HPB West Lane Avenue 1389 W Lane Ave Columbus, OH 43221
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Wednesday 10 AM -8 PM
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Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Carriage Place 2642 Bethel Rd Columbus, OH 43220
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HPB Westerville 561 S State St Westerville, OH 43081
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Monday 10 AM -8 PM
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Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB Reynoldsburg 8107 E Broad St Reynoldsburg, OH 43068
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Monday 10 AM -8 PM
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Wednesday 10 AM -8 PM
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Friday 10 AM -8 PM
Saturday 10 AM -8 PM
Sunday 10 AM -8 PM
HPB NorthPointe Plaza 100 Meadow Park Ave Lewis Center, OH 43035
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Monday 10 AM -8 PM
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Wednesday 10 AM -8 PM
Thursday 10 AM -8 PM
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Sunday 10 AM -8 PM
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.
You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance.
If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find the book's patterns useful for working on your own data applications.
With this book, you will: