CDP Certified Data Developer Training | Master Data Engineering on Cloudera Data Platform

CDP Certified Data Developer

The CDP Certified Data Developer course is designed for professionals who want to gain a deep understanding of data engineering and development using Cloudera Data Platform (CDP). In this comprehensive training, you will learn how to design, develop, and implement scalable and high-performance data pipelines using tools and frameworks like Apache Spark, Apache Hive, and Apache HBase within the Cloudera Data Platform ecosystem. This course also focuses on developing data solutions for data lakes, data warehouses, and real-time analytics. Upon completing this course, you will be prepared to take the CDP Data Developer Certification Exam and validate your expertise in developing data solutions using CDP.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

October 12^th - 16^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		10% Off $2,000 $1,800 Fast Filling! Hurry Up.
October 17^th - 31^st 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		10% Off $2,000 $1,800
October 19^th - 30^th 06:00 PM - 10:00 PM (CST) Live Online (40 Hrs.)		10% Off $2,000 $1,800
October 26^th - 30^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.) Guaranteed-to-Run		10% Off $2,000 $1,800
November 01^st - 15^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		20% Off $2,000 $1,600
November 02^nd - 06^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		20% Off $2,000 $1,600
November 09^th - 13^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		20% Off $2,000 $1,600
November 16^th - 27^th 06:00 PM - 10:00 PM (CST) Live Online (40 Hrs.)		20% Off $2,000 $1,600
November 21^st - 05^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		20% Off $2,000 $1,600
November 23^rd - 27^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.) Guaranteed-to-Run		20% Off $2,000 $1,600
December 07^th - 11^th 09:00 AM - 05:00 PM (CST) Live Online (40 Hrs.)		25% Off $2,000 $1,500

Course Prerequisites

Experience with SQL and relational databases
Basic understanding of Hadoop and big data technologies
Familiarity with Linux/Unix operating systems
Knowledge of Apache Spark or similar data processing frameworks is beneficial but not required
Experience in programming (Java, Python, or Scala) is helpful

Learning Objectives

By the end of this course, participants will be able to:

Understand the architecture and components of Cloudera Data Platform (CDP)
Develop scalable data pipelines using Apache Spark and Apache NiFi
Build and manage data lakes and data warehouses on CDP
Implement real-time data processing and analytics using Apache HBase
Optimize data jobs for performance, scalability, and reliability
Develop security and governance policies in Cloudera Data Platform
Prepare for the CDP Certified Data Developer exam with hands-on exercises and exam-focused topics

Target Audience

This course is ideal for individuals looking to build expertise in data engineering and development on the Cloudera Data Platform. It is designed for:

Data Engineers
Data Developers
Big Data Developers
ETL Developers
Cloud Data Engineers
Data Scientists working with large-scale data platforms
Cloudera Administrators looking to enhance development skills

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