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6. Transformations and Actions Copy Text Copied Use a different Browser “”” Transformations (Lazy): – map() – filter() – flatMap() – union() Actions (Eager): – collect() – count() – take() – first() “”” 7. Reading CSV File Copy Text Copied Use a different Browser # Basic read df = spark.read.csv(“path/to/file.csv”) # With options df = … Read more
A deep dive into PySpark fundamentals, offering a thorough exploration of distributed data processing using Apache Spark with Python. This comprehensive guide covers essential concepts from ground up, including DataFrame operations, RDD transformations, data manipulation techniques, and optimization strategies. Perfect for beginners starting their big data journey and intermediate developers looking to solidify their PySpark … Read more
When working with AWS S3, granting proper permissions to create roles is essential for managing resources securely and efficiently. To create roles for S3, users need the necessary permissions, typically achieved through AWS Identity and Access Management (IAM). By assigning the appropriate IAM policies, users can authorize individuals or groups to create and manage roles … Read more
Amazon S3 Intelligent-Tiering: Simple Data Management and Cost Savings What is S3 Intelligent-Tiering? Amazon S3 Intelligent-Tiering is a storage class provided by AWS (Amazon Web Services) that helps users manage their data more efficiently in the cloud. It is designed to automatically optimize storage costs and ensure easy access to data based on its usage … Read more
In the vast landscape of cloud computing, Amazon Simple Storage Service (S3) stands tall as one of the most popular and versatile cloud storage solutions. AWS S3 provides an easy-to-use, scalable, and secure storage infrastructure for businesses and individuals alike. In this blog post, we’ll take you on a journey to demystify AWS S3, explaining … Read more