How to share and transfer Hadoop data between multiple applications?

To share and transfer Hadoop data between multiple applications, you can utilize the following methods:

1. Different applications can access and process data through HDFS by storing data using Hadoop’s HDFS and utilizing computing frameworks like MapReduce or Spark provided by Hadoop.
2. Utilize Hadoop’s Hive or HBase to manage and query data. Hive is a query language similar to SQL that makes it easy to perform data queries and analysis, while HBase is a distributed NoSQL database able to store large amounts of structured data.
3. Utilize the Sqoop tool to transfer data from relational databases (such as MySQL or Oracle) to Hadoop, or from Hadoop to relational databases.
4. Utilizing Flume or Kafka for real-time data stream transmission and processing, allows for the collection of data from various applications in real-time to be analyzed in Hadoop.
5. Utilize workflow scheduling tools like Oozie to schedule data transfer and processing processes between different applications, achieving automated handling and transmission of data.