Advanced analytics with Spark
"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&#...
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:45711/TOC |
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| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
2015.
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| Izdanje: | 1. ed |
| Predmet: |
Sadržaj:
- Analyzing big data
- Introduction to data analysis with Scala and Spark
- Recommending music and the audioscrobbler data set
- Predicting forest cover with decision trees
- Anomaly detection in network traffic with K-means clustering
- Understanding Wikipedia with latent semantic analysis
- Analyzing co-occurrence networks with GraphX
- Geospatial and temporal data analysis on the New York City taxi trip data
- Estimating financial risk through Monte Carlo simulation
- Analyzing genomics data and the BDG project
- Analyzing neuroimaging data with PySpark and Thunder.