Data oriented design software engineering for limited resources and short schedules 2nd Edition by Richard Fabian 1916478700 9781916478701

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ISBN-10 :  1916478700 

ISBN-13 :  9781916478701

Author:   Richard Fabian 

The projects tackled by the software development industry have grown in scale and complexity. Costs are increasing along with the number of developers. Power bills for distributed projects have reached the point where optimisations pay literal dividends. Over the last 10 years, a software development movement has gained traction, a movement founded in games development. The limited resources and complexity of the software and hardware needed to ship modern game titles demanded a different approach.Data-oriented design is inspired by high-performance computing techniques, database design, and functional programming values. It provides a practical methodology that reduces complexity while improving performance of both your development team and your product. Understand the goal, understand the data, understand the hardware, develop the solution.This book presents foundations and principles helping to build a deeper understanding of data-oriented design. It provides instruction on the thought processes involved when considering data as the primary detail of any project.

 

Data oriented design software engineering for limited resources and short schedules 2nd Table of contents:

1 Data-Oriented Design
1.1 It’s all about the data
1.2 Data is not the problem domain
1.3 Data and statistics
1.4 Data can change
1.5 How is data formed?
1.6 The framework.
1.7 Conclusions and takeaways

2 Relational Databases
2.1 Complex state
2.2 The framework.
2.3 Normalising your data
2.4 Normalisation
2.5 Operations
2.6 Summing up
2.7 Stream Processing
2.8 Why does database technology matter?

3 Existential Processing 
3.1 Complexity
3.2 Debugging
3.3 Why use an if
3.4 Types of processing
3.5 Don’t use booleans
3.6 Don’t use enums quite as much

4 Component Based Objects
4.1 Components in the wild
4.2 Away from the hierarchy
4.3 Towards managers
4.4 There is no entity

5 Hierarchical Level of Detail
5.1 Existence
5.2 Mementos
5.3 JIT mementos
5.4 Alternative axes
5.5 Collective LOD
6 Searching
6.1 Indexes
6.2 Data-oriented Lookup
6.3 Finding low and high
6.4 Finding random

7 Sorting
7.1 Do you need to?
7.2 Maintaining
7.3 Sorting for your platform.

8 Optimisations
8.1 When should we optimise?
8.2 Feedback
8.3 A strategy
8.4 Tables
8.5 Transforms
8.6 Spatial sets.

 

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