The Integrated Data Hub, The Next Generation Data Warehouse: The Smartest Way To Deal With The Data Integration Challenges

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9781481061407: The Integrated Data Hub, The Next Generation Data Warehouse: The Smartest Way To Deal With The Data Integration Challenges

The Integrated Data Hub, the Next Generation Data Warehouse Please note that I am not very happy with the Kindle version... ---------------------------------------------------------- Dario Mangano obviously spent a great deal of time and effort on his book. It is quite lengthy and very detailed. It is presented in a very organized fashion. He began by including a historic background and then explaining the Integrated Data Hub concept. He also created an actual plan for others to follow by explaining and detailing his ideas. It's amazing! He is extremely thorough, writing chapter after chapter, dealing with various components that the reader needs to understand. In the forward by Hans Hultgren, Hans writes, "This book...

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur :

Please note that I am not very happy with the Kindle version... ---------------------------------------------------------- Dario Mangano obviously spent a great deal of time and effort on his book. It is quite lengthy and very detailed. It is presented in a very organized fashion. He began by including a historic background and then explaining the Integrated Data Hub concept. He also created an actual plan for others to follow by explaining and detailing his ideas. It’s amazing! He is extremely thorough, writing chapter after chapter, dealing with various components that the reader needs to understand. In the forward by Hans Hultgren, Hans writes, “This book is a guide to a successful data warehousing business intelligence (DWBI) program.” I believe that this could be a really useful book to many people, an actual “how to guide” for them to utilize in implementing their own program. I was so impressed by his attention to visual affects in his book. Many people are visual learners. Mangano draws them into reading and using his work by adding pictures, diagrams, highlighting something by boxing it in visually, etc. For example, when sharing a definition right in chapter one he boxed it in. He wrote “Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. In management circles, people frequently refer to data integration as "Enterprise Information Integration" (EII). (From Wikipedia, the free encyclopedia) This is long but very important and he found a way for it to stand out. Using these sorts of strategies and implementations in his book really cemented the fact that not only does he know his material, he took the time and effort to present it in a fashion that will be easily read by many. His diagrams and charts are so spot on and create a handbook that will be able to be used by many! In Chapter 9 Dario writes, “In a traditional EDW reference architecture, you should find something called Operational Data Store (ODS) exactly at the place where I have put my HiST layer. But be careful, the HiST layer is not an ODS! The HiST layer is not a good place to do Operational Reporting. The data are not integrated and the real historization is not yet performed.” The way he writes is very directive and he explains concepts in a way that literally walks people through steps. By using his book, it is as though he is there as a consultant. I love this style of writing and it is rare to find it. He is well read on his subject and offers both critiques and accolades for others who have written in this area. For example he writes, “Despite the slight criticisms that I have done on Ralph Kimball's work in a previous chapter, I still believe that star schemas are best suited to meet queries destined for Analytical Reporting.” The Bibliography is very thorough and well done. By asking Hans Hulgren to do a forward was an excellent plan since Hulgren has much space in the Bibliography and is obviously a large part of Mangano’s learning. The organizational style is superb and by detailing each diagram used in the Table of Figures this will be a great way for users of the book to look up a figure that they wish to refer back to. Chapter headings, boxed in information as I alluded to before all create a useful, easy to read document that should become a well-known book in this field. Congratulations on a job well done! Jan Hemmington, M.S., Ph.D.

Biographie de l'auteur :



Dario Mangano is an executive with over 23 years of global IT management and consulting experience.

In his current role as Head of Knowledge Management of an international retail group, he manages the Business Intelligence, Enterprise Content Management and Global Data Services departments and drives the transformation of structured data, as well as unstructured and big data into information and knowledge. The motto of his department is indeed: “From Data, To Information, To Knowledge, To Actions!»

Dario is also a renowned keynote speaker at Business Intelligence international events.

