Data Mapping for Data Warehouse Design Book

Data Mapping for Data Warehouse Design


  • Author : Qamar Shahbaz
  • Publisher : Elsevier
  • Release Date : 2015-12-08
  • Genre: Computers
  • Pages : 180
  • ISBN 10 : 9780128053355

DOWNLOAD BOOK
Data Mapping for Data Warehouse Design Excerpt :

Data mapping in a data warehouse is the process of creating a link between two distinct data models’ (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. Covers all stages of data warehousing and the role of data mapping in each Includes a data mapping strategy and techniques that can be applied to many situations Based on the author’s years of real-world experience designing solutions

Conceptual Modeling   ER 2004 Book

Conceptual Modeling ER 2004


  • Author : Paolo Atzeni
  • Publisher : Springer Science & Business Media
  • Release Date : 2004-10-27
  • Genre: Computers
  • Pages : 889
  • ISBN 10 : 9783540237235

DOWNLOAD BOOK
Conceptual Modeling ER 2004 Excerpt :

This book constitutes the refereed proceedings of the 23rd International Conference on Conceptual Modeling, ER 2004, held in Shanghai, China, in November 2004. The 57 revised full papers presented together with three invited contributions and 8 demonstration and poster papers were carefully reviewed and selected from 295 submissions. The papers are organized in topical sections on conceptual modeling, datawarehouses, schema integration, data classification and mining, web-based information systems, query processing, web services, schema evolution, conceptual modeling applications, UML, XML modeling, and industrial presentations.

Learn Data Warehousing in 24 Hours Book

Learn Data Warehousing in 24 Hours


  • Author : Alex Nordeen
  • Publisher : Guru99
  • Release Date : 2020-09-15
  • Genre: Computers
  • Pages : 380
  • ISBN 10 : 978186723xxxx

DOWNLOAD BOOK
Learn Data Warehousing in 24 Hours Excerpt :

Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table Of Content Chapter 1: What Is Data Warehouse? 1. What is Data Warehouse? 2. Types of Data Warehouse 3. Who needs Data warehouse? 4. Why We Need Data Warehouse? 5. Data Warehouse Tools Chapter 2: Data Warehouse Architecture 1. Characteristics of Data warehouse 2. Data Warehouse Architectures 3. Datawarehouse Components 4. Query Tools Chapter 3: ETL Process 1. What is ETL? 2. Why do you need ETL? 3. ETL Process 4. ETL tools Chapter 4: ETL Vs ELT 1. What is ETL? 2. Difference between ETL vs. ELT Chapter 5: Data Modeling 1. What is Data Modelling? 2. Types of Data Models 3. Characteristics of a physical data model Chapter 6: OLAP 1. What is Online Analytical Processing? 2. Types of OLAP systems 3. Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) 1. What is MOLAP? 2. MOLAP Architecture 3. MOLAP Tools Chapter 8: OLAP Vs OLTP 1. What is the meaning of OLAP? 2. What is the meaning of OLTP? 3. Difference between OLTP and OLAP Chapter 9: Dimensional Modeling 1. What is Dimensional Model? 2. Elements of Dimensional Data Model 3. Attributes 4. Difference between Dimension table vs. Fact table 5. Steps of Dimensional Modelling 6. Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema 1. What is Multidimensional schemas? 2. What is a Star Schema? 3. What is a Snowflake Schema? 4. Di

Advanced Data Warehouse Design Book
Score: 3.5
From 2 Ratings

Advanced Data Warehouse Design


  • Author : Elzbieta Malinowski
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-01-22
  • Genre: Computers
  • Pages : 435
  • ISBN 10 : 9783540744054

DOWNLOAD BOOK
Advanced Data Warehouse Design Excerpt :

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Data Warehousing and Knowledge Discovery Book

Data Warehousing and Knowledge Discovery


  • Author : Alfredo Cuzzocrea
  • Publisher : Springer
  • Release Date : 2012-08-29
  • Genre: Computers
  • Pages : 454
  • ISBN 10 : 9783642325847

DOWNLOAD BOOK
Data Warehousing and Knowledge Discovery Excerpt :

This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on data warehouse design methodologies, ETL methodologies and tools, multidimensional data processing and management, data warehouse and OLAP extensions, data warehouse performance and optimization, data mining and knowledge discovery techniques, data mining and knowledge discovery applications, pattern mining, data stream mining, data warehouse confidentiality and security, and distributed paradigms and algorithms.

Data Warehousing and Mining  Concepts  Methodologies  Tools  and Applications Book

Data Warehousing and Mining Concepts Methodologies Tools and Applications


  • Author : Wang, John
  • Publisher : IGI Global
  • Release Date : 2008-05-31
  • Genre: Technology & Engineering
  • Pages : 4092
  • ISBN 10 : 9781599049526

DOWNLOAD BOOK
Data Warehousing and Mining Concepts Methodologies Tools and Applications Excerpt :

In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

New Trends in Data Warehousing and Data Analysis Book

New Trends in Data Warehousing and Data Analysis


  • Author : Stanislaw Kozielski
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-10-23
  • Genre: Business & Economics
  • Pages : 364
  • ISBN 10 : 9780387874319

DOWNLOAD BOOK
New Trends in Data Warehousing and Data Analysis Excerpt :

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

Building and Maintaining a Data Warehouse Book

Building and Maintaining a Data Warehouse


  • Author : Fon Silvers
  • Publisher : CRC Press
  • Release Date : 2008-03-18
  • Genre: Computers
  • Pages : 328
  • ISBN 10 : 9781420064636

