Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addisonwesley Data & Analyti,Used

Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addisonwesley Data & Analyti,Used

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The Complete Guide to Data Science with HadoopFor Technical Professionals, Businesspeople, and StudentsDemand 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: highlevel concepts, deepdive techniques, realworld use cases, practical applications, and handson 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 businessdriven 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 Largescale anomaly detection NLP: applying data science to human language

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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We provide a 2-year limited warranty, from the date of purchase for all our products.

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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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