GCP Data Engineering

Categories: Cloud, GCP, Technologies
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About Course

Google Cloud Platform (GCP) Data Engineering equips professionals with the tools and techniques needed to work with vast data sets, build scalable data pipelines, and optimize data processing in the cloud. This course will help you master the fundamentals and advanced topics in GCP’s data engineering ecosystem, enabling you to effectively manage and analyze big data for making informed business decisions.

Why Choose the Course?

  • Learn how to build scalable data pipelines on GCP.
  • Gain expertise in GCP’s data storage, processing, and analytics tools.
  • Work with real-world data scenarios, leveraging GCP’s BigQuery, Dataflow, Pub/Sub, and other services.
  • Position yourself for roles like Data Engineer, Cloud Architect, and Data Analyst.
  • Prepare for the Google Professional Data Engineer certification exam.
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What Will You Learn?

  • Understanding GCP's data storage solutions, including BigQuery, Cloud SQL, and Cloud Storage.
  • Building and managing data pipelines using Google Cloud Dataflow and Apache Beam.
  • Real-time data processing with Pub/Sub and Dataflow.
  • Using BigQuery for data analysis and transformation.
  • Optimizing data workflows for performance and cost-efficiency.
  • Integrating machine learning models and automating workflows in the cloud.

Course Content

GCP-PUB & SUB

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