Designing Data-Intensive Applications

Key Takeaways

• Understanding the trade-offs between consistency and availability in distributed systems
• How different database architectures solve specific problems
• The importance of thinking about data as streams rather than static entities
• Why most 'NoSQL' solutions eventually reinvent SQL-like features