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Apache Spark in 24 Hours, Sams Teach Yourself, by Jeffrey Aven
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Apache Spark is a fast, scalable, and flexible open source distributed processing engine for big data systems and is one of the most active open source big data projects to date. In just 24 lessons of one hour or less, Sams Teach Yourself Apache Spark in 24 Hours helps you build practical Big Data solutions that leverage Spark’s amazing speed, scalability, simplicity, and versatility.
This book’s straightforward, step-by-step approach shows you how to deploy, program, optimize, manage, integrate, and extend Spark–now, and for years to come. You’ll discover how to create powerful solutions encompassing cloud computing, real-time stream processing, machine learning, and more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success.
Whether you are a data analyst, data engineer, data scientist, or data steward, learning Spark will help you to advance your career or embark on a new career in the booming area of Big Data.
Learn how to
• Discover what Apache Spark does and how it fits into the Big Data landscape
• Deploy and run Spark locally or in the cloud
• Interact with Spark from the shell
• Make the most of the Spark Cluster Architecture
• Develop Spark applications with Scala and functional Python
• Program with the Spark API, including transformations and actions
• Apply practical data engineering/analysis approaches designed for Spark
• Use Resilient Distributed Datasets (RDDs) for caching, persistence, and output
• Optimize Spark solution performance
• Use Spark with SQL (via Spark SQL) and with NoSQL (via Cassandra)
• Leverage cutting-edge functional programming techniques
• Extend Spark with streaming, R, and Sparkling Water
• Start building Spark-based machine learning and graph-processing applications
• Explore advanced messaging technologies, including Kafka
• Preview and prepare for Spark’s next generation of innovations
Instructions walk you through common questions, issues, and tasks; Q-and-As, Quizzes, and Exercises build and test your knowledge; "Did You Know?" tips offer insider advice and shortcuts; and "Watch Out!" alerts help you avoid pitfalls. By the time you're finished, you'll be comfortable using Apache Spark to solve a wide spectrum of Big Data problems.
- Sales Rank: #245823 in Books
- Published on: 2016-08-27
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.30" w x 7.00" l, .0 pounds
- Binding: Paperback
- 592 pages
About the Author
Jeffrey Aven is a big data consultant and instructor based in Melbourne, Australia. Jeff has an extensive background in data management and several years of experience consulting and teaching in the areas of Hadoop, HBase, Spark, and other big data ecosystem technologies. Jeff has won accolades as a big data instructor and is also an accomplished consultant who has been involved in several high-profile, enterprise-scale big data implementations across different industries in the region.
Most helpful customer reviews
1 of 1 people found the following review helpful.
You will be writing basic Spark jobs within a day or two.
By Virginia Mike
I found out I would be working with Spark on an upcoming job so I picked up this book. I am an experienced SW dev and systems integrator and had already installed Spark and Python prior to getting this book. That being said, this book's methodical approach from the basic constructs to the more involved and specialized areas was very well done and organized in a logical progression (tho I did skip around a bit as I am not using AWS or SQL, for now). I was writing my own Spark jobs within a couple of days (using Python) using the Spark shell and stand alone Python scripts. You will of course be accessing the online Spark documentation and API reference documentation to augment your coding and understanding, but, I thought this was an excellent book to get up to speed in a very short time. This book is by no means comprehensive (there is no way any one book can be), but after working thru this book, I am very well prepared to branch out and move onto more advance Spark topics. Highly recommended if you are already involved with software (i.e. a techie), but new to Spark.
0 of 0 people found the following review helpful.
Great tutorial book on all Spark features
By Arun R
The book has covered a wide variety of topics on Spark and has good introductions on Hadoop HDFS and YARN. It serves as a comprehensive tutorial on all the important Spark concepts. I would have liked more advanced use cases and more tips on performance tuning.
2 of 2 people found the following review helpful.
Great book
By Christofer
Great book! A lot of work obviously went into this.
Just the thing to teach you Apache Spark. Good job, Jeff!
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