DOWNLOAD BOOK
Building and Maintaining a Data Warehouse Excerpt :

As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoreti

Data Warehousing and Knowledge Discovery Book

Data Warehousing and Knowledge Discovery


  • Author : A Min Tjoa
  • Publisher : Springer
  • Release Date : 2006-09-21
  • Genre: Computers
  • Pages : 582
  • ISBN 10 : 9783540377375

DOWNLOAD BOOK
Data Warehousing and Knowledge Discovery Excerpt :

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in conjunction with DEXA 2006. The book presents 53 revised full papers, organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

Mastering Data Warehouse Design Book

Mastering Data Warehouse Design


  • Author : Claudia Imhoff
  • Publisher : John Wiley & Sons
  • Release Date : 2003-08-19
  • Genre: Computers
  • Pages : 456
  • ISBN 10 : 9780471480921

DOWNLOAD BOOK
Mastering Data Warehouse Design Excerpt :

A cutting-edge response to Ralph Kimball's challenge to thedata warehouse community that answers some tough questions aboutthe effectiveness of the relational approach to datawarehousing Written by one of the best-known exponents of the Bill Inmonapproach to data warehousing Addresses head-on the tough issues raised by Kimball andexplains how to choose the best modeling technique for solvingcommon data warehouse design problems Weighs the pros and cons of relational vs. dimensional modelingtechniques Focuses on tough modeling problems, including creating andmaintaining keys and modeling calendars, hierarchies, transactions,and data quality

Emerging Perspectives in Big Data Warehousing Book

Emerging Perspectives in Big Data Warehousing


  • Author : Taniar, David
  • Publisher : IGI Global
  • Release Date : 2019-06-28
  • Genre: Computers
  • Pages : 348
  • ISBN 10 : 9781522555179

DOWNLOAD BOOK
Emerging Perspectives in Big Data Warehousing Excerpt :

The concept of a big data warehouse appeared in order to store moving data objects and temporal data information. Moving objects are geometries that change their position and shape continuously over time. In order to support spatio-temporal data, a data model and associated query language is needed for supporting moving objects. Emerging Perspectives in Big Data Warehousing is an essential research publication that explores current innovative activities focusing on the integration between data warehousing and data mining with an emphasis on the applicability to real-world problems. Featuring a wide range of topics such as index structures, ontology, and user behavior, this book is ideally designed for IT consultants, researchers, professionals, computer scientists, academicians, and managers.

Encyclopedia of Data Warehousing and Mining  Second Edition Book

Encyclopedia of Data Warehousing and Mining Second Edition


  • Author : Wang, John
  • Publisher : IGI Global
  • Release Date : 2008-08-31
  • Genre: Computers
  • Pages : 2542
  • ISBN 10 : 9781605660110

DOWNLOAD BOOK
Encyclopedia of Data Warehousing and Mining Second Edition Excerpt :

There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Contemporary Issues in Database Design and Information Systems Development Book

Contemporary Issues in Database Design and Information Systems Development


  • Author : Siau, Keng
  • Publisher : IGI Global
  • Release Date : 2007-04-30
  • Genre: Computers
  • Pages : 342
  • ISBN 10 : 9781599042916

DOWNLOAD BOOK
Contemporary Issues in Database Design and Information Systems Development Excerpt :

"This book presents the latest research ideas and topics on databases and software development. It provides a representation of top notch research in all areas of database and information systems development"--Provided by publisher.

Agile Data Warehouse Design Book

Agile Data Warehouse Design


  • Author : Lawrence Corr
  • Publisher : DecisionOne Consulting
  • Release Date : 2011-04-16
  • Genre: Business & Economics
  • Pages : 330
  • ISBN 10 : 9780956817204

DOWNLOAD BOOK
Agile Data Warehouse Design Excerpt :

Agile Data Warehouse Design is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. This book describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions. Within this book, you will learn: ✲ Agile dimensional modeling using Business Event Analysis & Modeling (BEAM✲) ✲ Modelstorming: data modeling that is quicker, more inclusive, more productive, and frankly more fun! ✲ Telling dimensional data stories using the 7Ws (who, what, when, where, how many, why and how) ✲ Modeling by example not abstraction; using data story themes, not crow's feet, to describe detail ✲ Storyboarding the data warehouse to discover conformed dimensions and plan iterative development ✲ Visual modeling: sketching timelines, charts and grids to model complex process measurement - simply ✲ Agile design documentation: enhancing star schemas with BEAM✲ dimensional shorthand notation ✲ Solving difficult DW/BI performance and usability problems with proven dimensional design patterns Lawrence Corr is a data warehouse designer and educator. As Principal of DecisionOne Consulting, he helps clients to review and simplify their data warehouse designs, and advises vendors on visu

Agile Data Warehousing for the Enterprise Book

Agile Data Warehousing for the Enterprise


  • Author : Ralph Hughes
  • Publisher : Newnes
  • Release Date : 2015-09-19
  • Genre: Computers
  • Pages : 562
  • ISBN 10 : 9780123965189

DOWNLOAD BOOK
Agile Data Warehousing for the Enterprise Excerpt :

Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. Learn how to quickly define scope and architecture before programming starts Includes techniques of process and data engineering that enable iterative and incremental delivery Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges Use the provided 120-day road map to establish a robust, agile data warehousing program