DW 2 0 The Architecture for the Next Generation of Data Warehousing

DW 2 0  The Architecture for the Next Generation of Data Warehousing
Author: W.H. Inmon,Derek Strauss,Genia Neushloss
Publsiher: Elsevier
Total Pages: 400
Release: 2010-07-28
ISBN 10: 9780080558332
ISBN 13: 008055833X
Language: EN, FR, DE, ES & NL

DW 2 0 The Architecture for the Next Generation of Data Warehousing Book Review:

DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals. * First book on the new generation of data warehouse architecture, DW 2.0. * Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network. * Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.

Building the Unstructured Data Warehouse

Building the Unstructured Data Warehouse
Author: Bill Inmon,Krish Krishnan
Publsiher: Technics Publications
Total Pages: 216
Release: 2011-01-01
ISBN 10: 1634620348
ISBN 13: 9781634620345
Language: EN, FR, DE, ES & NL

Building the Unstructured Data Warehouse Book Review:

Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now! Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyze text. Master these ten objectives: • Build an unstructured data warehouse using the 11-step approach • Integrate text and describe it in terms of homogeneity, relevance, medium, volume, and structure • Overcome challenges including blather, the Tower of Babel, and lack of natural relationships • Avoid the Data Junkyard and combat the “Spider’s Web” • Reuse techniques perfected in the traditional data warehouse and Data Warehouse 2.0,including iterative development • Apply essential techniques for textual Extract, Transform, and Load (ETL) such as phrase recognition, stop word filtering, and synonym replacement • Design the Document Inventory system and link unstructured text to structured data • Leverage indexes for efficient text analysis and taxonomies for useful external categorization • Manage large volumes of data using advanced techniques such as backward pointers • Evaluate technology choices suitable for unstructured data processing, such as data warehouse appliances The following outline briefly describes each chapter’s content: • Chapter 1 defines unstructured data and explains why text is the main focus of this book. The sources for text, including documents, email, and spreadsheets, are described in terms of factors such as homogeneity, relevance, and structure. • Chapter 2 addresses the challenges one faces when managing unstructured data. These challenges include volume, blather, the Tower of Babel, spelling, and lack of natural relationships. Learn how to avoid a data junkyard, which occurs when unstructured data is not properly integrated into the data warehouse. This chapter emphasizes the importance of storing integrated unstructured data in a relational structure. We are cautioned on both the commonality and dangers associated with text based on paper. • Chapter 3 begins with a timeline of applications, highlighting their evolution over the decades. Eventually, powerful yet siloed applications created a “spider’s web” environment. This chapter describes how data warehouses solved many problems, including the creation of corporate data, the ability to get out of the maintenance backlog conundrum, and greater data integrity and data accessibility. There were problems, however, with the data warehouse that were addressed in Data Warehouse 2.0 (DW 2.0), such as the inevitable data lifecycle. This chapter discusses the DW 2.0 architecture, which leads into the role of the unstructured data warehouse. The unstructured data warehouse is defined and benefits are given. There are several features of the conventional data warehouse that can be leveraged for the unstructured data warehouse, including ETL processing, textual integration, and iterative development. • Chapter 4 focuses on the heart of the unstructured data warehouse: Textual Extract, Transform, and Load (ETL). This chapter has separate sections on extracting text, transforming text, and loading text. The chapter emphasizes the issues around source data. There are a wide variety of sources, and each of the sources has its own set of considerations. Extracting pointers are provided, such as reading documents only once and recognizing common and different file types. Transforming text requires addressing many considerations discussed in this chapter, including phrase recognition, stop word filtering, and synonym replacement. Loading text is the final step. There are important points to understand here, too, that are explained in this chapter, such as the importance of the thematic approach and knowing how to handle large volumes of data. Two ETL examples are provided, one on email and one on spreadsheets. • Chapter 5 describes the 11 steps required to develop the unstructured data warehouse. The methodology explained in this chapter is a combination of both traditional system development lifecycle and spiral approaches. • Chapter 6 describes how to inventory documents for maximum analysis value, as well as link the unstructured text to structured data for even greater value. The Document Inventory is discussed, which is similar to a library card catalog used for organizing corporate documents. This chapter explores ways of linking unstructured text to structured data. The emphasis is on taking unstructured data and reducing it into a form of data that is structured. Related concepts to linking, such as probabilistic linkages and dynamic linkages, are discussed. • Chapter 7 goes through each of the different types of indexes necessary to make text analysis efficient. Indexes range from simple indexes, which are fast to create and are good if the analyst really knows what needs to be analyzed before the indexing process begins, to complex combined indexes, which can be made up of any and all of the other kinds of indexes. • Chapter 8 explains taxonomies and how they can be used within the unstructured data warehouse. Both simple and complicated taxonomies are discussed. Techniques to help the reader leverage taxonomies, including using preferred taxonomies, external categorization, and cluster analysis are described. Real world problems are raised, including the possibilities of encountering hierarchies, multiple types, and recursion. The chapter ends with a discussion comparing a taxonomy with a data model. • Chapter 9 explains ways of coping with large amounts of unstructured data. Techniques such as keeping the unstructured data at its source and using backward pointers are discussed. The chapter explains why iterative development is so important. Ways of reducing the amount of data are presented, including screening and removing extraneous data, as well as parallelizing the workload. • Chapter 10 focuses on challenges and some technology choices that are suitable for unstructured data processing. The traditional data warehouse processing technology is reviewed. In addition, the data warehouse appliance is discussed. • Chapters 11, 12, and 13 put all of the previously discussed techniques and approaches in context through three case studies: the Ablatz Medical Group, the Eastern Hills Oil Company, and the Amber Oil Company.

