for further research.

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Create Dynamic Charts in Microsoft® Office Excel® 2007 Review

Create Dynamic Charts in Microsoft® Office Excel® 2007
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I bought this book because it addressed a need I have - how to make better charts with the newest version of Excel (2007), and do it in a dynamic manner, i.e. with data that changes.
This is a typical computer book, with many hundreds of pages and an included CD of examples and other things.
One of the other things on the CD is an explanation of the author's "rS1.method" methodology (even the name should be a clue), which is used throughout the book and is used "in all the author's books" as though it were some kind of standard. In it the author prescribes a very set methodology and structure for laying out your multi-worksheet spreadsheets, and all the examples are based on it. If you need some discipline and like methodology, you will like this.
But if you are like me, impatient for results and not willing to be bound by a rigid framework, you will not like it.
The other thing I didn't like was the author's rambling and lecturing style. It was hard to wade through a long discourse on every subject before getting to the meat. One place in the small print it mentions that this book is "somewhat unusual" and is a "translation from the German" so that might explain why this is. I have read other books (history) that are direct translations from other languages (German in particular), and also from the one foreign language that I can read directly I know that the writing style differs by country and can seem quite strange to a reader in a different country. That seems to be the case with this book so it made tough going for me.
Anyway, there is useful material here and the book has helped me some, thus a generous 3 stars, but I wouldn't have bought it if I had known then what I know now.

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Extend your Excel 2007 skills—and create more-powerful and compelling charts in less time. Guided by an Excel expert, you'll learn how to turn flat, static charts into dynamic solutions—where you can visualize and manipulate data countless ways with a simple mouse click. Get the hands-on practice and examples you need to produce your own, professional-quality results. No programming required!

Maximize the impact of your ideas and data!

Learn how your design decisions affect perception and comprehension
Match the right chart type to your communication objective
Visualize—then build—your solution using the author's five-step approach
Apply the science of color to make the right things pop
Add controls—such as drop-down lists and scroll bars—without coding
Use conditional formatting to dynamically highlight and analyze data
Unleash your chart-making creativity—and bring numbers to life!

CD includes:

More than 150 sample, customizable charts for various business scenarios
Helpful worksheets and job aids
Bonus content and resources
Fully searchable eBook

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 OReilly Medias Digital Distribution services. To download this content, please visit OReillys 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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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)
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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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Bayes and Empirical Bayes Methods for Data Analysis, Second Edition Review

Bayes and Empirical Bayes Methods for Data Analysis, Second Edition
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This book features a deep and focused lesson on Bayes and Empirical Bayes Methods. It goes through the key topics as conjugate priors, MCMC methods (non iteratives and iteratives as the well known Gibbs samplining and metropolitis hastings algorithms), model selection methods (as bayes factor) and issues related as model robusteness.
The Approach is increasingly formal and deeply complex, allowing for getting the basics or diving into more complex knowledge according to your former background. You need at least a good understanding of Frequentist statistic to be able to follow the reasonings. Each chapter allow you to stop at some point without losing the thread. Last part of the book is in fact deep knowledge demanding.
The most interesting point of this book according to my very limited statistics background is that it makes good comparations with the frequentist approach (classical approaches as confidence intervals and point estimators), checking performance of either method. Even, it features some combination of both approaches getting some bayessian intervals.
As a negative point, I would say that examples are hard to follow for someone with limited bakground and too much complex. They really do not clear me up enough.
All in all, is a very profitable book for jumping into bayesian methods.

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In recent years, Bayes and empirical Bayes (EB) methods have continued to increase in popularity and impact. Building on the first edition of their popular text, Carlin and Louis introduce these methods, demonstrate their usefulness in challenging applied settings, and show how they can be implemented using modern Markov chain Monte Carlo (MCMC) methods. Their presentation is accessible to those new to Bayes and empirical Bayes methods, while providing in-depth coverage valuable to seasoned practitioners.With its broad appeal as a text for those in biomedical science, education, social science, agriculture, and engineering, this second edition offers a relatively gentle and comprehensive introduction for students and practitioners already familiar with more traditional frequentist statistical methods. Focusing on practical tools for data analysis, the book shows how properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance, both in theory and in practice.

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