{"product_id":"data-algorithms-with-spark-recipes-and-design-patterns-for-scaling-up-using-pyspark-1st-edition-by-mahmoud-parsian-author","title":"Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark 1st Edition by Mahmoud Parsian (Author)","description":"\u003cp\u003eApache Spark's speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.\u003c\/p\u003e\n\u003cp\u003eIn each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.\u003c\/p\u003e\n\u003cp\u003eWith this book, you will:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn how to select Spark transformations for optimized solutions\u003c\/li\u003e\n\u003cli\u003eExplore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()\u003c\/li\u003e\n\u003cli\u003eUnderstand data partitioning for optimized queries\u003c\/li\u003e\n\u003cli\u003eBuild and apply a model using PySpark design patterns\u003c\/li\u003e\n\u003cli\u003eApply motif-finding algorithms to graph data\u003c\/li\u003e\n\u003cli\u003eAnalyze graph data by using the GraphFrames API\u003c\/li\u003e\n\u003cli\u003eApply PySpark algorithms to clinical and genomics data\u003c\/li\u003e\n\u003cli\u003eLearn how to use and apply feature engineering in ML algorithms\u003c\/li\u003e\n\u003cli\u003eUnderstand and use practical and pragmatic data design patterns\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData Algorithms with Spark book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData Algorithms with Spark 1st Edition\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark data algorithms book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eApache Spark algorithms book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePySpark algorithms book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBig data algorithms with Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData engineering with Spark book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eScalable data algorithms book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark design patterns book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePySpark data processing book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark recipes book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBig data processing with Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark machine learning algorithms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData analytics with Spark book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark for data scientists book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePySpark for data engineers\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eDistributed data algorithms book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark performance optimization book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark data engineering guide\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eApache Spark cookbook\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData pipelines with Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark algorithms for big data\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePySpark programming book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark cluster data processing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBig data analytics Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark design patterns for scaling\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData engineering best practices Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark structured data processing\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark algorithm optimization\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eScalable analytics with Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark big data textbook\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark recipes and patterns\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData algorithms scaling book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark architecture and algorithms\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003ePySpark analytics guide\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBig data systems with Spark\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark reference book\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSpark for professionals\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eData Algorithms with Spark online\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eBuy Data Algorithms with Spark book online\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003ePublisher ‏ : ‎ O'Reilly Media\u003c\/li\u003e\n\u003cli\u003ePublication date ‏ : ‎ May 17, 2022\u003c\/li\u003e\n\u003cli\u003eEdition ‏ : ‎ 1st\u003c\/li\u003e\n\u003cli\u003eLanguage ‏ : ‎ English\u003c\/li\u003e\n\u003cli\u003ePrint length ‏ : ‎ 435 pages\u003c\/li\u003e\n\u003cli\u003eISBN-10 ‏ : ‎ 1492082384\u003c\/li\u003e\n\u003cli\u003eISBN-13 ‏ : ‎ 978-1492082385\u003c\/li\u003e\n\u003cli\u003eItem Weight ‏ : ‎ 2.31 pounds\u003c\/li\u003e\n\u003cli\u003eDimensions ‏ : ‎ 7 x 0.9 x 9.15 inches\u003c\/li\u003e\n\u003cli\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"The Aura Trade","offers":[{"title":"Default Title","offer_id":49962931093741,"sku":"TAB6901","price":55.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0812\/5598\/9485\/files\/1766999778-Data-Algorithms-with-Spark.jpg?v=1778566304","url":"https:\/\/theauratrade.com\/products\/data-algorithms-with-spark-recipes-and-design-patterns-for-scaling-up-using-pyspark-1st-edition-by-mahmoud-parsian-author","provider":"The Aura Trade ","version":"1.0","type":"link"}