Google Cloud Data Analytics Services
Description
Comprehensive understanding of Google Cloud's data analytics and big data services including data warehousing, streaming analytics, and data processing pipelines.
Learning Objectives
Learners will understand Google Cloud's data analytics services including BigQuery, Dataflow, Dataproc, Pub/Sub, and Data Fusion. They will be able to design basic data processing pipelines and select appropriate analytics services for different data processing requirements.
Topics (6)
Serverless, highly scalable data warehouse for business intelligence and analytics with standard SQL support and built-in machine learning capabilities.
Fully managed service for batch and stream data processing using Apache Beam programming model with automatic scaling and optimization.
Managed Apache Hadoop and Spark service for running existing big data workloads with fast cluster startup and integration with other Google Cloud services.
Global messaging service for building scalable, event-driven systems with at-least-once message delivery and global message ordering.
Visual data integration platform and metadata management service for building, managing, and governing data pipelines and data assets.
Architecture patterns for modern data analytics including data lakes, data warehouses, real-time analytics, and hybrid processing approaches.