What are the roles of Sqoop and Flume in Hadoop?

Sqoop and Flume are two distinct tools within the Hadoop ecosystem, used for data transfer and data collection.

  1. Sqoop is a tool used to transfer data (import and export) to Hadoop. It helps users import data from relational databases into Hive or HDFS in Hadoop, and export data from Hadoop to relational databases. With Sqoop, users can easily import structured data from traditional databases into Hadoop for analysis and processing.
  2. Flume is a tool used for data collection, aggregation, and transmission. It can gather data in real-time from various sources such as web server logs, sensor data, etc., and transfer the data to Hadoop’s HDFS or other data storage systems. The main purpose of Flume is to assist users in collecting and transmitting massive amounts of data in real-time to support real-time data processing and analysis. Flume can be used to build data pipelines to achieve real-time flow and processing of data.
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