Hadoop-Hive script with Oozie
Integrating Hadoop, Hive, and Oozie enables the automation and orchestration of data processing workflows in a Hadoop ecosystem. Hadoop is a distributed computing framework for processing large datasets across clusters, while Hive provides a SQL-like interface for querying and analyzing data stored in Hadoop Distributed File System (HDFS). Oozie is a workflow scheduler system for managing and coordinating Hadoop jobs. Combining these technologies allows users to define complex data processing pipelines using Hive scripts within Oozie workflows. In this setup, Oozie serves as the workflow coordinator, orchestrating the execution of Hive scripts and other Hadoop jobs in a defined sequence or dependency. Create a dataset
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