Data Warehouse 2 0

Data Warehouse 2 0
Author: Bill Inmon
Publsiher: Unknown
Total Pages: 329
Release: 2017
ISBN 10: 9781634621809
ISBN 13: 1634621808
Language: EN, FR, DE, ES & NL

Data Warehouse 2 0 Book Review:

Over time the architecture of data warehouse has evolved towards an architecture known as Data Warehouse (DW) 2.0. In DW 2.0 there have been several advances including the inclusion of unstructured data into the data warehouse, the need for a formal and enterprise wide inclusion of corporate metadata. This course includes an overview to DW 2.0 including: An introduction to DW 2.0. We explore the traditional definition of a data warehouse as subject oriented, integrated, non-volatile, and time variant. We also explore the demands of unstructured data on the data warehouse and what makes the DW 2.0 architecture both unique and powerful. The DW 2.0 Lifecycle. Data can start off as interactive which is very current (up to the second), then integrated (current, hours to 5 years), then near line (less than current to over five years), and finally archival (older than five years). Archival within DW 2.0. We cover archival, which is when the primary usage of the data is done (that is, probability of access is low) yet the data still needs to be maintained by the organization. Data stored in archive can originate from the big data arena and contain both structured and unstructured data. Metadata is physically and tightly coupled with the data that resides in the archival sector. Data may be periodically retrieved from archival on a project basis for deeper analysis. DW 2.0 Components. We explore each component of the data warehouse architecture including applications, procedures, programs, databases, and transactions. The structures within DW 2.0 are organized by subject area such as Customer and Product. We will also discuss the Operational Data Store (ODS). DW 2.0 Database Design. The DW 2.0 contains different types of data. Therefore, there are different ways to do database design, which are covered within this video segment. We discuss the Interactive Sector, which demands a two to three second response time and 24 x 7 availability. The Integrated Sector of the architecture contains lots of data with this data being used for many different purposes. There is a heavy amount of indexing within the integrated sector. We also explore data mining within the integrated sector. With data mining the requirements are not provided or known, and usually the design resembles a spreadsheet in the form of flat records. We also discuss exploration processing and the role of historical data. DW 2.0 Integrated Design. We cover the integrated sector of DW 2.0 in d...

