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Advanced Analytics with Spark, 2e
Uri Laserson
€ 60.48
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Description for Advanced Analytics with Spark, 2e
Paperback. In the second edition of this practical book, five Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world datasets together to teach you how to approach analytics problems by example. Num Pages: 330 pages. BIC Classification: UNF. Category: (P) Professional & Vocational. Dimension: 250 x 150 x 15. Weight in Grams: 666.
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection-to fields such as genomics, ... Read more
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection-to fields such as genomics, ... Read more
Product Details
Publisher
O´Reilly Media, Inc, USA
Format
Paperback
Publication date
2017
Condition
New
Weight
665g
Number of Pages
280
Place of Publication
Sebastopol, United States
ISBN
9781491972953
SKU
V9781491972953
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Uri Laserson
Juliet Hougland is the Head of Data Science, Engineering at Cloudera. Juliet holds an MS in Applied Mathematics from University of Colorado, Boulder and graduated Phi Beta Kappa from Reed College with a BA in Math-Physics. Uri Laserson is an Assistant Professor of Genetics at the Icahn School of Medicine at Mount Sinai, where he develops scalable technology for genomics ... Read more
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