Ming Wang

Practical Big Data Analytics: Hands-on techniques to implement enterprise analy

Description: Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine lear ISBN : 9781783554393 Title : Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine lear Authors : Binding : paperback Publisher : Packt Publishing Publication Date : Jan 15 2018 Condition : Used - Good Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Payment We accept PayPal for all eBay orders. Please see payment details below. We will only ship to the address that is entered into PayPal when payment is made! Shipping Multiple shipping options are available for this item. For more detail, please see below, and select the shipping option that is most convenient for you. Returns We have a 30 day return policy. The return must be postmarked within 30 days of the delivery date. Once the item has been returned, we will initiate an item-only refund (shipping costs are non-refundable). We do not provide return labels for general returns.

Price: 5.83 USD

Location: Columbia, Missouri

End Time: 2024-08-15T20:16:03.000Z

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Practical Big Data Analytics: Hands-on techniques to implement enterprise analy

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Book Title: Practical Big Data Analytics: Hands-on techniques to implement en

Number of Pages: 412 Pages

Publication Name: Practical Big Data Analytics : Hands-On Techniques to Implement Enterprise Analytics and Machine Learning Using Hadoop, Spark, NoSQL and R

Language: English

Publisher: Packt Publishing, The Limited

Subject: Systems Architecture / Distributed Systems & Computing, Cloud Computing, Data Modeling & Design, Data Processing, Databases / Data Mining

Publication Year: 2018

Type: Textbook

Subject Area: Computers

Item Length: 3.6 in

Author: Nataraj Dasgupta, Serguei Boldyrev

Item Width: 3 in

Format: Trade Paperback

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