Building a Scalable Data Warehouse with Data Vault 2 0

Building a Scalable Data Warehouse with Data Vault 2 0
Author: Dan Linstedt,Michael Olschimke
Publsiher: Morgan Kaufmann
Total Pages: 684
Release: 2015-09-15
ISBN 10: 0128026480
ISBN 13: 9780128026489
Language: EN, FR, DE, ES & NL

Building a Scalable Data Warehouse with Data Vault 2 0 Book Review:

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in the context of the Data Vault architecture. Provides a complete introduction to data warehousing, applications, and the business context so readers can get-up and running fast Explains theoretical concepts and provides hands-on instruction on how to build and implement a data warehouse Demystifies data vault modeling with beginning, intermediate, and advanced techniques Discusses the advantages of the data vault approach over other techniques, also including the latest updates to Data Vault 2.0 and multiple improvements to Data Vault 1.0

DW 2 0

DW 2 0
Author: William H. Inmon,Derek Strauss,Genia Neushloss
Publsiher: Unknown
Total Pages: 329
Release: 2008
ISBN 10:
ISBN 13: OCLC:548651192
Language: EN, FR, DE, ES & NL

DW 2 0 Book Review:

Australian Journal of Soil Research

Australian Journal of Soil Research
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1993
ISBN 10:
ISBN 13: CHI:40319533
Language: EN, FR, DE, ES & NL

Australian Journal of Soil Research Book Review:

Experimental Investigation of Transient Aerodynamics in Vehicle Interactions

Experimental Investigation of Transient Aerodynamics in Vehicle Interactions
Author: Amy Langhua Chen
Publsiher: Unknown
Total Pages: 228
Release: 1997
ISBN 10:
ISBN 13: UCAL:C3407504
Language: EN, FR, DE, ES & NL

Experimental Investigation of Transient Aerodynamics in Vehicle Interactions Book Review:

Domestic Savings in India

Domestic Savings in India
Author: Uma Datta Roy Choudhury,Amaresh Bagchi
Publsiher: Unknown
Total Pages: 294
Release: 1990
ISBN 10:
ISBN 13: UCAL:B3814764
Language: EN, FR, DE, ES & NL

Domestic Savings in India Book Review:

The Quarterly Journal of Pure and Applied Mathematics

The Quarterly Journal of Pure and Applied Mathematics
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1881
ISBN 10:
ISBN 13: SRLF:A0003131794
Language: EN, FR, DE, ES & NL

The Quarterly Journal of Pure and Applied Mathematics Book Review:

Factors Affecting the Germination and Hyphal Elongation of Glomus Fasciculatus on Agar Medium

Factors Affecting the Germination and Hyphal Elongation of Glomus Fasciculatus on Agar Medium
Author: Karol Sue Elias
Publsiher: Unknown
Total Pages: 222
Release: 1984
ISBN 10:
ISBN 13: MSU:31293030561058
Language: EN, FR, DE, ES & NL

Factors Affecting the Germination and Hyphal Elongation of Glomus Fasciculatus on Agar Medium Book Review:

Data Warehouse 2 0

Data Warehouse 2 0
Author: William H. Inmon
Publsiher: Unknown
Total Pages: 329
Release: 2017
ISBN 10:
ISBN 13: OCLC:1137156702
Language: EN, FR, DE, ES & NL

Data Warehouse 2 0 Book Review:

