GCP Databricks Cloud Integrations
This course is designed to provide you with the essential details to integrate the Databricks Platform with Google Cloud Platform (GCP).The Google cloud services covered in this course are Bucket, Pub /Sub and BigQuery.
The content was developed for participants with these skills/knowledge/abilities:
• Familiarity with Google Cloud Platform (GCP) fundamentals, specifically Google Cloud Storage (buckets) and Projects.
• Understanding of GCP identity and security concepts, particularly Service Accounts and JSON key authentication.
• Working knowledge of the Databricks platform, including Notebooks, Compute resources, and Spark architecture (Drivers/Executors).
• Understanding of Unity Catalog governance objects, including Metastores, Catalogs, Schemas, Storage Credentials, and External Locations.
• Foundational knowledge of real-time data streaming concepts and messaging middleware like Google Cloud Pub/Sub.
• Familiarity with data warehousing principles and Google BigQuery architecture (serverless compute, datasets, and tables).
• Intermediate proficiency in PySpark for configuring read/write operations and handling DataFrames.
• Experience with SQL commands for querying data and managing database objects within a federated environment.
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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