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Certification Path

The Google Professional Data Engineer Certification is one of the highest level of certification mainly focussing to the professional Data Engineering.

There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google professional Data Engineer.

You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path

Requirements

The certification does not have any official prerequisites. However, it is advised to have at least three years of industry experience with one or more years of expertise in designing and managing different solutions with the use of Google Cloud Platform. It is also required to review the topics of the qualifying exam before sitting for it.

Reference: https://cloud.google.com/certification/data-engineer

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This course will show you how to manage big data including loading, extracting, cleaning, and validating data. At the end of the training, you can easily create machine learning and statistical models as well as visualizing query results. This program is a bit lengthy but you have to practice well to get the knowledge needed on the actual exam. These are the following modules covered in the course:

• Creating a Data Lake
• Handling Data Pipelines with Cloud Composer and Cloud Data Fusion
• Performing Spark on Cloud Dataproc
• Introduction to Building Batch Data Pipelines
• Bigtable Streaming Features and High-Throughput BigQuery
• Advanced BigQuery Performance and Functionality
• Production ML Pipelines and use of Kubeflow
• Cloud Dataflow Streaming Features
• Introduction to Data Engineering
• Prebuilt ML Models APIs for Unsaturated Data
• Introduction to Processing Streaming Data
• Serverless Data Processing with Cloud Dataflow
• Custom Model building Using SQL in BigQuery ML
• Big Data Analytics with Cloud Al Platform Notebook
• Custom Model building Utilizing Cloud AutoML
• Building a Data Warehouse
• Serverless Messaging Using Cloud Sub/Pub

These modules involve everything the candidate requires for passing the Professional Data Engineer certification exam. Thus, you will not miss anything if you are taking this learning program keenly and apply the required knowledge in an appropriate way. You would end up getting a good score and achieving the Google Professional Data Engineer certification.

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