Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale Addison-Wesley Data and Analytics

$15.99

Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale Addison-Wesley Data and Analytics
Authors: Ofer Mendelevitch
Year: 2017
Publisher: Addison-Wesley
Language: English
ISBN 13: 9782016955468
ISBN 10: 2016955465
Categories: Computers, Databases
Pages: 320 / 319
Edition: 1

Availability: 5000 in stock

SKU: 9782016955468 Categories: ,

Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics) Ofer Mendelevitch, Casey Stella, Douglas Eadline
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® 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 Categories:
Computers – Databases
Year:
2017
Edition:
1
Publisher:
Addison-Wesley
Language:
english
Pages:
256 / 257
ISBN 10:
2016955465
ISBN 13:
9782016955468
File:
08 MB

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Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale Addison-Wesley Data and Analytics
$15.99

Availability: 5000 in stock