|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/spark-python/
课程评论：没有评论
课程名称：Apache Spark与Python - 实践学习 课程概述：您是否希望提升职业发展，而学习Apache Spark会有所帮助？毫无疑问，Apache Spark是一项需求量大的技能，薪资较高。本课程将帮助您达到这一目标，准备求职面试和技术交流。课程结束后，您可以在简历中更新各种Apache Spark的经验。或者，您可能需要快速学习Apache Spark以应对当前或即将到来的项目。本课程将使您在使用Apache Spark时更加自信和高效。课程重点是您需要认真投入学习，专注于需要完成的工作。 本课程使用Python，这是一种适合初学者和行业老手的有趣且动态的编程语言。通过此课程，您将建立坚实的基础，以便在Apache Spark这个激动人心的领域加速职业发展。 为何选择此课程？诚然，您可以在网上找到免费的Apache Spark学习资料，但这些材料适合有时间的学习者。本课程为您节省时间和精力，采用循序渐进的方式，基于前面的课程进行学习。幻灯片展示很少。该课程适合需要系统、有序地学习Spark的人。如果您希望有更学术的学习方式，涵盖4-5小时的相关讲座，可以选择其他课程。 本课程强调运行源代码示例，所有示例代码均可下载，以便您在课程中或结束后进行执行、实验和自定义。课程覆盖超过50个实际操作示例，首先在本地运行，然后在云计算服务（如亚马逊EC2）上部署。 课程内容包括但不限于： - Spark作为大数据和数据科学的强大工具的特点 - 学习Spark的基本概念，包括弹性分布式数据集（RDD）、Spark操作和转换 - 在本地环境和Amazon EC2集群中运行Spark - 将Python应用程序部署到Spark集群 - 探索使用CSV、JSON和mySQL（JDBC）数据源的Spark SQL - 提供所有源代码的方便链接下载 - 通过多个测验和课程回顾加强理解 此课程将帮助您在Apache Spark的学习旅程中走得更远，更快。
Would you like to advance your career and learning Apache Spark will help?There's no doubt Apache Spark is an in-demand skillset with higher pay. This course will help you get there. This course prepares you for job interviews and technical conversations. At the end of this course, you can update your resume or CV with a variety of Apache Spark experiences.Or maybe you need to learn Apache Spark quickly for a current or upcoming project?How can this course help?You will become confident and productive with Apache Spark after taking this course. You need to be confident and productive in Apache Spark to be more valuable.Now, I'm not going to pretend here. You are going to need to put in work. This course puts you in a position to focus on the work you will need to complete.This course uses Python, which is a fun, dynamic programming language perfect for both beginners and industry veterans.At the end of this course, you will have rock solid foundation to accelerate your career and growth in the exciting world of Apache Spark.Why choose this course?Let's be honest. You can find Apache Spark learning material online for free. Using these free resources is okay for people with extra time.This course saves your time and effort. It is organized in a step-by-step approach that builds upon each previous lessons. PowerPoint presentations are minimal.The intended audience of this course is people who need to learn Spark in a focused, organized fashion. If you want a more academic approach to learning Spark with over 4-5 hours of lectures covering the same material as found here, there are other courses on Udemy which may be better for you.This Apache Spark with Python course emphasizes running source code examples.All source code examples are available for download, so you can execute, experiment and customize for your environment after or during the course.This Apache Spark with Python course covers over 50 hands-on examples. We run them locally first and then deploy them on cloud computing services such as Amazon EC2.The following will be covered and more:What makes Spark a power tool of Big Data and Data Science?Learn the fundamentals of Spark including Resilient Distributed Datasets, Spark Actions and TransformationsRun Spark in a Cluster in your local environment and Amazon EC2Deploy Python applications to a Spark ClusterExplore Spark SQL with CSV, JSON and mySQL (JDBC) data sourcesConvenient links to download all source codeReinforce your understanding through multiple quizzes and lecture recap
