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Target Audience

The candidates for this certification are the data engineers or those aiming to become one. These individuals should have the capacity to allow data-driven decision-making through the collection, transformation, and publishing of data. They have the expertise in designing, building, and operationalizing secure data processing systems and monitoring the same. This is with the specific emphasis on compliance and security, fidelity and reliability, portability and flexibility, as well as efficiency and scalability.

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

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:

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

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.