- Get a gentle overview of big data and Spark
- Learn about DataFrames, SQL, and DatasetsâSparkâs core APIsâthrough worked examples
- Dive into Sparkâs low-level APIs, RDDs, and execution of SQL and DataFrames
- Understand how Spark runs on a cluster
- Debug, monitor, and tune Spark clusters and applications
- Learn the power of Sparkâs Structured Streaming and MLlib for machine learning tasks
- Explore the wider Spark ecosystem, including SparkR and Graph Analysis
- Examine Spark deployment, including coverage of Spark in the Cloud
Table of Contents
Chapter 1. A Gentle Introduction to Spark Chapter 2. Structured API Overview Chapter 3. Basic Structured Operations Chapter 4. Working with Different Types of Data Chapter 5. Aggregations Chapter 6. Joins Chapter 7. Data Sources Chapter 8. Spark SQL Chapter 9. Datasets Chapter 10. Low Level API Overview Chapter 11. Basic RDD Operations Chapter 12. Advanced RDDs Operations Chapter 13. Distributed Variables Chapter 14. Advanced Analytics and Machine Learning Chapter 15. Preprocessing and Feature Engineering Chapter 16. Preprocessing Chapter 17. Classification Chapter 18. Regression Chapter 19. Recommendation Chapter 20. Clustering Chapter 21. Graph Analysis Chapter 22. Deep Learning
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With our every growing list of 2 Millions+ new titles, we offer books across the spectrum for all your needs. We are World's Cheapest Online Store with a collection of over 2 Million best selling book titles. Our prices are at least 50% cheaper than Amazon!!
Are you Serious about Free WorldWide Shipping?
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Are these Physical Books?
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We can't believe your Prices? Are these are real?
Yes, yes, yes! Our prices are over 50% lower than that of Amazon and other stores. It's quite simple. We have removed the multiple layers of middlemen from the equation. We buy from publishers directly (worldwide) and ship them directly to you with a thin margin. Its
