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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using

Description: payment | shipping rates | returns Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark Product Category : Books ISBN : 9781098103651 Title : Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark EAN : 9781098103651 Authors : Tandon, Akash,Ryza, Sandy,Laserson, Uri,Owen, Sean,Wills, Josh Binding : paperback Publisher : O'Reilly Media Publication Date : 7/19/2022 12:00:00 A Pages : 233 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 65.99 Height : 0.4331 inches Width : 7.0079 inches Length : 9.0945 inches Weight : 0.8730 pounds Condition : Very Good About hpb-inc Selling quality books and media since 1972. Customer service is our top priority! Payment We accept several payment types. They are shown above. Shipping Please click the "Shipping and Payments" tab above for details. Returns Your satisfaction is very important to us. Please contact us via the methods available within eBay regarding any problems before leaving negative feedback. You have 60 days from purchase to request a refund. © 2024 hpb-inc

Price: 33.98 USD

Location: Dallas, Texas

End Time: 2024-11-15T20:16:46.000Z

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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Book Title: Advanced Analytics with PySpark: Patterns for Learning from Data

Number of Pages: 233 Pages

Language: English

Publication Name: Advanced Analytics with Pyspark : Patterns for Learning from Data at Scale Using Python and Spark

Publisher: O'reilly Media, Incorporated

Subject: Data Processing, Databases / Data Mining, Programming Languages / Python

Publication Year: 2022

Item Height: 0.6 in

Item Weight: 14.5 Oz

Type: Textbook

Item Length: 9.2 in

Subject Area: Computers

Author: Akash Tandon, Sean Owen, Uri Laserson, Josh Wills, Sandy Ryza

Item Width: 6.9 in

Format: Trade Paperback

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