Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Product ratings

Product features
7.33
Online Popularity
3.73
Customer Positive Reviews
9.2
Customer Negative Reviews
0.8
9.76

Overall
MySweetGenevieve.com
Rating

Based on 56 customer reviews.

Product Features

  • 1. Learn from data at scale: Gain the insights you need to make sound decisions about your business by learning how to use Apache Spark for advanced analytics.
  • 2. Cut through the noise: Get more value from your data by filtering out irrelevant information and uncovering hidden patterns.
  • 3. Make better decisions: Increase your understanding of how your business works and make informed decisions about where to focus your efforts.
  • 4. Stay ahead of the competition: Don't let your competitors get an edge on you – learn how to use Spark for advanced analytics and gain a competitive advantage

Product Overview

  • Publisher : O'Reilly Media; 1st edition (April 20, 2015)
  • Language : English
  • Paperback : 276 pages
  • ISBN-10 : 1491912766
  • ISBN-13 : 978-1491912768
  • Item Weight : 1.05 pounds
  • Dimensions : 7.01 x 0.58 x 9.17 inches

About Advanced Analytics with Spark: Patterns for Learning from Data at Scale

Cloudera's Advanced Analytics with Spark provides you with a set of self-contained patterns for performing large-scale data analysis with Spark. 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. With this practical book, you will have the knowledge you need to successfully tackle big data analytics problems.

Top Positive Reviews

  • - Learn to use Apache Spark for advanced data analytics
  • - Understand how to apply machine learning algorithms and techniques
  • - Gain insights into big data architecture and learn how to load, process, and analyze big data sets
  • - Use Spark in conjunction with Hadoop and NoSQL databases

Top Negative Reviews

  • Four authors is three too many to explain Spark
  • it is not what I had expected. it does ...

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  • MySweetGenevieve.com processed 56 ratings & reviews for this product out of which, 35 are 5 Star Ratings.
  • Data analysis shows that 92% of customers had a positive experience with the product while 8% had some issues.

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