Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals [E-Book] / James Lee, Tao Wei, Suresh Kumar Mukhiya.
Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of an...
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Full text |
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| Personal Name(s): | Lee, James, author |
| Wei, Tao, author / Mukhiya, Suresh Kumar, author | |
| Edition: |
1st edition |
| Imprint: |
Birmingham :
Packt Publishing,
2018
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| Physical Description: |
293 pages (online resource) |
| Note: |
englisch |
| ISBN: |
9781788626088 1788620909 9781788620901 |
| Subject (LOC): |
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Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you'll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you'll work with structured and semi-structured data with the help of real-life examples. Once you've got to grips with the basics, you'll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You'll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you'll be able to design and develop efficient data models for varying data sizes easily and efficiently. |