CDP Certified Data Developer

Course Modules

• Introduction to Cloudera Data Platform (CDP)

  • Overview of Cloudera Data Platform and its components
  • Understanding the roles of data developers in the CDP ecosystem
  • Exploring key tools and frameworks: Apache Spark, Hive, HBase, NiFi
  • The architecture of CDP and integration with Hadoop and other big data technologies

• Data Engineering with Apache Spark

  • Introduction to Apache Spark and its architecture
  • Developing distributed data processing jobs with Spark SQL and Spark Streaming
  • Optimizing Spark jobs for large-scale data processing
  • Integrating Spark with HDFS, Hive, and other CDP tools for data engineering

• Working with Cloudera Data Warehouse and Data Lakes

  • Implementing data warehouses and lakes in Cloudera Data Platform
  • Working with Apache Hive to manage and analyze large-scale datasets
  • Structuring data pipelines for batch and real-time processing
  • Integrating data lakes with Apache HBase and other storage systems

• Designing and Developing Data Pipelines

  • Designing scalable ETL (Extract, Transform, Load) pipelines using Apache NiFi and Apache Spark
  • Data transformation techniques using Spark and Hive
  • Best practices for developing and managing data pipelines on CDP
  • Handling data quality, consistency, and error management in data pipelines

• Advanced Data Processing with Apache Hive

  • Writing complex HiveQL queries to process structured and semi-structured data
  • Implementing partitioning and bucketing for better query performance
  • Optimizing Hive for large datasets and improving execution times
  • Integrating Apache HBase with Hive for real-time analytics

• Real-Time Data Analytics with Apache HBase

  • Introduction to Apache HBase and its role in real-time data processing
  • Integrating HBase with CDP for real-time, low-latency analytics
  • Managing HBase clusters for optimal performance and scalability
  • Writing HBase APIs to access and process data in real-time

• Developing Data Solutions with Apache NiFi

  • Using Apache NiFi for data ingestion, integration, and orchestration
  • Automating data movement across systems with NiFi processors
  • Integrating NiFi with other CDP tools to streamline data flow management
  • Developing data flows for real-time analytics and batch processing

• Data Security and Governance in CDP

  • Implementing data security and access control in Cloudera Data Platform
  • Understanding the role of Apache Ranger and Apache Sentry in data governance
  • Enforcing data privacy and regulatory compliance in CDP environments
  • Managing encryption and auditing for secure data handling

• Performance Tuning and Optimization in CDP

  • Optimizing data processing jobs for high efficiency and low latency
  • Tuning Spark, Hive, and HBase for better performance in large-scale environments
  • Using Cloudera Manager to monitor cluster health and troubleshoot issues
  • Best practices for managing large datasets and optimizing query performance

• Preparing for the CDP Data Developer Certification Exam

  • Key topics and exam preparation strategies for the CDP Data Developer certification
  • Understanding exam objectives and preparing through practical exercises
  • Review of sample questions and test-taking tips