Streaming Pipelines & Analytics

Google Cloud 2018
  • 12 Videos | 1h 8m 2s
  • Includes Assessment
  • Earns a Badge
Likes 25 Likes 25
Streaming data pipelines require operations that are very different from batch operations. Explore data stream operations, analytics, and the Google Data Studio visualization tool.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

  • Playable
    1. 
    Handling Late Data Recap
    2m 33s
    UP NEXT
  • Playable
    2. 
    Understanding Watermarks, Triggers, and Accumulation
    4m 56s
  • Locked
    3. 
    Configuring Storage, BigQuery Data, and Pub/Sub
    6m 39s
  • Locked
    4. 
    Configuring Cloud Functions
    5m 13s
  • Locked
    5. 
    Building a Streaming Data Pipeline
    7m 34s
  • Locked
    6. 
    Understanding Batch and Stream Operations
    4m 23s
  • Locked
    7. 
    Understanding Streaming Analytics
    5m 43s
  • Locked
    8. 
    Working with Big Data Streaming and BigQuery
    2m 16s
  • Locked
    9. 
    Using Google Data Studio
    4m 3s
  • Locked
    10. 
    Building a Dashboard with Google Data Studio
    7m 47s
  • Locked
    11. 
    Using Pipelines, PCollections, and Transforms
    4m 57s
  • Locked
    12. 
    Exercise: Using Streaming and Analytics Operations
    6m 28s

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