دانلود کتاب Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics) – علم داده های عملی با Hadoop و Spark: طراحی و ایجاد تجزیه و تحلیل موثر در مقیاس (داده ها و تجزیه و تحلیل آدیسون-وسلی)

توضیحات

The Complete Guide to Data Science with HadoopFor 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

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ترجمه ماشینی :

راهنمای کامل علوم داده با Hadoopبرای متخصصان فنی، تجار و دانشجویان

تقاضا برای متخصصانی که می‌توانند مشکلات واقعی علم داده را با Hadoop و Spark حل کنند، در حال افزایش است. علم عملی داده با Hadoop و Spark راهنمای کامل شما برای انجام این کار است. با تکیه بر تجربه بی‌نظیر با Hadoop و داده‌های بزرگ، سه متخصص برجسته هر آنچه را که نیاز دارید گرد هم می‌آورند: مفاهیم سطح بالا، تکنیک‌های غواصی عمیق، موارد استفاده در دنیای واقعی، برنامه‌های کاربردی عملی و آموزش‌های عملی.