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:

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

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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Who should take the Google Professional Data Engineer exam

Individuals should pursue the exam if they want to demonstrate their expertise and ability to design and develop Data Engineering. Following professional get benefited from Google Professional Data Engineer Certification

• Data scientists
• Business analysts
• Data architects
• Data engineers
• Data analysts
• Developers responsible for managing big data transformation initiatives

Google Professional-Data-Engineer Certification Exam is a highly recognized certification exam for professionals who want to validate their skills and expertise in data engineering. Professional-Data-Engineer exam is designed to test the candidates' knowledge of Google Cloud Platform (GCP) and its data engineering services. It requires a deep understanding of various data tooling, technologies, and services used to build and maintain data pipelines, data processing systems, and machine learning models.

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

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