// databases-warehouses

Cloudera

Enterprise Data Cloud

Databases & Data WarehousesEnterprise Pricing★ 4.3

About Cloudera

Enterprise data cloud offering storage, processing, and exploration capabilities for any data. Focuses on enterprise-level data management and analytics with comprehensive support for Hadoop ecosystem, machine learning, and real-time analytics. Provides hybrid and multi-cloud deployment options.

Key Features

1Managed platform for Apache Hadoop, Spark, Hive, Impala, and Kafka
2Cloudera Data Platform (CDP) supports on-premise, cloud, and hybrid deployments
3Ranger and Atlas for security, governance, and data lineage
4SDX (Shared Data Experience) provides unified metadata and security across services
5Workload Manager for monitoring and optimization of cluster jobs

How Python Data Engineers Use Cloudera

Python data engineers on Cloudera platforms run PySpark jobs via YARN or use Cloudera's Jupyter Hub integration for notebook-based development. The Impyla library connects Python scripts to Impala for fast SQL queries on HDFS data, and the Cloudera Python SDK manages cluster operations and workflow scheduling programmatically.

Frequently Asked Questions

What is Cloudera used for?▾

Is Cloudera free to use?▾

Cloudera offers enterprise pricing pricing options.

What category does Cloudera belong to?▾

Cloudera is listed under the Databases & Data Warehouses category on Python Data Engineering.

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