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Programming in Scala, 2nd Edition: A comprehensive step-by-step guide. Read and Download Links: Programming in Scala: A comprehensive step-by-step guide (Martin Odersky, et al) The Mirror Site (1) - PDF (547 page, 4.9 MB) Data Science/Databases. Electronic Engineering. Java and Java EE (J2EE) Linux and Unix. Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. Here is a great collection of eBooks written on the topics of Data Science, Business Analytics, Data Mining, Big Data, Machine Learning, Algorithms, Data Science Tools, and Programming Languages for Data Science. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating Apache Spark 6 Data Sharing using Spark RDD Data sharing is slow in MapReduce due to replication, serialization, and disk IO. Most of the Hadoop applications, they spend more than 90% of the time doing HDFS read-write operations. Recognizing this problem, researchers developed a specialized framework called Apache Spark. Scala will be a valuable tool to have on hand during your data science journey for everything from data cleaning to cutting-edge machine learning About This Book • Build data science and data engineering solutions with ease • An in-depth look at each stage of the data analysis process - from reading and collecting data to distributed analytics • Explore a broad variety of data processing
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