Udemy - Course Cloudera Data Engineer Certification CDP-DE 2026 a...

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Language English
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Course Cloudera Data Engineer Certification CDP-DE 2026&Book

https://WebToolTip.com

Published 1/2026
Created by HadoopExam Learning Resources
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 41 Lectures ( 5h 4m ) | Size: 1.66 GB

Exam style Q&A covering Spark on Kubernetes, Apache Airflow, Iceberg, Performance Tuning, Pipelines & Product + eBook

What you'll learn
✓ Design reliable data models on Cloudera Data Platform (CDP) using Apache Iceberg with ACID, time-travel, and schema evolution.
✓ Build and optimize Apache Spark pipelines (DataFrame/Spark SQL) on Kubernetes, with correct executor sizing and shuffle strategy.
✓ Implement incremental ETL/CDC patterns and idempotent upserts using Spark MERGE, checkpoints, and watermarking.
✓ Tune Spark jobs for performance: fix skewed joins, enable AQE, prune partitions/columns, and reduce small files via compaction.
✓ Choose effective partitioning, bucketing, and file-size targets for large fact tables to balance cost and speed.
✓ Orchestrate pipelines with Apache Airflow: production-grade DAG design, retries/SLAs, alerts, and pre/post-load data quality checks.
✓ Secure and operate pipelines on CDP with least-privilege access, secrets management, monitoring dashboards, and auditability.
✓ Deploy and promote jobs via the CDP Data Engineering Service (DES) CLI/API, including blue/green and canary releases.
✓ Diagnose failures quickly from Spark UI and Airflow logs; run safe rollbacks and targeted backfills.
✓ Apply real exam patterns for the CDP Data Engineer certification: topic weightings, common traps, and time-saving strategies.
✓ Map business queries to efficient table formats (Parquet vs Iceberg) and choose the right catalog/integration approach.
✓ Measure success with concrete KPIs: wall-clock time, shuffle MB, task p95, data freshness, and DQ pass rates.

Requirements
● No strict prerequisites — this course is interview-style and exam-focused. You can join as a motivated beginner.
● Basic knowledge of SQL (SELECT, JOIN, GROUP BY) and data warehousing terms. (optional)
● Familiarity with Apache Spark concepts (DataFrames, transformations vs. actions). (optional)
● High-level understanding of Apache Airflow (DAGs, retries, alerts) and CI/CD ideas. (optional)
● Comfort reading technical artifacts like Spark UI screenshots or Airflow logs. (optional)

                Files: 

