Data is at the center of many challenges in system design today. Important issues such as scalability, stability, reliability, efficiency and stability need to be explored. In addition, we have a wide range of tools including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right options for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppman helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software varies, but the fundamentals remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
- Peer under the hood of systems you already use, and learn to use and operate them more effectively.
- Identify the strengths and weaknesses of various tools and make informed decisions.
- Navigate trade-offs around stability, scalability, fault tolerance and complexity.
- Understand distributed systems research on which modern databases are built.
- Peek behind the scenes of major online services, and learn from their architecture.