{"product_id":"advanced-analytics-with-spark-patterns-for-learning-from-data-at-scale-paperback","title":"Advanced Analytics with Spark: Patterns for Learning from Data at Scale - Paperback","description":"\u003cp\u003eby \u003cb\u003eSandy Ryza\u003c\/b\u003e (Author), \u003cb\u003eUri Laserson\u003c\/b\u003e (Author), \u003cb\u003eSean Owen\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming. \u003c\/p\u003e\u003cp\u003e You'll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques--including classification, clustering, collaborative filtering, and anomaly detection--to fields such as genomics, security, and finance. \u003c\/p\u003e\u003cp\u003e If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you'll find the book's patterns useful for working on your own data applications. \u003c\/p\u003e\u003cp\u003e With this book, you will: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eFamiliarize yourself with the Spark programming model \u003c\/li\u003e\n\u003cli\u003eBecome comfortable within the Spark ecosystem \u003c\/li\u003e\n\u003cli\u003eLearn general approaches in data science \u003c\/li\u003e\n\u003cli\u003eExamine complete implementations that analyze large public data sets \u003c\/li\u003e\n\u003cli\u003eDiscover which machine learning tools make sense for particular problems \u003c\/li\u003e\n\u003cli\u003eAcquire code that can be adapted to many uses \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSandy Ryza develops algorithms for public transit at Remix. Prior, he was a senior data scientist at Cloudera and Clover Health. He is an Apache Spark committer, Apache Hadoop PMC member, and founder of the Time Series for Spark project. He holds the Brown University computer science department's 2012 Twining award for \"Most Chill\".\u003c\/p\u003e\u003cp\u003eUri Laserson is an Assistant Professor of Genetics at the Icahn School of Medicine at Mount Sinai, where he develops scalable technology for genomics and immunology using the Hadoop ecosystem.\u003c\/p\u003e\u003cp\u003eSean Owen is Director of Data Science at Cloudera. He is an ApacheSpark committer and PMC member, and was an Apache Mahout committer.\u003c\/p\u003e\u003cp\u003eJosh Wills is the Head of Data Engineering at Slack, the founder of the Apache Crunch project, and wrote a tweet about data scientists once.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 277\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.1 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 01, 2017\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51760666411296,"sku":"9781491972953","price":59.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/61649670ed8c99507306b394f9f34796.webp?v=1780186269","url":"https:\/\/ebocreations.com\/products\/advanced-analytics-with-spark-patterns-for-learning-from-data-at-scale-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}