Preface

Part I�� Foundations of Data Systems
1��Reliable�� Scalable�� and Maintainable Applications
Thinking About Data Systems
Reliability
Hardware Faults
Software Errors
Human Errors
How Important Is Reliability?
Scalability
Describing Load
Describing Performance
Approaches for Coping with Load
Maintainability
Operability�� Making Life Easy for Operations
Simplicity�� Managing Complexity
Evolvability�� Making Change Easy
Summary
2��Data Models and Query Languages
Relational Model Versus Document Model
The Birth of NoSQL
The Object-Relational Mismatch
Many-to-One and Many-to-Many Relationships
Are Document Databases Repeating History?
Relational Versus Document Databases Today
Query Languages for Data
Declarative Queries on the Web
Map Reduce Querying
Graph-Like Data Models
Property Graphs
The Cypher Query Language
Graph Queries in SQL
Triple-Stores and SPARQL
The Foundation�� Datalog
Summary
3��Storage and Retrieval
Data Structures That Power Your Database
Hash Indexes
SSTables and LSM-Trees
B-Trees
Comparing B Trees and LSM-Trees
Other Indexing Structures
Transaction Processing or Analytics?
Data Warehousing
Stars and Snowflakes�� Schemas for Analytics
Column-Oriented Storage
Column Compression
Sort Order in Column Storage
Writing to Column-Oriented Storage
Aggregation�� Data Cubes and Materialized Views
Summary
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Part II�� Distributed Data
Part III�� Derived Data

Glossary
Index