Design with MongoDB
Best models for applications
To date, data has become a fundamental resource in all fields. Both large and medium-small companies analyze the data in their possession to plan all their activities, from marketing to production management. New professionals have emerged to address the challenges that data management and analysis pose. Among these, the data scientist has become one of the most sought after professionals.
Unfortunately, the exponential increase in the production of new data and the search for tools to extract useful information from them have relegated the figure of the database designer to the background. This figure, however, is fundamental to organize and store data in an appropriate way in order to speed up all the tools that use them. The design of a database, in fact, is a fundamental element in the construction of new technologies, new analysis tools and business development.
The most used databases to date are relational databases, such as Mysql, PostgreSQL, Oracle, etc.. This technology, conceived and developed since the 60s of the last century, has been very successful and has evolved over the decades to the current solutions. The theoretical basis, however, has remained unchanged and is widely documented in various university books and not. The great limitation of relational databases is the need to define a database schema. This aspect has been overcome by NoSQL databases. The latter, in fact, are called schemaless, i.e. without schema.
Their strength is, however, also one of the most critical aspects of this new technology. Lacking a specific formalism and well-defined rules to model the database, the design becomes almost an art that is jealously guarded by specialists in the field.
Users of NoSQL databases always ask themselves the same question: How do I structure the data schema? Unfortunately, there is no single solution to the problem, but it is necessary to analyze the context, examples of data, if available, and use cases related to the applications that will rely on the database.
The book “Designing with MongoDB” will analyze some case studies to define the most used models in the design of NoSQL document databases, and in particular MongoDB, to improve database performance.
Where to buy it
The book is available on Amazon in the Italian version in both paperback, hardcover and e-book formats.
Amazon Italia
Italian version of the book is also available on Amazon in both paper and e-book format. The italian page describing the book is available here.
Amazon Italia
Amazon Francia
Amazon UK
Amazon Spagna
Contents
ACKNOWLEDGMENTS
FOREWORD
INTRODUCTION
Book structure
Who is this book for
Beyond the book
SECTION I PREREQUISITES
CHAPTER 1 A SHORT OVERVIEW OF MONGODB
1.1 MongoDB: a history
1.2 Data structure
1.3 Learning checks
SECTION II CASE STUDIES
CHAPTER 2 DESIGNING AN E-COMMERCE WEBSITE
2.1 Polymorphic model
2.1.1 Pros and cons of the polymorphic model
2.2 Attribute model
2.2.1 Pros and cons of the attribute model
2.3 Extended reference model
2.3.1 Pros and cons of the extended reference model
2.4 Tree model
2.4.1 Pros e cons of the tree model
2.5 Subset model
2.5.1 Pros and cons of the subsets model
2.6 Outlier model
2.6.1 Pros and cons of the outlier model
2.7 What we learned
2.8 Learning checks
CHAPTER 3 DESIGNING AN ENERGY CONSUMPTION MONITORING SYSTEM
3.1 Bucket model
3.1.1 Pros and cons of the bucket model
3.2 Pre-aggregated value model
3.2.1 Pros and cons of the pre-aggregated values model
3.3 Approximation model
3.3.1 Pros and cons of the approximation model
3.4 What we learned
3.5 Learning checks
CHAPTER 4 DESIGNING AN INFORMATION SYSTEM FOR A MEDICAL CENTER
4.1 Preallocation model
4.1.1 Pros and cons of the preallocation model
4.2 Document versioning model
4.2.1 Pros and cons of the document versioning model
4.3 Schema versioning model
4.3.1 Pros and cons of the schema versioning model
4.4 What we learned
4.5 Learning checks
SECTION III LEARNING CHECKS
CHAPTER 5 THEORY QUESTIONS
5.1 Polymorphism
5.2 Atomicity in MongoDB
5.3 NoSQL Features
5.4 Analysis in MongoDB
5.5 NoSQL for Social Networks
5.6 Storage engines in MongoDB
CHAPTER 6 EXERCISES ON MODELS
6.1 The product-supplier model
6.2 How to manage the bestsellers of an e-commerce website
6.3 Management of product characteristics
6.4 Best hotel reviews
6.5 Company organizational chart
6.6 Integration of different business services
6.7 Trace the logs of information systems
6.8 City registry
6.9 Optimizing a time series database
6.10 Website traffic monitoring
6.11 Measuring performance in IoT
6.12 Fast software release
6.13 Theatre Information System
6.14 Insurance policy management
CONCLUSIONS
BIBLIOGRAPHY
ABOUT THE AUTHOR
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