{"product_id":"mastering-spark-with-r-the-complete-guide-to-large-scale-analysis-and-modeling","title":"Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book teaches data scientists and professionals how to use Apache Spark with R to tackle big data and big compute problems. It covers relevant data science topics, cluster computing, and advanced users, and provides hands-on examples and code. \u003c\/blockquote\u003e\u003cp\u003e                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e                              \u003cstrong\u003eLength\u003c\/strong\u003e: 288 pages\u003cbr\u003e                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 18 October 2019\u003cbr\u003e                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: O'Reilly Media, Inc, USA\u003cbr\u003e                          \u003c\/p\u003e \u003cp\u003e\u003cbr\u003eIf you're a R user, chances are you have a deep understanding and passion for statistics. However, as your organization accumulates vast amounts of data, incorporating tools like Apache Spark becomes increasingly sensible. This practical guide is designed for data scientists and professionals working with large-scale data applications, teaching them how to leverage Spark from R to tackle complex big data and compute challenges. Authored by Javier Luraschi, Kevin Kuo, and Edgar Ruiz, this book showcases how to combine R with Spark to solve diverse data analysis problems. It encompasses a range of relevant data science topics, including cluster computing, and addresses the needs of even the most advanced users.\u003cbr\u003e\u003cbr\u003eWith this book, you'll gain the ability to analyze, explore, transform, and visualize data in Apache Spark using R. You'll learn how to create statistical models to extract valuable information and make predictions, automate the analysis process in production-ready workflows, and perform analysis and modeling across multiple machines using distributed computing techniques. Moreover, you'll explore the ease of working with large-scale data from various sources and formats within Spark.\u003cbr\u003e\u003cbr\u003eFurthermore, this guide delves into advanced topics such as custom transformations, real-time data processing, and developing custom Spark extensions. Whether you're a seasoned data scientist or just starting your journey into big data, this book will provide you with the knowledge and skills needed to harness the power of Apache Spark with R and tackle challenging data analysis tasks effectively.\u003c\/p\u003e\u003cp\u003e                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 526g                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 176 x 233 x 16 (mm)                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781492046370                                                      \u003c\/p\u003e","brand":"Javier Luraschi,Kevin Kuo,Edgar Ruiz","offers":[{"title":"Paperback \/ softback","offer_id":44100316397818,"sku":"9781492046370","price":32.12,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/d92fb9bcd14fad09c26ca56afab8bcd5.jpg?v=1629601863","url":"https:\/\/shulphink.com\/products\/mastering-spark-with-r-the-complete-guide-to-large-scale-analysis-and-modeling","provider":"Shulph Ink","version":"1.0","type":"link"}