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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:
- Introduction to Processing Streaming Data
- Performing Spark on Cloud Dataproc
- Production ML Pipelines and use of Kubeflow
- Serverless Messaging Using Cloud Sub/Pub
- Creating a Data Lake
- Prebuilt ML Models APIs for Unsaturated Data
- Custom Model building Utilizing Cloud AutoML
- Serverless Data Processing with Cloud Dataflow
- Cloud Dataflow Streaming Features
- Introduction to Data Engineering
- Handling Data Pipelines with Cloud Composer and Cloud Data Fusion
- Advanced BigQuery Performance and Functionality
- Big Data Analytics with Cloud Al Platform Notebook
- Introduction to Building Batch Data Pipelines
- Bigtable Streaming Features and High-Throughput BigQuery
- Custom Model building Using SQL in BigQuery ML
- Building a Data Warehouse
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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Career Path
Completing the exam associated with the Google Professional Data Engineer certification provides you with a great validation of your skills in designing, building, operationalizing, securing, and monitoring data processing systems. The job roles that you can take up after getting certified include a Google Cloud Data Engineer, an Operations Engineer, a Cloud Infrastructure Engineer, a DevOps Infrastructure Engineer, a Cloud Database Engineer, a Google Cloud IAM Engineer, a DataOps Engineer, a Big Data Engineer, a Google Cloud Platform Data Architect, and more. The average salary that you can expect to earn with this certificate is around $125,550 per year. However, the real remuneration will depend on a specific job title, location of an individual, and his/her working experience.
