You can pre-order it on Amazon and O'Reilly. You can also get the Rough Cuts version from O'Reilly to read today, although it hasn't yet been refreshed with my latest draft (I hope that will happen in the next few days).
Here's the final chapter listing. Readers of earlier drafts will notice that the number of chapters has grown: this is because the elephantine MapReduce chapter has been split into three (chapters 6, 7, and 8) to make things more digestible.
- Meet Hadoop
- The Hadoop Distributed Filesystem
- Hadoop I/O
- Developing a MapReduce Application
- How MapReduce Works
- MapReduce Types and Formats
- MapReduce Features
- Setting Up a Hadoop Cluster
- Administering Hadoop
- Case Studies