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Big data analytics with R and Hadoop / Vignesh Prajapati. by Prajapati, Vignesh. Material type: Text; Format:
print
; Literary form:
Not fiction
; Audience:
General;
Language: English Publication details: Birmingham : Packt Publishing, 2013Online access: WorldCat Details | Ebook Fulltext Availability: Items available for loan: Dr. S. R. Lasker Library, EWU (4)Call number: 519.50285 PRB 2013, ... Items available for reference: Dr. S. R. Lasker Library, EWU: Not For Loan (2)Call number: 519.50285 PRB 2013, ...
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Mining of massive datasets / Jure Leskovec, Anand Rajaraman, Rocketship VC and Jeffrey David Ullman. by Leskovec, Jurij | Rajaraman, Anand | Ullman, Jeffrey D. Edition: 3rd ed.Material type: Text; Format:
print
; Literary form:
Not fiction
; Audience:
General;
Language: English Publication details: New york : Cambridge university press, 2020Online access: Worldcat details Availability: Items available for loan: Dr. S. R. Lasker Library, EWU (1)Call number: 006.312 23 LEM 2020. Items available for reference: Dr. S. R. Lasker Library, EWU: Not For Loan (1)Call number: 006.312 23 LEM 2020.
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Big data analysis for green computing : concepts and applications / edited by Rohit Sharma, Dilip Kumar Sharma, Dhowmya Bhatt and Binh Thai Pham. by Sharma, Rohit | Śarmā, Dilīpa | Bhatt, Dhowmya | Pham, Binh Thai. Series: Green engineering and technology : concepts and applicationsEdition: 1st ed.Material type: Text; Nature of contents: ; Literary form:
Not fiction
; Audience:
General;
Language: English Publication details: Boca Raton : CRC Press, 2022Online access: WorldCat Details Availability: Items available for loan: Dr. S. R. Lasker Library, EWU (3)Call number: 005.7 BIG 2022, ... Items available for reference: Dr. S. R. Lasker Library, EWU: Not For Loan (1)Call number: 005.7 BIG 2022.
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