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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-step-by-step-guide-for-spark-pyspark/
课程评论：没有评论
课程名称：Apache Spark - PySpark 课程概述：本课程旨在教授最新的大数据技术Apache Spark及其与Python这一流行编程语言的协作。课程内容涵盖从基础到高级的数据分析知识，Apache Spark在大数据分析行业中备受追捧，许多顶尖公司如谷歌、Facebook、Netflix、Airbnb、亚马逊和NASA都在利用其解决数据挑战。与Hadoop MapReduce相比，Spark的性能提升高达100倍，促使对精通Spark的专业人才的需求激增。通过掌握Spark及其相对较新的DataFrame框架，您将能够在求职市场中脱颖而出。 在课程中，您将使用PySpark进行数据分析，探讨Spark RDDs、DataFrames以及可以对数据进行的各种转换和操作。课程还涵盖了Spark架构、数据源API和DataFrame API等基础知识。您将学习如何高效地将CSV文件以及简单和复杂的JSON文件摄取到数据湖中，作为parquet文件或数据表。 此外，课程深入探讨了PySpark中的重要转换，包括过滤、连接、简单聚合和groupBy操作，这些转换可以帮助您更有效地操作和分析数据。您还将学习如何创建本地和临时视图，以便更高效地组织和处理PySpark中的数据。课程内容全面，涵盖了从Spark架构到转换及视图创建等重要主题，帮助您成为熟练的PySpark开发者。 本课程提供超过150个简明的教程视频，全面阐述PySpark的概念和方法论。无论您是希望成为PySpark开发者还是提升大数据技能，这门课程都将是您不可或缺的选择。
Learn the latest Big Data technology, Apache Spark, and its collaboration with Python, one of the most popular programming languages. This comprehensive course covers everything from the basics to advanced levels of data analysis. Apache Spark is a highly sought-after technology in the Big Data analytics industry, with top companies like Google, Facebook, Netflix, Airbnb, Amazon, and NASA utilizing it to solve their data challenges. Its superior performance, up to 100 times faster than Hadoop MapReduce, has led to a surge in demand for professionals skilled in Spark.By mastering Spark and its DataFrame framework, which is relatively new and in high demand, you'll position yourself as a highly knowledgeable candidate in the job market.Throughout the course, you'll work with PySpark for data analysis, exploring Spark RDDs, DataFrames, and the various transformations and actions you can perform on data using them.In addition, the course covers essential topics such as Spark architecture, the Data Sources API, and the DataFrame API. You'll learn how to efficiently ingest CSV files, as well as simple and complex JSON files, into the data lake as parquet files or tables.The course also delves into important PySpark transformations, including filtering, joining, simple aggregations, groupBy operations. These transformations enable you to manipulate and analyze data effectively within PySpark.Furthermore, you'll gain expertise in creating local and temporary views, allowing you to organize and work with data more efficiently in PySpark.With a comprehensive coverage of topics ranging from Spark architecture to transformations, and view creation, this course equips you with the necessary skills to become a proficient PySpark Developer.With over 150 concise tutorial videos, this course provides a comprehensive understanding of the concepts and methodologies of PySpark. Whether you're aiming to become a PySpark Developer or enhance your Big Data skills, this course is a must-have.
