Thursday, 29 March 2012

Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture

Make data integration: How to systematically reduce costs, improve quality and efficiency

Today, companies are investing considerable resources in data integration. Many data integration peer-to-point, thousands of undocumented expensive and difficult to maintain. Data integration is no longer a classical data warehouse and business intelligence projects, a significant cost and risk - companies increasingly rely on analytic, and the need for plan data integration is increasing more than ever.

Reduce costs, simplify management, and improve the quality and effectiveness of the identification, design and construction of components for the clear and consistent approach to data integration: This book offers a solution. Eminent specialist IBM Data Management with Tony Giordano architecture, design and methodology, best practices, and I'm disciplined work to get the right shows how the integration of data.

Mr. Giordano is a smooth integration of operational and analytical data and the integration of administrative data to create models to show how the "model" begins with an explanation. After each phase, activity, task, and delivered through a full case study, explaining Walk along the life cycle of the project. Finally, knowledge management with other disciplines how to integrate metadata and integrated data management. Annexed to the book, but the basic principles, detailed models and data integration provides a comprehensive dictionary.

Included in the coverage
  • The implementation of efficient processes and a well documented reproducible data integration
  • Integration costs and improves quality by eliminating unnecessary or duplicate data
  • High complexity, associated with data integration of business management and technical
  • Integration of process models and data in a more efficient use of graphic design, intuitive techniques
  • Meet the many complex data sources to the end of construction at the end of data integration applications

About the Author

Anthony Giordano partner of IBM Business Analytics and Optimization consulting and service company is currently online information management, data modeling, data integration, data management and data management, conduit. His areas of business intelligence storage, data and information management focusing on information technology have over 20 years experience in the field. In his spare time, he with several local universities, undergraduate and graduate students trained in data warehousing and project management.

Tuesday, 20 March 2012

Data Analysis Using SQL and Excel

Knowledge into effective action is required for business analysis tools. This book and business information extracted from relational databases to store data to identify aspects of business transactions and offer customers more to use it to help you use SQL and Excel. When and why do the design and analysis using SQL and Excel to obtain useful results, and results should be similar to how the company to perform some type of analysis are described in each chapter.

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Harness the power of SQL and Excel to perform business analysis

Three major efforts are required for efficient conversion of knowledge to action: Import data from Excel data with SQL, the presentation and understanding of statistics as the basis for data analysis. Data mining expert Gordon Linoff focuses on these issues, SQL and shows you how to use Excel to extract business information from relational databases. Start taking a look at the amount of data, customers, products and markets is central to the task of understanding the dimensions of business relationships to customers and then the store will show you how to use these data to identify and summarize important data to produce results. On the way, it aims to improve understanding of why some things work and others' stories based on personal experience in the field, to share.

When and why to design and how to perform the analysis using SQL and Excel to obtain useful results and outcomes for what they can expect to look like some type of business to conduct the analysis described in each section. Throughout the book, the essential features of Excel are highlighted, interesting uses of Excel graphics are explained, and processing of data streams and graphical representation of data in SQL Server is used to show you how.

SQL and Excel, SQL, and advice to share data analysis / mining on the Excel Data Analysis Using Alerts and technical asides. The book discusses:
  • How to describe the structure of an entity-relationship diagrams, data
  • Ways to use SQL to create SQL queries
  • This means, as the descriptive statistics and chi-square p-values
  • How to analyze data, including geographic information
  • The basic ideas of risk and the probability of survival
  • Data structures, how to summarize what he looks like a client at some point in
  • Several variants of linear regression
  • Companion Website, data sets, Excel spreadsheets and provides examples in the book.

About the Author

Gordon S. Linoff data miners, Inc., a consulting firm specializing in data mining is one of the founders. Data mining techniques that bestseller, Second Edition, and Mastering Data Mining (Wiley both) is co-author. This, customer relations, marketing and managing the implementation of data mining techniques to business problems that have more than a decade.

