{"title":"Petar Zecevic","description":null,"products":[{"product_id":"spark-in-action-book-petar-zecevic-9781617292606","title":"Spark in Action","description":"Working with big data can be complex and challenging, in part   because of the multiple analysis frameworks and tools required.   Apache Spark is a big data processing framework perfect for analyzing   near-real-time streams and discovering historical patterns in batched   data sets. But Spark goes much further than other frameworks. By   including machine learning and graph processing capabilities, it makes   many specialized data processing platforms obsolete. Spark's unified   framework and programming model significantly lowers the initial   infrastructure investment, and Spark's core abstractions are intuitive for   most Scala, Java, and Python developers.         Spark in Action teaches readers to use Spark for stream and batch data    processing. It starts with an introduction to the Spark architecture and   ecosystem followed by a taste of Spark's command line interface.   Readers then discover the most fundamental concepts and abstractions   of Spark, particularly Resilient Distributed Datasets (RDDs) and the   basic data transformations that RDDs provide. The first part of the   book covers writing Spark applications using the the core APIs.   Readers also learn how to work with structured data using Spark SQL,   how to process near-real time data with Spark Streaming, how to apply   machine learning algorithms with Spark MLlib, how to apply graph   algorithms on graph-shaped data using Spark GraphX, and an   introduction to Spark clustering.       Key Features:     • Clear introduction to Spark      • Teaches how to ingest near real-time data      • Gaining value from big data      • Includes real-life case studies           AUDIENCE   Readers should be familiar with Java, Scala, or Python. No knowledge of   Spark or streaming operations is assumed, but some acquaintance with   machine learning is helpful.       ABOUT THE TECHNOLOGY   Apache Spark is a big data processing framework perfect for analyzing   near-real-time streams and discovering historical patterns in batched data   sets. Spark also offers machine learning and graph processing capabilities.","brand":"WoB","offers":[{"title":"GB \/ LIKE_NEW \/ INTERNAL","offer_id":49530738082065,"sku":"GOR013034011","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49631979110673,"sku":"GOR009810150","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":50395806630161,"sku":"CIN1617292605G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ WELL_READ \/ SBYB","offer_id":51333088542993,"sku":"CIN1617292605A","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1617292605.jpg?v=1765966900"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-petar-zecevic.oembed","provider":"World of Books ","version":"1.0","type":"link"}