🔥Professional Certificate Program in Data Engineering - [ Ссылка ]
🔥IITK - Professional Certificate Course in Data Science (India Only) - [ Ссылка ]
🔥Caltech Post Graduate Program in Data Science - [ Ссылка ]

This HDFS tutorial will help you understand the need for HDFS (Hadoop Distributed File System), the companies using HDFS, the challenges that were faced with big data, HDFS architecture, HDFS data blocks, replication factor, read/write mechanism and a small demo which shows the HDFS commands. Big data storage was not possible using traditional storage systems and hence a distributed storage approach was done to combat this problem of Big data. This distributed approach is known as HDFS. We will also see how data is stored in HDFS, how data replication is done in HDFS which makes it fault tolerant, and look into the HDFS architecture in detail. We will see how to read and write data using HDFS. Now, let us get started with Hadoop Distributed File System.

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➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.

✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered
- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

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