NIFI HDFS

 NiFi is a powerful data integration tool that allows you to automate the flow of data between systems, applications, and devices. It provides a user-friendly interface for designing data flows and offers numerous processors to interact with various data sources and destinations. One of the capabilities of NiFi is its ability to interact with HDFS (Hadoop Distributed File System). Here’s how NiFi can be used with HDFS:

1. Data Ingestion from HDFS:

   • NiFi can ingest data from HDFS by using processors like “GetHDFS” or “FetchHDFS.” These processors allow you to specify a path in HDFS from which data should be fetched.

2. Data Transfer to HDFS:

   • NiFi can transfer data to HDFS using processors like “PutHDFS” or “PutParquet.” These processors enable you to specify the HDFS destination path and store data there.

3. Data Transformation:

   • NiFi provides processors for data transformation and enrichment. You can perform data transformations, format conversions, or data enrichment as data flows through NiFi before writing it to HDFS.

4. Data Routing and Filtering:

   • NiFi’s data routing processors allow you to filter, route, and direct data to different HDFS paths based on conditions or metadata.

5. Data Quality and Validation:

   • You can use NiFi processors to perform data quality checks and validation before writing data to HDFS to ensure data integrity.

6. Data Compression and Encryption:

   • NiFi supports processors for data compression and encryption, which can be useful when storing data in HDFS to optimize storage or enhance security.

7. Data Integration with Other Systems:

   • NiFi can integrate data from various sources, including databases, message queues, APIs, and more, and seamlessly store it in HDFS for further analysis.

8. Data Replication:

   • NiFi can be used to replicate data between HDFS clusters, ensuring data redundancy and disaster recovery.

9. Data Monitoring and Management:

   • NiFi provides a web-based interface for monitoring data flows, tracking data lineage, and managing data ingestion and transfer processes.