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Advanced Analytics with Spark: Patterns for Learning from Data at Scale Ryza, S

Description: Advanced Analytics with Spark: Patterns for Learning from Data at Scale Ryza, Sandy, Laserson, Uri, Owen, Sean, Wills, Josh paperback Publisher: O''''Reilly Media May 19 2015 Edition: ISBN: 9781491912768 Description: Used - Very Good Very Good condition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner’s name, short gifter’s inscription or light stamp. Internal SKU: Q10E-02459 Wonder Bookhas been in business since 1980 and online since 1997! We have three brick and mortar stores in Baltimore/DC region and over 2 million books online. We have served millions of happy customers. Our merchandise is 100% guaranteed! Simply return the item within 30 days of purchase for a refund. Most of our items ship within one business day via DHL or USPS. Standard Continental U.S. Shipments will arrive within 3-7 business days, Priority 2-6. Check out our multiple item shipping discounts. Check out our other listings! We have over 150,000 additional titles in books/movies/music categories and we are adding 100''s of titles every day so please subscribe to our listings.

Price: 11.48 USD

Location: Frederick, Maryland

End Time: 2024-11-28T11:11:42.000Z

Shipping Cost: 0 USD

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Advanced Analytics with Spark: Patterns for Learning from Data at Scale Ryza, S

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Book Title: Advanced Analytics with Spark: Patterns for Learning from Data at

Number of Pages: 274 Pages

Publication Name: Advanced Analytics with Spark : Patterns for Learning from Data at Scale

Language: English

Publisher: O'reilly Media, Incorporated

Publication Year: 2015

Subject: Data Processing, Databases / Data Mining, Databases / General, Enterprise Applications / General

Item Height: 0.6 in

Type: Textbook

Item Weight: 16.8 Oz

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

Item Length: 9.2 in

Subject Area: Computers

Item Width: 7.1 in

Format: Trade Paperback

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