Big data analytics with spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing
(Book)

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Average Rating
Published
[United States] : Apress, [2015].
Format
Book
ISBN
1484209656, 9781484209653
Physical Desc
277 pages : illustrations ; 26 cm.
Status
Morris County Library - Adult Nonfiction
005.74 SPA GUL
1 available

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Published
[United States] : Apress, [2015].
Language
English
ISBN
1484209656, 9781484209653

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LocationCall NumberStatus
Morris County Library - Adult Nonfiction005.74 SPA GULAvailable
LocationCall NumberStatus
Parsippany Library (Main Library) - Adult Nonfiction006.3 GULAvailable

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Citations

APA Citation, 7th Edition (style guide)

Guller, M. (2015). Big data analytics with spark: a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing . Apress.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Guller, Mohammed. 2015. Big Data Analytics With Spark: A Practitioner's Guide to Using Spark for Large-scale Data Processing, Machine Learning, and Graph Analytics, and High-velocity Data Stream Processing. Apress.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Guller, Mohammed. Big Data Analytics With Spark: A Practitioner's Guide to Using Spark for Large-scale Data Processing, Machine Learning, and Graph Analytics, and High-velocity Data Stream Processing Apress, 2015.

MLA Citation, 9th Edition (style guide)

Guller, Mohammed. Big Data Analytics With Spark: A Practitioner's Guide to Using Spark for Large-scale Data Processing, Machine Learning, and Graph Analytics, and High-velocity Data Stream Processing Apress, 2015.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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