Wednesday, 14 March 2012

Oracle Data Warehousing and Business Intelligence Solutions

On the Oracle database and business intelligence tools, comprehensive coverage

Written by a team familiar with Oracle, the authoritarian end of the book, as well as coverage of the platform for Oracle Business Intelligence data storage tools. You offer a complete range of Oracle somuremiyorlar and learn how these features can be used to provide solutions to a variety of needs and requirements. Furthermore, the authors of their applications on the basis of real world experience and get advice and valuable information. Avoid many common pitfalls while learning best practices for:
  • The Oracle technologies, data warehousing, design, build and manage your savings
  • The integration of custom database and business intelligence solutions from other vendors
  • Marketing, sales and more new set of tools to analyze the data using Oracle Business Intelligence
  • The typical operation of the management challenges of data storage
  • To explore initiatives in the business, security business promoter, risk management and project team

About the Author

Vice President Robert Stackowiak Oracle Business Intelligence Unit, Business Technology. O, Oracle, IBM, Harris Corporation, and intelligence for U.S. firms Army, data warehousing and Corps of Engineers has worked for over 20 years of related functions. His work on intelligence technologies and business information and software, magazines, publications, databases and Data Warehousing Institute, appeared in publications as President and CEO of trends and applications. Furthermore, the authors of the book Oracle Essentials: Oracle Database 10g (now the third edition, February 2004, O'Reilly), Oracle Application Server 10g Essentials (first edition, August 2004, O'Reilly) and Professional Oracle Programming (first edition, June 2005, Wrox).

Joseph Rayman financial services, manufacturing, telecommunications, retail health care, and a wide range of industries, including the federal government over 20 years of business experience in North America leads the Oracle Business Intelligence Consulting practice. Technical and commercial leadership in the design of enterprise architecture, data applications for quality assurance, enterprise data modeling, VLDB fixing systems, data warehouse design, data mining and warehouse covering activities. Joe the definition and methodology to create the Oracle Data Warehouse Consulting is an important factor. Before joining Oracle, Joe designing and implementing business intelligence solutions, for a statistical analysis for a food manufacturer and a major international financial institution to discuss and analyze real-time solutions.

Rick Greenwald Oracle, Gupta Technologies, Cognos, and the general data, including the IT field for 20 years worked for major suppliers. Oracle Database 10g (now the third edition, February 2004, O'Reilly), Oracle Application Server 10g Essentials (first edition, August: It is more than a dozen books, including Oracle Essentials, co-wrote in 2004, O'Reilly) and the Professional Oracle Programming (first edition, June 2005, Wrox). Mr. Greenwald now works for Ingres Corporation.

Sunday, 11 March 2012

Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management)

This reference, three visions for managing information technology strategy, provides the theory and practice: data mining, warehousing, online analytical processing (OLAP) and data. Factory Information: The information technology of the distribution system to work together shows how to create a new class. The book includes patterns and indexing techniques, and discusses the development of applications using OLAP tools. Alex Berson author of "client / server" and co-writer (George Anderson) and "Computer and Sybase Client / Server" "database client / server, Sybase and Design" is.

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Optimize the distribution system to organize data! Today's business environment is a priority to improve presentation of data in the field of computing. This comprehensive guide and higher effective data mining and how strong is to integrate other data storage technologies can help to illustrate. You will learn: data storage (SMP and MPP parallel to assess the various solutions, including systems, online analytical processing (OLAP) is a competitive advantage by leveraging business problems faster, use the databases for establish a system for managing data storage, metadata, OLAP, etc..) through the Internet, the use of leverage data warehousing, client / server, and various data mining tools. 

And a detailed description of available data storage technologies and provide strategic analysis, databases, books, data warehousing, star schema and approaches snowflake, multidimensional models as a practical guide for the design and mutirelational, advanced indexing and data mining. Also, learn to compare different technologies and data mining products and how they fit into your overall business processes and understand the data. HIPS and is designed for strategic planners, this fascinating book, standards, tools, technologies and data storage capacity can be relied upon as a basic reference for today.

Tuesday, 6 March 2012


Customer-focused technology company to create an environment

"The authors noted that MDM is a complex space and multi-dimensional and provide practical advice for the proper implementation of MDM for everyone in sufficient detail to cover all these dimensions proposed. It really stimulates the longest book that the authors of a comprehensive treatment of MDM, so that previous studies, missing "-. Malcolm Chisholm, Ph.D., President, Consulting, Inc.

