IT Professional Curricula     Internet and Network Technologies Solution Area     Cloud Computing     Google Data Engineer

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Streaming data pipelines require operations that are very different from batch operations. This course introduces data stream operations, analytics, and the Google Data Studio visualization tool.

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Objectives

Data Stream Operations start the course describe late data use in stream operations define watermarks, triggers, and accumulation as they relate to stream operations demonstrate the process of configuring Cloud Storage, BigQuery resources, and Cloud Pub/Sub in support of a streaming data pipeline configure Cloud Functions in support of a streaming data pipeline demonstrate the process of building a streaming data pipeline with Cloud Dataflow define the process of batch and stream operations Streaming Analytics describe concepts in streaming analytics in GCP specify the relationship between big data streaming and BigQuery Streaming Dashboard describe how to use Google Data Studio demonstrate how to use Data Studio by building a dashboard Stream Processing Pipelines describe how to use pipelines, PCollections, and transforms Practice: Exploring Streams and Analytics describe the architecture of stream analytics and how to use Google Data Studio