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

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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:

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

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.

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

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