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

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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:
🎥 Master Apache Spark for Data Engineering | Step-by-Step Guide:
🎥 Free Data Engineering Bootcamp Playlist:
ITVersity Resources:
🧑💻 Enroll for Labs:
🔔 Subscribe to Our YouTube Channel for Tutorials:
📚 Access Free Content on GitHub:
Connect With Me:
#BigData #HDFS #DBFS #DataEngineering #ApacheSpark #AWS #Azure #DataStorage #BigDataFileSystems #ITVersity
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:
🎥 Master Apache Spark for Data Engineering | Step-by-Step Guide:
🎥 Free Data Engineering Bootcamp Playlist:
ITVersity Resources:
🧑💻 Enroll for Labs:
🔔 Subscribe to Our YouTube Channel for Tutorials:
📚 Access Free Content on GitHub:
Connect With Me:
#BigData #HDFS #DBFS #DataEngineering #ApacheSpark #AWS #Azure #DataStorage #BigDataFileSystems #ITVersity
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