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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pyspark-and-sparksql/
课程评论：没有评论
Coursera 课程《理解 PySpark 与 SparkSQL》是一门旨在帮助学员掌握 Spark 这一强大计算工具的课程。 **课程亮点：** * **BIG DATA 核心技能：** 学习 PySpark 在大数据处理中的关键作用，为在大数据分析领域脱颖而出做好准备。 * **实践导向：** 提供在 Google Colab 上设置 PySpark 的详细指南，确保从一开始就能进行实际操作。 * **深入了解核心概念：** * **RDDs：** 学习如何创建和操作 RDDs，包括使用 Python 和 lambda 函数，以及掌握高级转换技术。 * **DataFrames：** 掌握 DataFrames 的创建、操作，以及如何从 esquema 和 CSV 文件创建 DataFrames，并能将其转换为 Pandas DataFrames。 * **SparkSQL 实战：** 学习使用 SparkSQL 创建 DataFrames，应用 groupBy 和聚合技术，进行精确的数据过滤，并能直接在 PySpark 中执行 SQL 查询。 **课程目标：** 通过本课程，学员将能够： * 理解 Spark 计算的强大能力。 * 熟练运用 PySpark 进行大数据处理。 * 掌握 DataFrame 和 RDD 的核心操作。 * 运用 SparkSQL 进行高效的数据查询和分析。 本课程适合希望提升在大数据领域竞争力的学习者，助力成为 PySpark 专家。
Do you know the transformative power of Spark computing? If you're ready to stand out in the competitive world of data science and big data analytics, this course is your gateway to mastering this essential skill.This single course will teach you the fundamentals and more about PySpark and SparkSQL.In Section 1, you'll embark on an exciting journey into the world of PySpark, starting with an engaging introduction that highlights its critical role in big data processing. You'll explore the fundamental components of Spark and learn how to set up PySpark on Google Colab, ensuring you're equipped for hands-on practice from day one.Section 2 delves deep into the core concepts of DataFrames and RDDs. You'll uncover what DataFrames are, their importance, and how to create and manipulate RDDs with Python and lambda functions. This section also covers advanced transformation techniques, enabling you to perform complex data manipulations with ease.In Section 3, we focus on PySpark DataFrames, providing you with the expertise to create DataFrames from schemas and CSV files, and seamlessly convert PySpark DataFrames to Pandas DataFrames. These skills are crucial for versatile data manipulation and analysis, setting you apart as a data professional.Finally, Section 4 introduces you to SparkSQL, where you'll learn to create DataFrames, apply groupBy and aggregation techniques, and filter data with precision. You'll also gain the ability to execute pure SQL queries within PySpark, enhancing your data querying capabilities.Join us now and elevate your data processing skills to new heights with our PySpark course. Equip yourself with the knowledge and expertise to excel in the fast-paced world of big data, and distinguish yourself from the crowd. Enroll today and become a PySpark PRO!
