Cloud Tools
GCP Data Engineer
Unlock the potential of data engineering with our comprehensive GCP Data Engineer Training. This program dives deep…
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Unlock the potential of data engineering with our comprehensive GCP Data Engineer Training. This program dives deep into the core responsibilities of data engineers, including building production-ready pipelines, managing data access, and ensuring governance. Gain hands-on experience with powerful GCP tools like BigQuery, Cloud Dataflow, and Cloud Composer, exploring topics such as data lakes, warehouses, and federated queries. Engage in labs and demos designed to enhance your skills, from analyzing public datasets to creating optimized pipelines and handling real-time streaming data.
What Will You Learn?
- Building Scalable Data Pipelines: Learn to design and manage batch and streaming data pipelines using Cloud Dataflow and Pub/Sub.
- Data Lakes and Warehouses: Understand the architecture and implementation of data lakes with Cloud Storage and warehouses with BigQuery.
- BigQuery Mastery: Gain expertise in querying, optimizing, and managing large datasets with advanced BigQuery features.
- Data Security and Governance: Learn to secure data with IAM roles, encryption, and tools like DLP API for sensitive data management.
- Integration and Orchestration: Use Cloud Composer and Data Fusion to automate workflows and integrate multiple data services.
- Advanced Analytics: Explore machine learning with BigQuery ML, geospatial data analysis, and BI tool integration for actionable insights.
Course Curriculum
Introduction to Data Engineering
Building a Data Lake
Building a Data Warehouse
Introduction to Building Batch Data Pipelines
Executing Spark on Cloud Dataproc
Serverless Data Processing with Cloud Dataflow
Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
Introduction to Processing Streaming Data
Serverless Messaging with Cloud Pub/Sub
Cloud Dataflow Streaming Features
High-Throughput BigQuery and Bigtable Streaming Features
Advanced BigQuery Functionality and Performance
BigQuery: Advanced Features and Use Cases
Databricks
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