Complete Guide to Open Source Big Data Stack by Michael Frampton

I came across “Complete Guide to Open Source Big Data Stack” at the library. I picked it up because I figured it would be a good way to get an overview of some of the tools and libraries out there. It was. Chapters 1 and 10 provided an overview (or review) of a lot of tools. I hadn't heard of some like Apache Brooklyn (model/install/monitor apps). Others, like Apache Spark and Meso, I had heard of. It was helpful to see how everything fit together.

The architecture diagrams were helpful in understanding how everything relates. While I had read about Akka, I really liked the Pinger/Ponger example to fit everything together. The warnings were also helpful.

There were a lot of long sections of commands/outputs. This is useful in getting an install of the stack going. It felt long when reading (and not following it) though. I also worry that the level of detail will get out of date. But right now, it just came out so no worries there!

I give this book 8 out of 10 horseshoes.