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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-pyspark-with-cloud-computing/
课程评论：没有评论
Coursera 上的“使用 PySpark、Spark Streaming、Spark ML 和 Kafka 进行大数据”课程总结： 本课程旨在帮助您掌握应对快速发展的数字行业所需的关键技能，特别是大数据框架在云环境中的部署和应用。您将深入学习强大的大数据处理框架 PySpark，并通过 Azure HDInsight、AWS EMR 和 GCP DataProc 等平台实践集群式云计算。 课程内容远超基础 PySpark，涵盖了 Spark Streaming、Spark Machine Learning、Kafka、IoT 等高级主题。您将深入理解 Spark 架构、DataFrame 和 RDD，并通过研究 40 多个 Spark 转换和操作方法来巩固知识。课程还通过高质量的视觉辅助材料，清晰地解析了 Spark Structured Streaming 中的 Tumbling Window、Sliding Window 和 Watermarking 等复杂概念。 为了让您充分掌握 Spark Streaming，课程提供了八个独立的实践示例。此外，您将学习大数据摄取和预处理的各个方面，以及 PySpark 中的 SQL 操作。在 Spark Machine Learning 部分，您将通过实际案例学习回归、聚类、决策树和主题建模等技术，并掌握使用 Pipelines 的方法。 加入“使用 PySpark、Spark Streaming、Spark ML 和 Kafka 进行大数据”课程，弥合您在数据架构和云计算方面的知识鸿沟，成为一名卓越的大数据专家。
In the 'Mastering PySpark with Cloud Computing' course, you will:Learn to navigate the rapidly evolving digital industry: As more businesses migrate to cloud services, understanding and deploying Big Data Frameworks on the cloud has become an essential skill set.Gain proficiency in PySpark and Cloud Computing: You will master PySpark, one of the most potent Big Data Frameworks, and learn cluster-based cloud computing on platforms such as Azure HDInsight, AWS EMR, and GCP DataProc.Expand your knowledge beyond basic PySpark: The course covers advanced topics including Spark Streaming, Spark Machine Learning, Kafka, IoT, and more.Understand Spark Architecture and RDD: You will learn about Spark Architecture, Dataframe, and Resilient Distributed Datasets (RDD) by exploring 40+ Spark Transformation and Action methods.Benefit from high-quality visual aids: Complex concepts will be simplified through visual aids. This includes a detailed analysis of Tumbling Window, Sliding Window, and Watermarking in Spark Structured Streaming.Get hands-on with Spark Streaming: The course provides eight distinct examples to solidify your understanding of Spark Streaming.Explore Big Data Ingestion and Pre-processing: You'll delve into the intricacies of Big Data Ingestion and Pre-processing, SQL in PySpark.Learn Spark Machine Learning with real-world examples: Gain practical knowledge with real-world examples of Regression, Clustering, Decision Trees, and Topic Modeling using Pipelines.Join our 'Mastering PySpark with Cloud Computing' course today to close any gaps in your knowledge of data architecture and cloud computing, and move forward in becoming a Big Data expert.
