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Building and Operating Data Hubs: Using a practical Framework as Toolset
By Georg Graner
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About this ebook
Building and Operating Data Hubs introduces a practical framework as Toolset. The book should help to get a clear picture of your Data Environment and the interlink between your Data Products, your Databases, Data Warehouses and all your structured and unstructured Data.
No matter if there are Data Science and Machine Learning Applications or just standard Reports coming out of your Data Environment, building and operating Data Hubs can be similar to building a house. You need a stable foundation, planning, versatile tools, a great team with specific skills, good building materials and a vision.
This Framework is developed for Managers, Teamleaders, Founders, Investors, Developers, Business Analysts, System Architects, Risk Analysts or people who have recently changed jobs in that field. It should help to reduce complexity to get a better understanding of your Data Cosmos and based on that to make better decisions.
No matter if there are Data Science and Machine Learning Applications or just standard Reports coming out of your Data Environment, building and operating Data Hubs can be similar to building a house. You need a stable foundation, planning, versatile tools, a great team with specific skills, good building materials and a vision.
This Framework is developed for Managers, Teamleaders, Founders, Investors, Developers, Business Analysts, System Architects, Risk Analysts or people who have recently changed jobs in that field. It should help to reduce complexity to get a better understanding of your Data Cosmos and based on that to make better decisions.
LanguageEnglish
PublisherGeorg Graner
Release dateNov 7, 2022
ISBN9791222028446
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Building and Operating Data Hubs - Georg Graner
Building and Operating Data Hubs
Building and Operating Data Hubs
Using a practical Framework as Toolset
Georg Graner
© 2022 Georg Graner
Table of Contents
Preface
Introduction
Why use a Framework?
Definition of a Data Hub
What do others say about Data Hubs - a List of Perspectives
I The Framework
Data Scope
Data Import Layer
Operations Layer
Presentation Layer
Data Hub Core
Data Product
II Operations
Monitoring:
Strategy
A Note on the Technical Setup
III User Journey
Persona and customer centric Approach
IV Framework Landscape
Building a Data Hub from the Scratch
V Risk Analysis
Critical Risks
A 2-step analysis of the risk profile of a Data Hub
Location of the identified risks
What to do in Case of Emergency
Using the Framework - an example
Appendix
Userful Links
Preface
The concept and the framework that are presented in this book evolved over the last few years after a professional journey of 15 years in IT and Data related positions within various industries from startups to large ngo organizations. The topic data and Data Hubs as well as data driven teams and businesses attracts more and more attention as we live in a reality of easily available information and data and their representation has become an integral part of our everyday life. Nowadays we mostly don’t have a problem with information and data availability, we have a problem of how to process relevant data (and reduce noise of Data) out of an overwhelming Data Cosmos on different levels of integration. The field has been growing rapidly for years and there are no indications that this will stop. Therefore it is crucial to build Data Hubs that are long term lasting and persistent as well as easily adaptable to new situations. The other point is
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