Understanding Big Data File Systems - HDFS and DBFS | Data Engineering

Before diving into Data Ingestion using NiFi and Data Processing using Spark, let’s explore the File Systems used in the Big Data ecosystem. This session covers both on-premises and cloud-based file systems, along with their architecture, commands, and customization options. Topics Covered: ✔️ Understanding Storage Servers ✔️ List of File Systems ✔️ Hadoop Storage (HDFS) Overview ✔️ HDFS Architecture and Commands ✔️ Customizing HDFS Properties ✔️ Overview of DBFS Commands ✔️ Managing Files on AWS S3 and Azure Blob 📌 Note: Similar to HDFS and DBFS, file management on AWS S3 or Azure Blob can be done using platform-specific commands and web interfaces. Useful Resources: 📚 Material for This Session:: https://github.com/dgadiraju/itversit... 🎥 Master Apache Spark for Data Engineering | Step-by-Step Guide: 👉    • Master Apache Spark for Data Engineering |...   🎥 Free Data Engineering Bootcamp Playlist: 👉    • Free Data Engineering Bootcamp using Hadoo...   ITVersity Resources: 🧑‍💻 Enroll for Labs: 👉 https://labs.itversity.com/plans 🔔 Subscribe to Our YouTube Channel for Tutorials: 👉 http://youtube.com/itversityin/?sub_c... 📚 Access Free Content on GitHub: 👉 https://github.com/dgadiraju/itversit... Connect With Me: 🌐 LinkedIn:   / durga0gadiraju   🌐 Facebook:   / itversity   🌐 GitHub: https://github.com/dgadiraju 🌐 YouTube:    / itversityin   🌐 Twitter:   / itversity   #BigData #HDFS #DBFS #DataEngineering #ApacheSpark #AWS #Azure #DataStorage #BigDataFileSystems #ITVersity