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Combine the power of Apache Spark and Python to build effective big data applications Key Features Perform effective data processing;
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to optimize your work by using many features of Spark 2.x and Scala Book DescriptionApache Spark is an in-memory, cluster-based data;
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. In this cookbook, you'll find more than just pie recipes to spark your imagination in cooking with rhubarb. Delicious rhubarb is versatile;
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. In this cookbook, you'll find more than just pie recipes to spark your imagination in cooking with rhubarb. Delicious rhubarb is versatile;
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Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries About This Book;
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* Implement Scala in your data analysis using features from Spark, Breeze, and Zeppelin * Scale up your data anlytics infrastructure with practical;
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libraries, including Spark, Scala.js, Play Framework, and GraalVM Types, such as variance, givens, intersections, and unions Best practices;
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Spark, and Mahout About This Book * Implement outstanding Machine Learning use cases on your own analytics models and processes;
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Over insightful 90 recipes to get lightning-fast analytics with Apache Spark About This Book * Use Apache Spark for data processing;
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Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable;
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Spark 3 leerwerkboek (incl. spark strategy guide);
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Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses;
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Spark 4 Leerwerkboek is een boek van Pelckmans;
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Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This Book * Perform big;
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. Apache Spark is a big data processing framework perfect for analyzing near-real-time streams and discovering historical patterns in batched;
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Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available;
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learning. How can you process such varied data workloads efficiently? Enter Apache Spark. Updated to emphasize new features in Spark 2.4., this;
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Production-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark;
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A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop;
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Winner of the 2012 Gourmand Cookbook Award for Best Eastern European Cookbook!Now available in paper;...
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Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster;
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Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data;
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Spark 2 leerwerkboek (incl. online oefenmateriaal en grammar summary);
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In November 2017 Ali Smith gave the annual Muriel Spark Lecture to kick off the Muriel Spark centenary celebrations. Those lucky enough to;
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