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GCP Professional Data Engineer Exam Mini Practice

Partner: Udemy
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Description: Designing Data Processing Systems:Batch Processing: Understanding when to use services like Cloud Dataflow (Apache Beam) for large-scale batch transformations, Cloud Dataproc for Hadoop/Spark workloads, and BigQuery for ELT patterns.Streaming Processing: Mastering Cloud Pub/Sub for messaging ingestion, and Cloud Dataflow for real-time transformations, windowing, and handling late data.Orchestration: Cloud Composer (Apache Airflow) is crucial for scheduling, managing, and monitoring complex data pipelines with dependencies.Data Lake vs. Data Warehouse: Knowing the characteristics, use cases, and appropriate services for each (Cloud Storage for data lakes, BigQuery for data warehouses).Networking: Understanding VPCs, Shared VPC, Private Service Connect, and how they impact data pipeline connectivity and security.Building and Operationalizing Data Processing Systems:Data Ingestion: How to get data into Google Cloud from various sources (on-premises databases, other clouds, streaming sources). Tools include Cloud Storage Transfer Service, BigQuery Data Transfer Service, Database Migration Service, Datastream, Pub/Sub.Data Transformation: Hands-on experience with Dataflow (Beam SDK), SQL in BigQuery, and potentially Dataprep for visual data preparation.Monitoring and Logging: Using Cloud Monitoring and Cloud Logging to observe pipeline health, performance, and troubleshoot issues. Setting up alerts.Debugging and Optimization: Understanding how to identify bottlenecks in Dataflow, BigQuery, or Dataproc jobs, and how to optimize them for cost and performance.Storing Data:BigQuery: This is central. Understand its architecture, partitioning, clustering, optimal table design, cost optimization, streaming inserts, external tables, materialized views, and BigQuery ML.Cloud Storage: Different storage classes, access controls, lifecycle management, and its role as a data lake.Cloud SQL/Cloud Spanner: When to use rela
Category: IT & Software > IT Certifications > IT / Technical Support
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Price: 19.99
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Source: Impact
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