                [ WebToolTip.com ] Udemy - Course Cloudera Data Engineer Certification CDP-DE 2026 and Book
Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !1 - Spark (48%)1. Module 1 Fundamentals of Spark on Kubernetes with Cloudera Data Engineering.mp4 (42.7 MB)
Module 1 Fundamentals of Spark on Kubernetes with Cloudera Data Engineering.pdf (203.5 KB)
Module 10 Mastering Complex Data Types in Apache Spark.mp4 (36.0 MB)
Module 10 Mastering Complex Data Types in Apache Spark.pdf (144.2 KB)
Module 2 Mastering Apache Spark DataFrames The Core of Data Engineering.mp4 (38.6 MB)
Module 2 Mastering Apache Spark DataFrames The Core of Data Engineering.pdf (172.5 KB)
Module 3 Mastering Spark Understanding Distributed Processing.mp4 (47.0 MB)
Module 3 Mastering Spark Understanding Distributed Processing.pdf (165.0 KB)
Module 4 Spark and Hive Integration Implementing the Hive Warehouse Connector.mp4 (37.8 MB)
Module 4 Spark and Hive Integration Implementing the Hive Warehouse Connector.pdf (146.7 KB)
Module 5 Mastering Spark Distributed Persistence.mp4 (48.6 MB)
Module 5 Mastering Spark Distributed Persistence.pdf (187.4 KB)
Module 6 Mastering Spark Structured Streaming for Real time Data.mp4 (47.0 MB)
Module 6 Mastering Spark Structured Streaming for Real time Data.pdf (158.5 KB)
Module 7 Implementing Error Handling and Dead Letter Queues in Spark.mp4 (45.3 MB)
Module 7 Implementing Error Handling and Dead Letter Queues in Spark.pdf (200.9 KB)
Module 8 Optimising Spark Broadcast Variables and Accumulators.mp4 (40.9 MB)
Module 8 Optimising Spark Broadcast Variables and Accumulators.pdf (177.9 KB)
Module 9 Mastering Spark Dynamic Resource Allocation.mp4 (37.3 MB)
Module 9 Mastering Spark Dynamic Resource Allocation.pdf (209.3 KB)
- Airflow (10%)11. Module 11 Implementing Incremental Extraction in Apache Airflow on Cloudera Data Engineering.pdf (160.6 KB)
Module 11 Implementing Incremental Extraction in Apache Airflow on Cloudera Data.mp4 (34.0 MB)
Module 12 Orchestrating ETL Pipelines with Apache Airflow in Cloudera Data Engin.mp4 (45.1 MB)
Module 12 Orchestrating ETL Pipelines with Apache Airflow in Cloudera Data Engineering.pdf (173.0 KB)
Module 13 Automating Data Quality Checks with Apache Airflow in Cloudera Data En.mp4 (42.4 MB)
Module 13 Automating Data Quality Checks with Apache Airflow in Cloudera Data Engineering.pdf (154.0 KB)
Module 14 Orchestrating Workflows in Cloudera Data Engineering with Apache Airfl.mp4 (36.9 MB)
Module 14 Orchestrating Workflows in Cloudera Data Engineering with Apache Airflow.pdf (175.8 KB)
Module 15 Configuring Airflow Pipelines and Data Passing in Cloudera Data Engine.mp4 (38.2 MB)
Module 15 Configuring Airflow Pipelines and Data Passing in Cloudera Data Engineering.pdf (157.8 KB)
Module 16 Implementing Airflow Operators and Hooks in Cloudera Data Engineering.mp4 (40.9 MB)
Module 16 Implementing Airflow Operators and Hooks in Cloudera Data Engineering.pdf (167.6 KB)
Module 17 Managing Connections and Secrets in CDE Airflow.mp4 (32.1 MB)
Module 17 Managing Connections and Secrets in CDE Airflow.pdf (163.2 KB)
Module 18 Utilizing Dynamic DAG Generation in Cloudera Data Engineering.mp4 (40.8 MB)
Module 18 Utilizing Dynamic DAG Generation in Cloudera Data Engineering.pdf (160.6 KB)
Module 19 Optimizing Airflow in CDE SLAs Alerts and Callbacks.mp4 (33.6 MB)
Module 19 Optimizing Airflow in CDE SLAs Alerts and Callbacks.pdf (170.6 KB)
- Deployment (10%)20. Module 20 Basic Tools for Spark Performance Tuning in Cloudera Data Engineering.mp4 (35.4 MB)
Module 20 Basic Tools for Spark Performance Tuning in Cloudera Data Engineering.pdf (176.4 KB)
