Practical Data Science with Hadoop and Spark : Designing and Building Effective Analytics at Scale (0134024141)

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The Complete Guide to Data Science with Hadoop-For Technical Professionals, Businesspeople, and Students

Demand is soaring for professionals who can solve real data science problems with Hadoop and Spark. Practical Data Science with Hadoop (R) and Spark is your complete guide to doing just that. Drawing on immense experience with Hadoop and big data, three leading experts bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials.

The authors introduce the essentials of data science and the modern Hadoop ecosystem, explaining how Hadoop and Spark have evolved into an effective platform for solving data science problems at scale. In addition to comprehensive application coverage, the authors also provide useful guidance on the important steps of data ingestion, data munging, and visualization.

Once the groundwork is in place, the authors focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP).

This guide provides a strong technical foundation for those who want to do practical data science, and also presents business-driven guidance on how to apply Hadoop and Spark to optimize ROI of data science initiatives.

Learn

What data science is, how it has evolved, and how to plan a data science career
How data volume, variety, and velocity shape data science use cases
Hadoop and its ecosystem, including HDFS, MapReduce, YARN, and Spark
Data importation with Hive and Spark
Data quality, preprocessing, preparation, and modeling
Visualization: surfacing insights from huge data sets
Machine learning: classification, regression, clustering, and anomaly detection
Algorithms and Hadoop tools for predictive modeling
Cluster analysis and similarity functions
Large-scale anomaly detection
NLP: applying data science to human language

Product details

• Format Paperback | 256 pages
• Dimensions 179 x 234 x 16mm | 440g
• Publication date 22 Dec 2016
• Publisher Pearson Education (US)
• Imprint Addison-Wesley Educational Publishers Inc
• Publication City/Country New Jersey, United States
• Language English
• ISBN10 0134024141
• ISBN13 9780134024141
• Bestsellers rank 995,744

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