"Over time the architecture of data warehouse has evolved towards an architecture known as Data Warehouse (DW) 2.0. In DW 2.0 there have been several advances including the inclusion of unstructured data into the data warehouse, the need for a formal and enterprise wide inclusion of corporate metadata. An introduction to DW 2.0. We explore the traditional definition of a data warehouse as subject oriented, integrated, non-volatile, and time variant. We also explore the demands of unstructured data on the data warehouse and what makes the DW 2.0 architecture both unique and powerful. The DW 2.0 Lifecycle. Data can start off as interactive which is very current (up to the second), then integrated (current, hours to 5 years), then near line (less than current to over five years), and finally archival (older than five years). Archival within DW 2.0. We cover archival, which is when the primary usage of the data is done (that is, probability of access is low) yet the data still needs to be maintained by the organization. Data stored in archive can originate from the big data arena and contain both structured and unstructured data. Metadata is physically and tightly coupled with the data that resides in the archival sector. Data may be periodically retrieved from archival on a project basis for deeper analysis."--Resource description page.

Copper Hazards to Fish Wildlife and Invertebrates

Copper Hazards to Fish  Wildlife  and Invertebrates
Author: Ronald Eisler
Publsiher: Diane Publishing Company
Total Pages: 98
Release: 1998
ISBN 10:
ISBN 13: IND:30000050449168
Language: EN, FR, DE, ES & NL

Copper Hazards to Fish Wildlife and Invertebrates Book Review:

Chemical, concentrations, lethal, carcinogenicity, muagenicity.

Transactions of the ASAE

Transactions of the ASAE
Author: American Society of Agricultural Engineers
Publsiher: Unknown
Total Pages: 329
Release: 1991
ISBN 10:
ISBN 13: CHI:38118479
Language: EN, FR, DE, ES & NL

Transactions of the ASAE Book Review:

Graphics Programming in Turbo C 2 0

Graphics Programming in Turbo C 2 0
Author: Ben Ezzell
Publsiher: Addison-Wesley
Total Pages: 568
Release: 1989
ISBN 10:
ISBN 13: UCSC:32106008789866
Language: EN, FR, DE, ES & NL

Graphics Programming in Turbo C 2 0 Book Review:

This guide shows users how to add graphics in Turbo C and includes examples of working programs for all functions and full coverage of release 2.0

Australian Journal of Experimental Agriculture

Australian Journal of Experimental Agriculture
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1990
ISBN 10:
ISBN 13: CORNELL:31924050823800
Language: EN, FR, DE, ES & NL

Australian Journal of Experimental Agriculture Book Review:

Crop Science

Crop Science
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1987
ISBN 10:
ISBN 13: OSU:32435069456077
Language: EN, FR, DE, ES & NL

Crop Science Book Review:

Low Energy Electron Diffraction Intensity energy Spectra Computations for Clean Nickel Surfaces

Low Energy Electron Diffraction Intensity energy Spectra Computations for Clean Nickel Surfaces
Author: Paul Poo-Kam Lee
Publsiher: Unknown
Total Pages: 180
Release: 1974
ISBN 10:
ISBN 13: CORNELL:31924003946104
Language: EN, FR, DE, ES & NL

Low Energy Electron Diffraction Intensity energy Spectra Computations for Clean Nickel Surfaces Book Review:

Collected Studies of Skin Diseases

Collected Studies of Skin Diseases
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1921
ISBN 10:
ISBN 13: CHI:103271368
Language: EN, FR, DE, ES & NL

Collected Studies of Skin Diseases Book Review:

Proceedings of the New Zealand Plant Protection Conference

Proceedings of the     New Zealand Plant Protection Conference
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 1993
ISBN 10:
ISBN 13: UCAL:B4364678
Language: EN, FR, DE, ES & NL

Proceedings of the New Zealand Plant Protection Conference Book Review:

Identification of Genetic Diversity in the Genus Musa

Identification of Genetic Diversity in the Genus Musa
Author: R. L. Jarret
Publsiher: Unknown
Total Pages: 218
Release: 1990
ISBN 10:
ISBN 13: CORNELL:31924062763051
Language: EN, FR, DE, ES & NL

Identification of Genetic Diversity in the Genus Musa Book Review: