Share
Advanced Analytics with Spark: Patterns for Learning from Data at Scale (in English)
Sandy Ryza
(Author)
·
Uri Laserson
(Author)
·
Sean Owen
(Author)
·
O'Reilly Media
· Paperback
Advanced Analytics with Spark: Patterns for Learning from Data at Scale (in English) - Ryza, Sandy ; Laserson, Uri ; Owen, Sean
$ 47.99
$ 59.99
You save: $ 12.00
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, June 03 and
Tuesday, June 04.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Advanced Analytics with Spark: Patterns for Learning from Data at Scale (in English)"
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: Familiarize yourself with the Spark programming modelBecome comfortable within the Spark ecosystemLearn general approaches in data scienceExamine complete implementations that analyze large public data setsDiscover which machine learning tools make sense for particular problemsAcquire code that can be adapted to many uses