Description
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.
