Claus Michael Sattler
Telephone: 0049 (174) 6031377
Data analytics for managers
A practice-oriented comparison of data warehouse, data lake, data virtualization, enterprise data fabric and smart data fabric in connection with artificial intelligence (AI) and their benefits
Release Date
July 31, 2023
Blurb
“Basic knowledge of data warehouse, data lake, data virtualization, enterprise data fabric and smart data fabric is of great importance for managers because these concepts and technologies have a direct impact on the effective use of data and the strategic direction of an organization. “
says Claus Michael Sattler, author of this book. In this book, he describes the different technologies in such clear German that every reader can understand them well and clearly even without technical knowledge. Which of the following five data architectures should be chosen for the company depends on the use case. The cost of modifying a system once implemented can be many times higher than the cost of implementation. Therefore, choosing the right data architecture is of particular importance for the company, the manager and the company.
Data Warehouse
A basic understanding of data warehouse technology enables entrepreneurs and managers to create a central data infrastructure that enables them to collect, integrate and analyze data from different sources. This promotes a consistent and comprehensive view of business data, which in turn enables better decisions and data-driven strategies.
Data Lake
Understanding the technology of the data lake also plays a crucial role for the entrepreneur and manager. The data lake provides a flexible and scalable platform for storing large amounts of raw data. Businesses can leverage the data lake to build a rich data foundation that serves as the foundation for future analytics, machine learning, and advanced data processing.
Data Virtualization
Data virtualization is of great importance when data from different sources must be accessible without having to be physically merged into a central data repository. This makes it easier for entrepreneurs and managers to access more up-to-date information and integrate data into various systems and applications.
Enterprise Data Fabric
The understanding of an enterprise data fabric will dominate the coming years as much as the understanding of the data warehouse has since the 1990s. An enterprise data fabric is an integrated platform that seamlessly brings together disparate data architectures and data technologies in real time. This enables entrepreneurs and managers to implement unified data access solutions and integration solutions across the enterprise that cover the entire data lifecycle while ensuring scalability, agility and security.
Smart Data Fabric
Finally, understanding Smart Data Fabric enables entrepreneurs and managers to use advanced analytics, machine learning and artificial intelligence in real-time to extract valuable insights from the data and create innovative business strategies. Smart Data Fabric enables automated data processing, data analysis and data interpretation, leading to better, data-backed management decisions and significantly will lead to faster reaction times in the respective industries and markets.
Conclusion
Overall, entrepreneurs and managers who have the knowledge of these different data architectures, concepts and technologies can run their organizations in a data-driven way, develop more effective strategies and thus achieve significant competitive advantages. The ability to efficiently collect, manage, even data in real time to analyzing and then immediately using it for management decisions is becoming an indispensable success factor in today’s digital business world.
The content
- Data Warehouse
- Data Lake
- Data Virtualization
- Enterprise Data Fabric
- Smart Data Fabric
- Datensilos und Medienbrüche
- Vertical and horizontal IT integration
About the author
Claus Michael Sattler is a consultant, interim manager, author, keynote speaker and university lecturer on the following topics:
- IT infrastructure management – data centers, cloud technologies, applications, databases and networks as well as vertical and horizontal IT integration
- OT integration – digitization, digital transformation, Industry 4.0, reference architecture model Industry 4.0 (RAMI 4.0), Industrial Internet of Things
- Data analytics – data warehouses, data lakes, data virtualization, enterprise data fabric and smart data fabric, and artificial intelligence (AI)
Claus Michael Sattler lectured as an university lecturer as part of the international EMBA course at the International Graduate Center (IGC) of the Bremen University of Applied Sciences and as a guest lecturer at the International Institute for Management Development (IMD) in Lausanne, Switzerland, and at the WHU – Otto Beisheim School of Management in
Vallendar, Germany.
Product Information
- Publisher: Self-published (July 31, 2023)
- Language: German
- Paperback edition: 140 pages
- ISBN-10:
- ISBN-13: 978-3-948903-00-8
- Dimensions: DIN A5
Listed by the following agencies for the placement of interim managers and experts:
Contact Details
Formal / Legal
Claus Michael Sattler
(Master Craftsman / Business Economist)
P.O.-Box 1142
28833 Weyhe
Germany
Telephone: 0049 (174) 6031377
E-Mail: cmsattler@cmsattler.de
This website is not a commercial site, but my personal business card.
China-Consulting-Partner
Diploma in Economics and Sinology
Renate Sattler
HKUST-Kellogg-EMBA (Hong Kong University of Science and Technology)
Contact Details
Telefon: 0049 (151) 28841087
E-Mail: rs@china-consulting-partner.com
Internet: https://www.china-consulting-partner.com
Contact Details
Telephone: 0049 (151) 28841087
email: rs@china-consulting-partner.com
internet: https://www.china-consulting-partner.com
In order to facilitate the flow of reading, we generally limit ourselves to male designations in the course of the text if there are different words for the female designation and the male designation in the respective language. We expressly emphasize that all people – regardless of gender, nationality, ethnic and social background, religion/belief, limitations, age and sexual orientation – are equally welcome.