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	1.	Image from Google Jackets	Entity information life cycle for big data : master data management and information integration / John R. Talburt, Yinle Zhou. by Talburt, John R [author.] Zhou, Yinle, 1986- [author.] Material type: Text; Format: print ; Literary form: Not fiction Publication details: Amsterdam: Elsevier, 2015 Online resources: Publisher description Availability: Items available for loan: Mzuzu University Library and Learning Resources Centre (1)Call number: HD 30.215 TAL 2015. Place hold Request article Save to lists Add to cart (remove)
	2.	Image from Google Jackets	Big Digital Humanities : imagining a meeting place for the humanities and the digital / Patrik Svensson. by Svensson, Patrik [author.] Series: Digital humanities Material type: Text; Format: print ; Literary form: Not fiction Publication details: California: University of Machigan Press, 2016 Other title: Imagining a meeting place for the humanities and the digital Availability: Items available for loan: Mzuzu University Library and Learning Resources Centre (1)Call number: AZ 105 SVE 2016. Place hold Request article Save to lists Add to cart (remove)
	3.	Image from Google Jackets	Structured search for big data : from keywords to key-objects / Mikhail Gilula. by Gilula, Mikhail Material type: Text; Format: print ; Literary form: Not fiction Publication details: New York: Elservier, 2016 Availability: Items available for loan: Mzuzu University Library and Learning Resources Centre (1)Call number: QA 76.9 GIL 2016. Place hold Request article Save to lists Add to cart (remove)
	4.	Image from Google Jackets	Doing data science in R : an introduction for social scientists/ Mark Andrews (Author) Material type: Text; Format: print ; Literary form: Not fiction Publication details: London: SAGE Publications Ltd., 2021 Availability: Items available for loan: Mzuzu University Library and Learning Resources Centre (2)Call number: QA 76.9.B45 AND 2021, ... Place hold Request article Save to lists Add to cart (remove)
	5.	Image from Google Jackets	Precalculus: department of Mathematics and Statistics end of semester examinations (MATH 1101) May 2024, Faculty of Scince, Technology and Innovation/ by Mzuzu University Material type: Text; Format: print ; Literary form: Not fiction Publication details: Mzuzu: Mzuzu University, 2024 Availability: Items available for loan: Mzuzu University Library and Learning Resources Centre (1)Call number: PP07. Place hold Request article Save to lists Add to cart (remove)