Advanced Analytics with Spark - Info and Reading Options
Patterns for Learning from Data at Scale
By Sandy Ryza, Uri Laserson, Sean Owen and Josh Wills
"Advanced Analytics with Spark" was published by O'Reilly Media, Incorporated in 2015 - Sebastopol, CA, it has 1 pages and the language of the book is English.
“Advanced Analytics with Spark” Metadata:
- Title: Advanced Analytics with Spark
- Authors: Sandy RyzaUri LasersonSean OwenJosh Wills
- Language: English
- Number of Pages: 1
- Publisher: O'Reilly Media, Incorporated
- Publish Date: 2015
- Publish Location: Sebastopol, CA
“Advanced Analytics with Spark” Subjects and Themes:
- Subjects: ➤ Data mining - Spark (Electronic resource : Apache Software Foundation) - Big data - Computer programs - Données volumineuses - Exploration de données (Informatique) - Logiciels - COMPUTERS - General - Data processing - Java - Open source - Databases - Com018000 - Cs.cmp_sc.app_sw.db
Edition Specifications:
- Pagination: 276
Edition Identifiers:
- The Open Library ID: OL36802249M - OL19545687W
- ISBN-13: 9781491912737
- All ISBNs: 9781491912737
AI-generated Review of “Advanced Analytics with Spark”:
"Advanced Analytics with Spark" Description:
Open Data:
In 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. You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques-classification, collaborative filtering, and anomaly detection among others-to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find these patterns useful for working on your own data applications
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