使用Spark进行快速数据处理 Chapter 1: Installing Spark and Setting Up Your Cluster Chapter 2: Using the Spark Shell Chapter 3: Building and Running a Spark Application Chapter 4: Creating a SparkContext Chapter 5: Loading and Saving Data in Spark Chapter 6: Ma
Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data ana
Workshop spark-in-practice In this workshop the exercises are focused on using the Spark core and Spark Streaming APIs, and also the dataFrame on data processing. Exercises are available both in Java and Scala on my github account (here in java). Yo
Through the material front to back. At the start of each chapter, we will mention which sections we think are most relevant to data scientists and which sections we think are most relevant for engineers. That said, we hope that all the material is a
Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introd
20/02/20 19:52:17 ERROR spark.SparkContext: Error initializing SparkContext.
java.lang.IllegalArgumentException: System memory 259522560 must be at least 471859200. Please increase heap size using the --driver-memory option or spark.driver.memory in