The data control again, and this authoritative guide for head teachers is also included in the data of the company to maintain detailed information. Master Data Management and Data Management, Second Edition, the current architecture and system development and management methods and technology vision coverage provides up to date. , MDM Business Case and create a roadmap to create accurate models, data centers, to implement and learn to implement security policies in layers. Older systems, the cross-industry, this comprehensive volume also includes the integration and adaptation challenges.
  • Plan and implement at the level of MDM and data governance solutions
  • Improve the model data
  • Define the match and the records of active links executives from different regions with a resolution of
  • Improved efficiency and integration of SOA and Web services to maximize
  • Local, state, federal and international regulations to ensure compliance
  • On authentication, authorization, roles, rights and security by using encryption Manage
  • Protect yourself against identity theft, data compromise, and spyware and worm attacks
  • Components and the test data synchronization quality and system performance.

About the Author

Alex Berson, thought actually an internationally recognized expert in information management, information security, advanced databases, SOA, CRM, data warehousing, mobile computing and leaders in the fields, the writer and consultant treatment, complex financial services, manufacturing, innovative solutions to the pharmaceutical and technology focuses on the establishment.

Dr. Larry Dubov recognized scientific, professional, and expert and I thought the company products and financial services, banking, telecommunications, pharmaceuticals and vertical drive of the implementation of technology solutions leader complex. Its main objective MDM, Master Data Management, CRM, data warehouses, operational data stores and that the SOA.

Friday, 2 March 2012

Data Warehousing: Architecture and Implementation

This book offers what you need most too each participant's data warehouse project: a comprehensive overview of current and best solutions to meet their objectives in a reliable, step-by-step in creating stores. Everyone, including a data warehouse initiative answers the fundamental questions raised by. And, with 75 prominent figures which indicated that just tell you how to do business. In practice, migration strategies and scenarios, including 12 major steps on foot. Technical troubleshooting, capacity planning, security and support, including management and support for the examination of important issues. Explore the techniques of art design and development programs in the state of Meta. The best hardware, software and platforms to choose - and as a data warehouse to develop new technologies mature. The Metadata Exchange Standard Preview and Web solutions in the futur.Enterprise Computing Institute Series section.

From the Inside


This book, information technology (IT) is to hear, or data storage technologies, has been commissioned to assess the learning and applying. Far from being a fad, even if the subject of data storage technology, products, suppliers, organizations, and yes, the book shows an increase in the number, size and reputation has grown in recent years. Companies successfully implemented data warehouses, strategic, and often wonder how they ever survived without it in the past. Already in 1995, Fortune 500 Gartner Research, IT managers, all organizations planning to implement the data warehouse in 1998 revealed that 90 per cent. Almost all of the top-100 in the U.S. in 1998, Using a data warehouse based on the profitability of the asset. In about 30 percent of companies in the technology, create a plan to protect, promote and implement a data warehouse continues to support a permanent unit or semi-permanent. If you are a computer professional who was responsible for planning, managing, designing, organizing the data warehouse implementation, support or maintenance, then this book is for you. In the first part of enterprise architecture and data warehousing concepts, is presented as a reason for writing this book. The project proponent, the IOC and the Project Manager: This is the second part of the book in any initiative of the data warehouse focuses on three key people. This section is divided into the major concerns of these people. 

The third section presents a data warehouse and store designs and implementation for developers, for the first time will be extremely helpful in providing advice to both the experience. The fourth section of this book focuses on the management of data storage technology. If you can use to create components of data warehouse technology lends itself to a series of vertigineux.Ce book also includes a CD-ROM contains two software products. For any last minute changes and updates, see the readme.txt on the CD-ROM. Software included in the following: R / olapXL - R / olapXL dimensions users the data warehouse to any workstation or to obtain data directly from Microsoft Excel spreadsheet is a powerful query and reporting tool that allows data to an ODBC-compliant database.

When data from Microsoft Excel, analyze, report, or one of the standard features of Excel charts are free to use the data. Designer Depot - Warehouse Designer dimensional data warehouse and data mart is a tool to generate DDL to create tables. Specify the data structure required by a graphical interface for end users. Tool, primary keys, foreign keys, indexes, constraints, and creates states to create structures table.Avant to use software provided, including whether to accept your disk, is a license agreement. The guides are included in both products are added to the book. The latest information on these products URL intranetsys Intranet Business Systems, Inc. is available on the site.

About the Author

Mark Humphries Intranet Business Systems, Inc., the Philippines, President / CEO. O, in Europe, North America and Asia-wide management and consulting with 13 years experience, and to store the two utilities in the United States was the major projects.

