{"product_id":"9781098103651","title":"Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark","description":"The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming. \u003cp\u003e Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing. \u003c\/p\u003e\u003cp\u003e If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eFamiliarize yourself with Spark's programming model and ecosystem \u003c\/li\u003e\n\u003cli\u003eLearn general approaches in data science \u003c\/li\u003e\n\u003cli\u003eExamine complete implementations that analyze large public datasets \u003c\/li\u003e\n\u003cli\u003eDiscover which machine learning tools make sense for particular problems \u003c\/li\u003e\n\u003cli\u003eExplore code that can be adapted to many uses \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media, Incorporated","offers":[{"title":"Default Title","offer_id":46428923494641,"sku":"9781098103651","price":65.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781098103651_p0.jpg?v=1765123256","url":"https:\/\/shop.barnesandnoble.com\/products\/9781098103651","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}