Added the ability to integrate the MemStore service when creating a cluster with the Hadoop Eco - Dataflow type.
For more details, refer to the Integrate MemStore documentation.
Enhanced cluster security by adding Kerberos and Ranger configurations.
For more information, see Configure Security Details.
Introduced the Dataflow type, enabling users to easily build pipelines for processing and analyzing streaming data.
For more information, see the Dataflow documentation.
Launched the Hadoop Eco service in the kr-central-2 region.
Hadoop Eco is a data analytics ecosystem based on Apache Hadoop, enabling users to perform diverse operations on large datasets efficiently.
It supports open-source analytics frameworks such as Hadoop, HBase, Spark, Hive, Trino, and Kafka.
For more details, refer to the Hadoop Eco official documentation.
Launched Hadoop Eco, a data analytics ecosystem designed to facilitate diverse operations on large datasets efficiently.
For more details, refer to the Hadoop Eco official documentation.