This datasheet outlines Cloudera Data Engineering as an end-to-end solution for building and managing enterprise-grade data pipelines. Page 1 highlights challenges faced by data engineering teams, including siloed sources, orchestration complexity, security risk, and rising costs. The platform combines Apache Spark, Apache Iceberg, and Apache Airflow to support batch and streaming pipelines with built-in governance, lineage, and DataOps tooling. Diagrams show integration with the open data lakehouse and downstream analytics and AI services. Benefits include improved data quality, faster development cycles, reduced TCO, and scalable hybrid deployment.

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