Cloudera Data Engineer Certification Training for CDP-3002 Course

Module-0 Cloudera Data Engineer

Section-0 Cloudera Data Engineer

Module-1 Fundamentals of Spark on Kubernetes with Cloudera Data Engineering

Section-1 Fundamentals of Spark on Kubernetes with Cloudera Data Engineering

Module-2 Mastering Apache Spark DataFrames The Core of Data Engineering

Section-2 Mastering Apache Spark DataFrames The Core of Data Engineering

Module-3 Mastering Spark Understanding Distributed Processing

Section-3 Mastering Spark Understanding Distributed Processing

Module-4 Spark and Hive Integration Implementing the Hive Warehouse Connector

Section-4 Spark and Hive Integration Implementing the Hive Warehouse Connector

Module-5 Mastering Spark Distributed Persistence

Section-5 Mastering Spark Distributed Persistence

Module-6 Mastering Spark Structured Streaming for Real-time Data

Section-6 Mastering Spark Structured Streaming for Real-time Data

Module-7 Implementing Error Handling and Dead Letter Queues in Spark

Section-7 Implementing Error Handling and Dead Letter Queues in Spark

Module-8 Optimising Spark Broadcast Variables and Accumulators

Section-8 Optimising Spark Broadcast Variables and Accumulators

Module-9 Mastering Spark Dynamic Resource Allocation

Section-9 Mastering Spark Dynamic Resource Allocation

Module-10 Mastering Complex Data Types in Apache Spark

Section-10 Mastering Complex Data Types in Apache Spark

Module-11 Implementing Incremental Extraction in Apache Airflow on Cloudera Data Engineering

Section-11 Implementing Incremental Extraction in Apache Airflow on Cloudera Data Engineering

Module-12 Orchestrating ETL Pipelines with Apache Airflow in Cloudera Data Engineering

Section-12 Orchestrating ETL Pipelines with Apache Airflow in Cloudera Data Engineering

Module-13 Automating Data Quality Checks with Apache Airflow in Cloudera Data Engineering

Section-13 Automating Data Quality Checks with Apache Airflow in Cloudera Data Engineering

Module-14 Orchestrating Workflows in Cloudera Data Engineering with Apache Airflow

Section-14 Orchestrating Workflows in Cloudera Data Engineering with Apache Airflow

Module-15 Configuring Airflow Pipelines and Data Passing in Cloudera Data Engineering

Section-15 Configuring Airflow Pipelines and Data Passing in Cloudera Data Engineering

Module-16 Implementing Airflow Operators and Hooks in Cloudera Data Engineering

Section-16 Implementing Airflow Operators and Hooks in Cloudera Data Engineering

Module-17 Managing Connections and Secrets in CDE Airflow

Section-17 Managing Connections and Secrets in CDE Airflow

Module-18 Utilizing Dynamic DAG Generation in Cloudera Data Engineering

Section-18 Utilizing Dynamic DAG Generation in Cloudera Data Engineering

Module-19 Optimizing Airflow in CDE SLAs Alerts and Callbacks

Section-19 Optimizing Airflow in CDE SLAs Alerts and Callbacks

Module-20 Basic Tools for Spark Performance Tuning in Cloudera Data Engineering

Section-20 Basic Tools for Spark Performance Tuning in Cloudera Data Engineering

Module-21 Performance Tuning Optimization Frameworks and Explain Plans

Section-21 Performance Tuning Optimization Frameworks and Explain Plans

Module-22 Performance Tuning Understanding and Managing Schema Inference

Section-22 Performance Tuning Understanding and Managing Schema Inference

Module-23 Performance Tuning Improving Join Performance in Cloudera Data Platform

Section-23 Performance Tuning Improving Join Performance in Cloudera Data Platform

Module-24 Performance Tuning Leveraging Data Caching for Reuse

Section-24 Performance Tuning Leveraging Data Caching for Reuse

Module-25 Performance Tuning Partitioned and Bucketed Tables

Section-25 Performance Tuning Partitioned and Bucketed Tables

Module-26 Performance Tuning Mitigating Data Skew with Salting in CDE

Section-26 Performance Tuning Mitigating Data Skew with Salting in CDE

Module-27 Spark Performance Tuning Shuffle Partitions and Memory

Section-27 Spark Performance Tuning Shuffle Partitions and Memory

Module-28 Optimizing File I O Parquet Avro and Storage Strategies

Section-28 Optimizing File I O Parquet Avro and Storage Strategies

Module-29 Identifying Spark Bottlenecks via Spark UI and Event Logs in CDE

Section-29 Identifying Spark Bottlenecks via Spark UI and Event Logs in CDE

Module-30 Performance Tuning Predicate Pushdown Column Projection

Section-30 Performance Tuning Predicate Pushdown Column Projection

Module-31 Performance Tuning Managing Small Files and Compaction in CDP

Section-31 Performance Tuning Managing Small Files and Compaction in CDP

Module-32 Programmatic Deployment in CDP Mastering API and CLI

Section-32 Programmatic Deployment in CDP Mastering API and CLI

Module-33 Deployment Workflows in Cloudera Data Engineering

Section-33 Deployment Workflows in Cloudera Data Engineering

Module-34 Implementing CI CD Pipelines for Data Artifacts in CDP

Section-34 Implementing CI CD Pipelines for Data Artifacts in CDP

Module-35 Managing Secret Storage and Environment Configurations in CDP

Section-35 Managing Secret Storage and Environment Configurations in CDP

Module-36 Monitoring Workloads in CDP with Prometheus and Grafana

Section-36 Monitoring Workloads in CDP with Prometheus and Grafana

Module-37 Mastering Apache Iceberg in Cloudera Data Platform

Section-37 Mastering Apache Iceberg in Cloudera Data Platform

Module-38 Mastering Iceberg Schema and Partition Evolution

Section-38 Mastering Iceberg Schema and Partition Evolution

Module-39 Implementing Time Travel and Snapshot Maintenance in Iceberg

Section-39 Implementing Time Travel and Snapshot Maintenance in Iceberg

Module-40 Optimizing Iceberg Tables with Hidden Partitioning

Section-40 Optimizing Iceberg Tables with Hidden Partitioning

Unlimited Learning, One Price $299 / ₹23,999

Cloudera Data Engineer Certification Training for CDP-3002

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