In addition, he is a certified Data Vault Modeler and the founder of the Swiss Network of Business Intelligence Professionals.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Description du livre Createspace Independent Publishing Platform, United States, 2013. Paperback. État : New. 226 x 152 mm. Language: English . Brand New Book ***** Print on Demand *****. Please note that I am not very happy with the Kindle version. ---------------------------------------------------------- Dario Mangano obviously spent a great deal of time and effort on his book. It is quite lengthy and very detailed. It is presented in a very organized fashion. He began by including a historic background and then explaining the Integrated Data Hub concept. He also created an actual plan for others to follow by explaining and detailing his ideas. It s amazing! He is extremely thorough, writing chapter after chapter, dealing with various components that the reader needs to understand. In the forward by Hans Hultgren, Hans writes, This book is a guide to a successful data warehousing business intelligence (DWBI) program. I believe that this could be a really useful book to many people, an actual how to guide for them to utilize in implementing their own program. I was so impressed by his attention to visual affects in his book. Many people are visual learners. Mangano draws them into reading and using his work by adding pictures, diagrams, highlighting something by boxing it in visually, etc. For example, when sharing a definition right in chapter one he boxed it in. He wrote Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. In management circles, people frequently refer to data integration as Enterprise Information Integration (EII). (From Wikipedia, the free encyclopedia) This is long but very important and he found a way for it to stand out. Using these sorts of strategies and implementations in his book really cemented the fact that not only does he know his material, he took the time and effort to present it in a fashion that will be easily read by many. His diagrams and charts are so spot on and create a handbook that will be able to be used by many! In Chapter 9 Dario writes, In a traditional EDW reference architecture, you should find something called Operational Data Store (ODS) exactly at the place where I have put my HiST layer. But be careful, the HiST layer is not an ODS! The HiST layer is not a good place to do Operational Reporting. The data are not integrated and the real historization is not yet performed. The way he writes is very directive and he explains concepts in a way that literally walks people through steps. By using his book, it is as though he is there as a consultant. I love this style of writing and it is rare to find it. He is well read on his subject and offers both critiques and accolades for others who have written in this area. For example he writes, Despite the slight criticisms that I have done on Ralph Kimball s work in a previous chapter, I still believe that star schemas are best suited to meet queries destined for Analytical Reporting. The Bibliography is very thorough and well done. By asking Hans Hulgren to do a forward was an excellent plan since Hulgren has much space in the Bibliography and is obviously a large part of Mangano s learning. The organizational style is superb and by detailing each diagram used in the Table of Figures this will be a great way for users of the book to look up a figure that they wish to refer back to. Chapter headings, boxed in information as I alluded to before all create a useful, easy to read document that should become a well-known book in this field. Congratulations on a job well done! Jan Hemmington, M.S., Ph.D. N° de réf. du libraire APC9781481061407

