Course details

Streaming Pipelines and Analytics

Streaming Pipelines and Analytics


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
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.

Target Audience
Data professionals who are responsible for provisioning and optimizing big data solutions, and data enthusiasts getting started with Google Cloud Platform

Prerequisites
None

Expected Duration (hours)
1.2

Lesson Objectives

Streaming Pipelines and Analytics

  • 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
  • describe concepts in streaming analytics in GCP
  • specify the relationship between big data streaming and BigQuery
  • describe how to use Google Data Studio
  • demonstrate how to use Data Studio by building a dashboard
  • describe how to use pipelines, PCollections, and transforms
  • describe the architecture of stream analytics and how to use Google Data Studio
  • Course Number:
    cl_gcde_a14_it_enus

    Expertise Level
    Intermediate