click to
look inside
look inside
Look inside
FREE
You can see this entire book for free.Click the table of contents to start reading.
placing your order...
Don't refresh or navigate away from the page.
- customers also bought these items
- Storm Applied
- Machine Learning with TensorFlow, Second Edition
- Spark GraphX in Action
- Real-World Machine Learning
- Machine Learning Systems
- customers also bought these items
- Streaming Data
- Docker in Action, Second Edition
- Event Streams in Action
- Real-World Machine Learning
- Spark GraphX in Action
- customers also bought these items
- Introducing Data Science
- Event Streams in Action
- Machine Learning with TensorFlow, Second Edition
- Machine Learning Systems
- Docker in Action, Second Edition
Dig in and get your hands dirty with one of the hottest data processing engines today. A great guide.
Look inside
Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. Fully updated for Spark 2.0.
about the technology
Big data systems distribute datasets across clusters of machines, making it a challenge to efficiently query, stream, and interpret them. Spark can help. It is a processing system designed specifically for distributed data. It provides easy-to-use interfaces, along with the performance you need for production-quality analytics and machine learning. Spark 2 also adds improved programming APIs, better performance, and countless other upgrades.
about the book
Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark. You'll get comfortable with the Spark CLI as you work through a few introductory examples. Then, you'll start programming Spark using its core APIs. Along the way, you'll work with structured data using Spark SQL, process near-real-time streaming data, apply machine learning algorithms, and munge graph data using Spark GraphX. For a zero-effort startup, you can download the preconfigured virtual machine ready for you to try the book's code.
what's inside
- Updated for Spark 2.0
- Real-life case studies
- Spark DevOps with Docker
- Examples in Scala, and online in Java and Python
FREE domestic shipping on orders of three or more print books
Must-have! Speed up your learning of Spark as a distributed computing framework.
An ambitiously comprehensive overview of Spark and its diverse ecosystem.
An easy-to-follow, step-by-step guide.