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Dario Mangano
Edité par Createspace Independent Publishing Platform, United States (2013)
ISBN 10 : 1481061402 ISBN 13 : 9781481061407
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Description du livre Createspace Independent Publishing Platform, United States, 2013. Paperback. État : New. 226 x 152 mm. Language: English . Brand New Book ***** Print on Demand *****.Please note that I am not very happy with the Kindle version. ---------------------------------------------------------- Dario Mangano obviously spent a great deal of time and effort on his book. It is quite lengthy and very detailed. It is presented in a very organized fashion. He began by including a historic background and then explaining the Integrated Data Hub concept. He also created an actual plan for others to follow by explaining and detailing his ideas. It s amazing! He is extremely thorough, writing chapter after chapter, dealing with various components that the reader needs to understand. In the forward by Hans Hultgren, Hans writes, This book is a guide to a successful data warehousing business intelligence (DWBI) program. I believe that this could be a really useful book to many people, an actual how to guide for them to utilize in implementing their own program. I was so impressed by his attention to visual affects in his book. Many people are visual learners. Mangano draws them into reading and using his work by adding pictures, diagrams, highlighting something by boxing it in visually, etc. For example, when sharing a definition right in chapter one he boxed it in. He wrote Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. In management circles, people frequently refer to data integration as Enterprise Information Integration (EII). (From Wikipedia, the free encyclopedia) This is long but very important and he found a way for it to stand out. Using these sorts of strategies and implementations in his book really cemented the fact that not only does he know his material, he took the time and effort to present it in a fashion that will be easily read by many. His diagrams and charts are so spot on and create a handbook that will be able to be used by many! In Chapter 9 Dario writes, In a traditional EDW reference architecture, you should find something called Operational Data Store (ODS) exactly at the place where I have put my HiST layer. But be careful, the HiST layer is not an ODS! The HiST layer is not a good place to do Operational Reporting. The data are not integrated and the real historization is not yet performed. The way he writes is very directive and he explains concepts in a way that literally walks people through steps. By using his book, it is as though he is there as a consultant. I love this style of writing and it is rare to find it. He is well read on his subject and offers both critiques and accolades for others who have written in this area. For example he writes, Despite the slight criticisms that I have done on Ralph Kimball s work in a previous chapter, I still believe that star schemas are best suited to meet queries destined for Analytical Reporting. The Bibliography is very thorough and well done. By asking Hans Hulgren to do a forward was an excellent plan since Hulgren has much space in the Bibliography and is obviously a large part of Mangano s learning. The organizational style is superb and by detailing each diagram used in the Table of Figures this will be a great way for users of the book to look up a figure that they wish to refer back to. Chapter headings, boxed in information as I alluded to before all create a useful, easy to read document that should become a well-known book in this field. Congratulations on a job well done! Jan Hemmington, M.S., Ph.D. N° de réf. du libraire APC9781481061407

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Description du livre Createspace. Paperback. État : New. This item is printed on demand. Paperback. 112 pages. Data Warehouse projects fail. As an industry we have been battling with this phenomenon for decades. Though we have been getting better over the years, as an industry we still have a long way to go. Fortunately some people have found ways to beat the odds. By thinking out of the box, formulating new ideas, and creating new innovative approaches these people have each somehow unlocked the secrets of successful DW programs. Within this group there are those who have fire tested their theories with real life deployments. They have proven the merits of their ideas with perhaps the only test that really matters actually deploying successful DW programs. Now this is a small group, a special club, and of the few members in this club, an even smaller group is willing and able to communicate and share their ideas. In this book, Integrated Data Hub, Dario Mangano shares with us his ideas including the solution he developed and the proven architecture that he has successfully deployed in several organizations. This book is a guide to a successful data warehousing business intelligence (DWBI) program. One of the success factors is recognizing that there is no success to be found in a data warehouse project. To leverage enterprise data we have to recognize two things; first that the data warehouse is not a project with a beginning and end but rather an ongoing program, and second that this program is not technically driven but actually business and information driven. The Integrated Data Hub is an organizational information framework that takes into account the dynamic characteristics of the data warehouse function. Business alignment, data integration and historization are ongoing dynamic functions that need to respond to changes in the business, changes in the sources, and changes in downstream requirements. The organizational need for enterprise-wide data is an increasingly important component of enterprise management. With this increasing importance comes also an increasing need for traceability and auditability. Dario explains how the role of the business intelligence department is to manage the transformation of integrated and trusted data into understandable information with real business meaning. Darios IDH leverages the concepts and principles of both Bill Inmons data warehouse and corporate information factory, and of Ralph Kimballs dimensional modeling and data marts. Insofar as the goals of the IDH require an optimized modeling paradigm, Dario has specified the use of the data vault modeling approach. Dario starts by sketching the historical background and then introduces the IDH concept. Keep reading as Dario weaves the IDH components together into an effective strategy and a cohesive blueprint for enterprise information management. From a modeling perspective this book takes us from 3NF and Star Schemas to Data Vault and Darios own Leaf Schemas. From an architectural perspective this book describes the component layers and their specific characteristics. This book is a great addition to the IP for the new age of data warehousing and information management. Data Warehouse programs using the IDH succeed. And perhaps that is the most compelling reason to read this book. This item ships from La Vergne,TN. Paperback. N° de réf. du libraire 9781481061407

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