Advanced Apache Spark for Data Scientists and Developers | Data Science Online Course by Udemy

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Apache Spark

An excellent training about Data Science

Advanced Apache Spark for Data Scientists and Developers

Apache Spark is an open source data processing engine. Spark is designed to provide fast processing of large datasets, and high performance for a wide range of analytics applications. Unlike MapReduce, Spark enables in-memory cluster computing which greatly improves the speed of iterative algorithms and interactive data mining tasks. Adastra Academys Advanced Apache Spark includes illuminating video lectures, thorough application examples, a guide to install the NetBeans Integrated Development Environment, and quizzes. Through this course, you will learn about Sparks four built-in libraries – SparkStreaming, DataFrames (SparkSQL), MLlib and GraphX – and how to develop, build, tune, and debug Spark applications. The course exercises will enable you to become proficient at creating fully functional real-world applications using the Apache Spark libraries. Unlike other courses, we give you the guided and ground-up approach to learning Spark that you need in order to become an expert.

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