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    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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