Practical Data Science with Hadoop and Spark (Addison Wesley) |
Thursday, 12 January 2017 | |||
This book shows how to solve real data science problems with Hadoop and Spark. Authors Ofer Mendelevitch, Casey Stella, and Douglas Eadline draw on their experience with Hadoop and big data to bring together everything you need: high-level concepts, deep-dive techniques, real-world use cases, practical applications, and hands-on tutorials. <ASIN:0134024141> The essentials of data science and the modern Hadoop ecosystem are introduced, along with guidance on data ingestion, data cleansing, and visualization. The book then moves on to focus on specific applications, including machine learning, predictive modeling for sentiment analysis, clustering for document analysis, anomaly detection, and natural language processing (NLP). Author: Ofer Mendelevitch, Casey Stella, and Douglas Eadline
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