Google Certified Professional Data Engineer : Professional-Data-Engineer

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

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Introduction

Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages They collect, transform, and visualize data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance,scalability, fidelity, and efficiency of such systems.

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Training Courses Recommended for the Exam Preparation

Training courses are meant to help candidates to learn about the Google exam syllabus and prepare well. It has hands-on labs and expert support that will allow you to get in-depth knowledge of each domain covered in the test. So, these are some of the best training courses offered by Google for the Professional Data Engineer certification exam.

Understanding functional and technical aspects of Google Professional Data Engineer Exam Building and operationalizing data processing systems

The following will be discussed here:

• Storage costs and performance
• Monitoring pipelines
• Building and operationalizing storage systems
• Testing and quality control
• Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
• Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore)
• Integrating with new data sources
• Lifecycle management of data
• Data acquisition and import
• Building and operationalizing pipelines
• Adjusting pipelines
• Building and operationalizing processing infrastructure
• Transformation
• Validating a migration
• Awareness of current state and how to migrate a design to a future state
• Provisioning resources
• Building and operationalizing data processing systems
• Data cleansing
• Batch and streaming

Google Professional-Data-Engineer Exam Syllabus Topics: