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We're here to help you find itDENG-254: Preparing with Cloudera Data Engineering Course Overview
Join our DENG-254: Preparing with Cloudera Data Engineering course, a comprehensive four-day instructor-led training designed for developers and data engineers. This course equips you with the skills to develop high-performance, parallel applications using Apache Spark, integrated closely with the Cloudera Data Platform (CDP). You'll learn to distribute, store, and process data effectively, write and deploy Spark applications, and utilize tools like Spark SQL and Hive to analyze and manage big data. Engage in hands-on exercises that prepare you for real-world challenges across various industries, enhancing your ability to make data-driven decisions swiftly and efficiently. Perfect for those with basic Linux and programming skills seeking to advance in the field of data engineering.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
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To successfully undertake the DENG-254: Preparing with Cloudera Data Engineering course, participants are expected to meet the following prerequisites:
These foundational skills will help ensure a smooth learning experience as you navigate through the course content focused on Apache Spark, Hive, and additional components in the Cloudera Data Platform. Prior experience with Spark and Hadoop is not necessary, making this course accessible to those new to these technologies but with a solid grounding in the prerequisites listed.
DENG-254: Preparing With Cloudera Data Engineering offers key concepts in using Apache Spark for developing high-performance, parallel applications on the Cloudera Data Platform.
Targeted Job Roles and Audience:
Introduction to the Course’s Learning Outcomes and Concepts: In this four-day course, participants will learn to develop, configure, and optimize big data solutions using Apache Spark, Hive, and Airflow on the Cloudera Data Platform.
List of Learning Objectives and Outcomes: