CDESS study materials
CDESS study resources

CDESS case studies

CDESS · Put your knowledge to work in context.

The CDESS designation refers to the Cloudera Data Engineering Specialty credential, one of the specialty certifications Cloudera lists under its certification program. Cloudera's own certification page describes the program as part of its training and support offerings, and the vendor's product navigation places Data Engineering within the Open Data Lakehouse product family alongside Apache Iceberg, Data Warehouse, and Operational Database, with Data in Motion covering Data Flow, Streaming, and Edge Management, and Shared Data Experience covering the Data Catalog. The CDESS case studies are 5 cases and about 3,061 words.

1

Nightly Spark Join Misses Finance SLA

A retail company runs a nightly Spark batch on CDP that joins a 2.4 TB sales fact table (about 18 billion rows) to a 40 MB store dimension. The job must publish by 06:00 for finance.

573 words, about 3 min
2

Flink Kafka Rebalances and Duplicate Iceberg Sink Files

An ad platform ingests 90,000 click events/sec into a Kafka topic with 48 partitions. A Flink SQL job computes 10-minute session windows and writes impressions to an Iceberg sink with exactly-once requirements.

690 words, about 3 min
3

Iceberg Small-File Compaction Versus Audit Retention

A lakehouse stores 3.2 TB of clickstream in an Iceberg v2 table partitioned by days(event ts) and bucket(16, user id). Streaming ingestion commits every 30 seconds and creates roughly 2,000 small Parquet files per day.

638 words, about 3 min
4

Ranger Masking Bypassed by a Public Sandbox Policy

A CDP Private Cloud Base cluster with 240 nodes uses Active Directory over LDAP for users and groups, Kerberos for authentication, and Ranger for authorization. The AD group fin analysts is nested inside finance all.

517 words, about 3 min
5

CDE Orchestration: Late Data, Backfills, and a Schema Change

A Cloudera Data Engineering virtual cluster runs 14 Spark jobs orchestrated by Airflow. The DAG has a row count check task that queries Hive and fails if today's orders partition is below 90% of the 7-day average.

643 words, about 3 min