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Cloudera Data Engineering: Developing Applications with Apache Spark Course

  • Duration: 32 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Cloudera Data Engineering: Developing Applications with Apache Spark course is designed to equip data engineers, ETL developers, and analytics professionals with the skills to design, develop, and optimize scalable data applications using Apache Spark on the Cloudera Data Platform (CDP). Participants will gain hands-on experience in building Spark applications that process large volumes of data, performing transformations, aggregations, and integrations with other data sources. The course emphasizes best practices in Spark programming, performance tuning, resource management, and real-world use cases to prepare data engineering teams for production-grade workloads.

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Course Details

  • Master core Apache Spark concepts and distributed data processing
  • Hands-on experience developing Spark applications using Scala and/or Python
  • Ability to optimize data pipelines for performance and resource efficiency
  • Expertise in working with structured and unstructured data at scale
  • Skills to integrate Spark with the CDP ecosystem and data sources
  • Readiness for enterprise-level data engineering challenges
  • Open to data engineers, software developers, ETL specialists, and analytics professionals
  • Ideal for individuals responsible for building scalable data pipelines and applications
  • Basic understanding of programming (Python/Scala), SQL, and distributed systems is recommended
  • Familiarity with big data concepts and cluster environments is beneficial
  • Corporate sponsorship or group participation is encouraged
  • Learn how to write efficient Spark applications to process large datasets
  • Gain expertise in Spark RDDs, DataFrames, and optimized transformations
  • Understand methods for Spark performance tuning and debugging
  • Develop skills in integrating Spark applications with data stores and messaging systems
  • Master advanced Spark features such as streaming, machine learning, and graph processing
  • Achieve readiness for real-world data engineering responsibilities
  • Introduction to Apache Spark Architecture
  • Spark Programming with Scala and Python
  • Working with DataFrames & Spark SQL
  • Deploying Spark Applications on CDP
  • Performance Tuning & Optimization
  • Advanced Transformations & Actions
  • Spark Streaming & Real-Time Data Processing
  • Spark Machine Learning & MLlib
  • Integration with Data Sources & CDP Ecosystem
  • Hands-On Labs and Practical Projects
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in the Cloudera Data Engineering Course?+

The program includes structured learning modules, expert-led instruction, hands-on labs, real-world use cases, and certification readiness support.

Is the Cloudera Data Engineering certification globally recognized?+

Yes, Cloudera certifications are globally recognized and valued by enterprises adopting distributed data engineering practices.

Who should enroll in this course?+

This course is ideal for data engineers, ETL developers, analytics professionals, and anyone building scalable data applications with Spark.

How is the training delivered?+

Training is delivered via live virtual sessions, structured digital modules, hands-on practical labs, and continuous learner support.

Can the course be customized for organizational needs?+

Yes, the course can be tailored to align with your organization’s data engineering workflows and platform priorities.

Are trainers experienced professionals?+

Yes, all trainers are certified data engineering and Spark experts with extensive real-world experience in distributed data processing.