Blog Don’t Get Left Behind in the AI Race: Your Easy Starting Point is Here Read now

Data engineers will build, deploy, and manage Spark and Flink data pipelines, develop and run Spark/Flink applications, and use SQL Stream Builder's continuous SQL to perform analytics on streaming data. Data engineers will build applications to make fast and relevant decisions, implementing interactive analysis applied to a wide variety of use cases, architectures, and industries. Data engineers recognize the business value in data.

           LEVEL ONE

Cloudera Essentials for CDP (FREE)

Through video lectures, interviews, demonstrations, and customer stories, participants will explore the enterprise data cloud and Cloudera Data Platform.

           LEVEL ONE

CDP Iceberg Integration (FREE)

The modern day data explosion has to be met with new solutions and Cloudera is excited to introduce the next generation table format for large scale analytic datasets within CDP. 

           LEVEL TWO

Introducing - Cloudera Data Engineering: Developing Applications with Apache Spark (FREE)

This course introduces the key concepts and knowledge developers need to use Apache Spark, with the goal of developing high-performance applications running in massively parallel environments on the Cloudera Data Platform (CDP).

           LEVEL TWO

DENG-254: Preparing with Cloudera Data Engineering (ILT & OnDemand)

This four-day hands-on training course delivers the key concepts and knowledge developers need to use Apache Spark to develop high-performance, parallel applications on the Cloudera Data Platform (CDP). 

Learning Paths

Data Ops 


Streaming & DataFlow

 

Data Engineer


Data Engineering

 

Data Analyst


Data Warehouse

 

ML Engineer


ML Engineering

 

App Developer


Op DB & Visualization

 

Administrator


Cloudera Data Platform

 

Architect


Cloudera Data Platform

 

Data Governance


Cloudera SDX

 

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