Module 21 Performance Tuning Optimization Frameworks and Explain Plans.mp4 (36.0 MB)
Module 21 Performance Tuning Optimization Frameworks and Explain Plans.pdf (171.5 KB)
Module 22 Performance Tuning Understanding and Managing Schema Inference.mp4 (38.0 MB)
Module 22 Performance Tuning Understanding and Managing Schema Inference.pdf (178.4 KB)
Module 23 Performance Tuning Improving Join Performance in Cloudera Data Platfor.mp4 (44.7 MB)
Module 23 Performance Tuning Improving Join Performance in Cloudera Data Platform.pdf (194.6 KB)
Module 24 Performance Tuning Leveraging Data Caching for Reuse.mp4 (35.9 MB)
Module 24 Performance Tuning Leveraging Data Caching for Reuse.pdf (179.6 KB)
Module 25 Performance Tuning Partitioned and Bucketed Tables.mp4 (40.0 MB)
Module 25 Performance Tuning Partitioned and Bucketed Tables.pdf (179.4 KB)
Module 26 Performance Tuning Mitigating Data Skew with Salting in CDE.mp4 (32.5 MB)
Module 26 Performance Tuning Mitigating Data Skew with Salting in CDE.pdf (156.6 KB)
Module 27 Spark Performance Tuning Shuffle Partitions and Memory.mp4 (35.3 MB)
Module 27 Spark Performance Tuning Shuffle Partitions and Memory.pdf (189.7 KB)
Module 28 Optimizing File I O Parquet Avro and Storage Strategies.mp4 (42.8 MB)
Module 28 Optimizing File I O Parquet Avro and Storage Strategies.pdf (166.1 KB)
Module 29 Identifying Spark Bottlenecks via Spark UI and Event Logs in CDE.mp4 (35.7 MB)
Module 29 Identifying Spark Bottlenecks via Spark UI and Event Logs in CDE.pdf (191.3 KB)
Module 30 Performance Tuning Predicate Pushdown & Column Projection.mp4 (38.3 MB)
Module 30 Performance Tuning Predicate Pushdown Column Projection.pdf (177.1 KB)
Module 31 Performance Tuning Managing Small Files and Compaction in CDP.mp4 (39.3 MB)
Module 31 Performance Tuning Managing Small Files and Compaction in CDP.pdf (187.3 KB)
Module 32 Programmatic Deployment in CDP Mastering API and CLI.mp4 (43.8 MB)
Module 32 Programmatic Deployment in CDP Mastering API and CLI.pdf (201.0 KB)
Module 33 Deployment Workflows in Cloudera Data Engineering.mp4 (34.8 MB)
Module 33 Deployment Workflows in Cloudera Data Engineering.pdf (167.4 KB)
Module 34 Implementing CI CD Pipelines for Data Artifacts in CDP.mp4 (42.6 MB)
Module 34 Implementing CI CD Pipelines for Data Artifacts in CDP.pdf (191.6 KB)
Module 35 Managing Secret Storage and Environment Configurations in CDP.mp4 (39.1 MB)
Module 35 Managing Secret Storage and Environment Configurations in CDP.pdf (168.9 KB)
Module 36 Monitoring Workloads in CDP with Prometheus and Grafana.mp4 (46.3 MB)
Module 36 Monitoring Workloads in CDP with Prometheus and Grafana.pdf (192.5 KB)
- Iceberg (10%)37. Module 37 Mastering Apache Iceberg in Cloudera Data Platform.mp4 (45.6 MB)
Module 37 Mastering Apache Iceberg in Cloudera Data Platform.pdf (179.0 KB)
Module 38 Mastering Iceberg Schema and Partition Evolution.mp4 (39.4 MB)
Module 38 Mastering Iceberg Schema and Partition Evolution.pdf (188.6 KB)
Module 39 Implementing Time Travel and Snapshot Maintenance in Iceberg.mp4 (35.5 MB)
Module 39 Implementing Time Travel and Snapshot Maintenance in Iceberg.pdf (161.5 KB)
Module 40 Optimizing Iceberg Tables with Hidden Partitioning.mp4 (38.3 MB)
Module 40 Optimizing Iceberg Tables with Hidden Partitioning.pdf (196.0 KB)
- Practice Paper for Cloudera Data Engineer Certification1. Practice Paper 1.html (165.3 KB)
Practice Paper 2.html (169.8 KB)
- eBook Download (PDF) format In Resource Section41. Download eBook from Resource Section of this Module.mp4 (42.7 MB)
udemy book.pdf (64.6 MB)
Bonus Resources.txt (0.1 KB)

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