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DENG 254 Preparing with Cloudera Data Engineering Course

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

The DENG-254: Preparing with Cloudera Data Engineering course is designed to build foundational skills for data engineers and analytics professionals working with the Cloudera Data Platform (CDP). This course focuses on essential data engineering concepts including data ingestion, processing, transformation, storage, and pipeline optimization. Participants will gain hands-on experience with Apache Spark, Hadoop ecosystem tools, and CDP services to prepare them for real-world data engineering tasks. The training emphasizes best practices in scalable data workflows, performance tuning, and data quality management.

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Course Details

  • Solid foundation in core data engineering principles and workflows
  • Practical experience with Apache Spark, data ingestion, and ETL processes
  • Ability to design, optimize, and troubleshoot data pipelines
  • Enhanced skills in handling structured and unstructured data at scale
  • Understanding of data quality, governance, and performance tuning
  • Preparation for advanced data engineering roles and Cloudera certification
  • Open to aspiring data engineers, analytics professionals, ETL developers, and technical teams
  • Ideal for professionals seeking foundational knowledge in data engineering and big data ecosystems
  • Basic understanding of programming (Python/Scala), SQL, and distributed computing is recommended
  • Familiarity with Linux and data processing concepts is beneficial
  • Corporate sponsorship or group participation is encouraged
  • Master fundamentals of data ingestion and transformation using CDP tools
  • Learn how to build and optimize data pipelines with Apache Spark
  • Gain expertise in structured and unstructured data handling
  • Understand performance tuning and resource optimization techniques
  • Develop skills in troubleshooting data workflows and ensuring data quality
  • Achieve readiness for real-world data engineering responsibilities
  • Introduction to Cloudera Data Engineering Concepts
  • Overview of Apache Spark Architecture
  • Data Ingestion & ETL Processes
  • Data Transformation and Aggregation Techniques
  • Working with Structured and Unstructured Data
  • Performance Tuning & Pipeline Optimization
  • Data Quality, Validation & Governance
  • Integration with CDP Services
  • Troubleshooting and Debugging Pipelines
  • Hands-On Labs and Practical Use Cases
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James Abot
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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.

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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.

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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 DENG-254 Course?+

The program includes structured modules, expert-led instruction, hands-on labs, practical data engineering scenarios, and certification readiness guidance.

Is the Cloudera Data Engineering certification globally recognized?+

Yes, Cloudera certifications are globally recognized and widely respected in the data engineering and analytics industries.

Who should enroll in this course?+

This course is ideal for aspiring data engineers, ETL developers, analytics professionals, and technical teams working with large-scale data workflows.

How is the training delivered?+

Training is delivered via live virtual sessions, structured digital modules, practical labs, and ongoing learner support.

Can the course be customized for organizational needs?+

Yes, the course can be tailored to meet your organization’s data engineering priorities, toolchains, and platform workloads.

Are trainers experienced professionals?+

Yes, all trainers are certified data engineering experts with real-world experience building, optimizing, and managing scalable data pipelines.