CDP Certified Data Developer Course
- Duration: 40 hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The CDP Certified Data Developer course is designed to equip data professionals with the skills necessary to build, optimize, and manage data applications on the Cloudera Data Platform (CDP). This training focuses on end-to-end data development, including data ingestion, transformations, processing, and data modeling using modern data engineering tools. Participants will gain hands-on experience working with Spark, SQL, and CDP ecosystem services to create scalable data solutions that support analytics, machine learning, and business intelligence workflows.
Course Details
- Comprehensive understanding of data engineering principles on CDP
- Ability to build and optimize data pipelines using Apache Spark and SQL
- Hands-on experience with data ingestion, processing, and transformation
- Skills to model, store, and query structured and unstructured data
- Expertise in integrating CDP services for real-world data applications
- Preparation for professional roles in data engineering and analytics
- Open to data engineers, BI developers, analytics professionals, and software developers
- Ideal for professionals responsible for developing and maintaining data workflows
- Basic knowledge of programming (Python/Scala), SQL, and distributed systems is recommended
- Familiarity with big data platforms and data processing ecosystems is beneficial
- Corporate sponsorship or group participation is encouraged
- Master the fundamentals of data ingestion and transformation on CDP
- Learn how to design scalable data pipelines with Spark and SQL
- Gain expertise in data modeling and schema design
- Understand optimization techniques for performance and resource utilization
- Develop skills to debug, test, and deploy data applications
- Achieve readiness for data engineering roles with practical, real-world experience
- Introduction to CDP Data Development Concepts
- Apache Spark Fundamentals for Developers
- Data Ingestion & Transformation Techniques
- Structured Query Processing with SQL on CDP
- Data Modeling & Schema Design
- Performance Optimization & Tuning
- Data Storage Strategies & Formats
- Debugging, Testing & Deployment Practices
- Integrating Data Workflows with CDP Services
- Hands-On Labs and Practical Projects
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