|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/
课程评论：没有评论
课程名称：Spark与Python的大数据分析（PySpark） 课程概述：学习最新的大数据技术——Spark！并利用最流行的编程语言之一Python来掌握这一技术！分析海量数据集的能力是当今最有价值的技术技能之一，本课程专门为希望掌握Apache Spark这一最佳技术的学员设计。许多顶级技术公司如谷歌、Facebook、Netflix、Airbnb、亚马逊和NASA等都在使用Spark来解决大数据问题。相比于Hadoop MapReduce，Spark的性能可提升至100倍，这使得对这一技能的需求急剧增加！由于Spark 2.0数据框架相对较新，您现在有机会迅速成为求职市场上最具知识的人之一！ 本课程将从Python的基础知识开始，逐步学习如何使用Spark DataFrames和最新的Spark 2.0语法。课程中还将介绍如何利用MLlib机器学习库与DataFrame语法和Spark结合使用。在学习过程中，您将通过练习和模拟咨询项目，直接参与真实场景的解决，运用新技能解决实际问题！此外，我们还将涵盖最新的Spark技术，如Spark SQL、Spark Streaming以及先进模型如梯度提升树。 完成本课程后，您将能够自信地将Spark和PySpark添加到您的简历中！本课程提供30天全额退款保证，并附赠LinkedIn完成证书。如果您准备好进入Python、Spark和大数据的世界，那么这个课程就是为您量身定制的！
Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems! Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you'll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem! We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion! If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you!
