NoSQL and SQL Data Modeling

NoSQL and SQL Data Modeling
Author :
Publisher : Technics Publications
Total Pages : 233
Release :
ISBN-10 : 9781634621113
ISBN-13 : 1634621115
Rating : 4/5 (13 Downloads)

Book Synopsis NoSQL and SQL Data Modeling by : Ted Hills

Download or read book NoSQL and SQL Data Modeling written by Ted Hills and published by Technics Publications. This book was released on 2016-04-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this? The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases. This book will teach you: the simple and familiar graphical notation of COMN with its three basic shapes and four line styles how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that aren’t tangled with confused techno-speak how to express logical data designs that are freer from implementation considerations than is possible in any other notation how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development


NoSQL and SQL Data Modeling Related Books

NoSQL and SQL Data Modeling
Language: en
Pages: 233
Authors: Ted Hills
Categories: Computers
Type: BOOK - Published: 2016-04-01 - Publisher: Technics Publications

DOWNLOAD EBOOK

How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it
Graph Data Modeling for NoSQL and SQL
Language: en
Pages: 0
Authors: Thomas Frisendal
Categories: Non-relational databases
Type: BOOK - Published: 2016 - Publisher:

DOWNLOAD EBOOK

Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), l
SQL & NoSQL Databases
Language: en
Pages: 229
Authors: Andreas Meier
Categories: Computers
Type: BOOK - Published: 2019-07-05 - Publisher: Springer

DOWNLOAD EBOOK

This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of datab
Data Modeling With NoSQL Database
Language: en
Pages: 88
Authors: Sultan Ahmad
Categories:
Type: BOOK - Published: 2021-03-30 - Publisher:

DOWNLOAD EBOOK

● An important step in database implementation is the data modeling, because it facilitates the understanding of the project through key features that can pre
SQL and NoSQL Databases
Language: en
Pages: 263
Authors: Michael Kaufmann
Categories: Computers
Type: BOOK - Published: 2023-06-29 - Publisher: Springer Nature

DOWNLOAD EBOOK

This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of d