Cloudera Data Engineering is a comprehensive, cloud-native service designed for enterprise data engineering teams. It offers a complete toolset for streamlining and operationalizing data pipelines securely at any scale, built on Apache Spark and integrated with Apache Airflow for orchestration automation.

Key Features

Advanced Pipeline Monitoring Provides real-time insights into data pipeline performance

• Native monitoring and alerting capabilities
• Visual troubleshooting tools for quick issue resolution

Orchestration Automation Streamlines workflow management and execution

• Built on Apache Airflow
• Enables consistent, repeatable, and automated data engineering workflows

Comprehensive Management Tools Facilitates efficient ETL process management

• Capacity planning features
• Automatic lineage capture
• Troubleshooting across business use cases

Benefits

Enhanced Data Pipeline Efficiency Streamlines data delivery to various analytic teams

• Speeds up time to value
• Securely delivers quality datasets to Cloudera Data Warehouse, Cloudera AI, and other analytic tools

Improved Visibility and Control Offers holistic management of the data lifecycle

• Transparent operational control
• Cost management capabilities
• Full data pipeline visibility for data integrity protection

Seamless Integration Fully integrated with Cloudera's ecosystem

• End-to-end visibility and security with SDX
• Seamless integrations with other Cloudera data services