Thursday, 1 March 2012

The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset

Valuable best practices and expert advice from world-renowned data storage

In this book, from Kimball the best group of leading experts in data storage applications, SQL Server called SQL Server 2008 R2, the next "liberation Business Intelligence," to use. This new edition, writers, SQL Server 2008 R2, Excel and SharePoint users with powerful new tools for the collection and increases the power of BI tools to build a warehouse to show you how to use SQL Server to explain how the data provided to meet the needs of business intelligence that are common to most organizations. R2, SQL Server 2008 data warehouse and BI tools that are part of a complete suite of Microsoft Office, including the design of the authors, development, installation and maintenance, including the project cycle, full life, walk.
  • Equipment with over 50 percent of the new and the new Office 2010 version of SQL Server 2008 R2 and revised to cover the rich feature set
  • Excel and SharePoint, Master Data Services and SQL Server to include new content focusing on Analysis Services, Integration and Information Power Pivot examines the capabilities of the updated
  • Actions to implement the techniques described in the book clearly show how the detailed case studies
  • The accompanying code examples and case studies are used throughout the entire site containing the database

Microsoft Data Warehouse Toolkit, Second Edition, when and how to perform basic tasks of data storage such as Analysis Services and Integration Services provides information on the use of BI tools.
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To create a data warehouse Learn to use SQL Server 2008 R2

Data warehousing and business intelligence industry that the most effective leaders Kimball Group DW / BI systems design, development and management industry has developed standards of service as pioneer techniques. SQL Server 2008 R2: With this new version of his bestseller, experts in the use of veterans group Kimball catch up with the version of SQL Server Business Intelligence. Data warehouse and BI tools that are part of SQL Server 2008 R2, covering the full set, the authors design, development, implementation and maintenance, including monitoring the lifecycle of the project.

A major update to the previous edition and the new features and content and master data services such as eyes Power Pivot in addition to the functionality of SQL Server 2008 R2, this new version includes detailed examples showing how to apply best available techniques described in the book. The authors, trial, and a system of DW / BI with Microsoft tools can benefit their own challenges and successes gain share of the error of their own experiences. DW / BI lifecycle of the system to build Kimball discover how to use incentives to focus on four main principles: focus on your business, an information infrastructure, buildings and all meaningful increments delivered solution. With these principles in the hands of a successful DW / BI system supports the common needs of business intelligence to build the institutions will be well on your way.

DW / BI Data Warehouse Toolkit, Microsoft, Second Edition shows you how your role in the process of working on a project, no matter what:
  • Concentrate your efforts on best opportunities
  • Choose 2008 R2 and other Microsoft products, you can install and configure the components of SQL Server available
  • A three-dimensional model to design and create a relational database structures and database Analysis Services
  • Establish databases Integration Services ETL system to fill a DW / BI
  • BI applications to deliver value to your organization and create data mining models
  • Manage; maintain the system long-term success, and DW / BI growth
  • Microsoft SQL Server 2008 R2 and all business intelligence tools

DW 2.0: The Architecture for the Next Generation of Data Warehousing (Morgan Kaufman Series in Data Management Systems)

Data warehousing has been around for 20 years and became part of the IT infrastructure. Non-data - data storage for the original information was developed in response to business needs and integrated data, provides granular institutions, and history.

Development paths and stores data in large part to different types of providers of software and hardware, there are many types. But in numerous speeches, articles, and reached its 65,000 professional b-eye Network-months notice, as defined by the author DW 2.0, well identified and defined next generation data storage.

The book takes this theme and the future of data storage and the level of the architecture and the level of technology, says it is now technologically possible. The book was a top-down perspective: looking at the overall architecture and then dive into the issues underlying the components. Building a data warehouse for people who use or see this advantage and can determine what the future: what to buy the new technology, data warehouse, how to plan extensions to warrant expenditure and how you can save the current system - in practice.

This data warehouse professional everything and gives full experience of what it takes to implement a new generation DW 2.0.
  • The first book is a new generation of data warehouse architecture, DW 2.0.
  • "Father of the data warehouse", Bill INMO, a newspaper columnist and editor of Channel INMO the bill written by the Business Intelligence Network.
  • A technology that provides the next generation of vehicles and the overall implementation long delay coverage DW: metadata, temporal data, unstructured data ETL, quality control data.