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Data Modeling and Database Design: Turn Your Data into Actionable Insights EBOOK
Brian Murray
Ebook | Anglais
3,99 €
+ 3 points
Description
"Data Modeling and Database Design: Turn Your Data into Actionable Insights" is a comprehensive guide to designing and implementing effective database solutions. With the explosion of data in today's world, businesses and organizations need reliable and efficient ways to store, manage, and analyze data. This book provides a step-by-step approach to data modeling and database design, covering the fundamentals of database management and advanced techniques for optimizing data storage and retrieval.
Starting with an introduction to data modeling and database design, the book covers the essential concepts and techniques for creating a data model that accurately represents the data and supports the organization's business requirements. It then explores database design, covering the creation of database schemas, normalization, and indexing, and the implementation of database objects such as tables, views, and stored procedures.
The book also covers advanced topics such as data warehousing, big data, and cloud databases. It discusses the challenges and opportunities presented by these new technologies and provides practical guidance on how to design and implement effective database solutions in these environments.
Throughout the book, the emphasis is on practical, real-world examples, with case studies and examples drawn from a variety of industries and domains. The book is aimed at database developers, data architects, and data analysts, as well as anyone interested in learning about data modeling and database design.
By the end of the book, readers will have a comprehensive understanding of data modeling and database design, and the skills and knowledge needed to design and implement effective database solutions that turn data into actionable insights.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9798224975471
- Date de parution :
- 28-04-24
- Format:
- Ebook
- Protection digitale:
- /
- Format numérique:
- ePub
