Streaming Pipelines & Analytics
Google Cloud 2018
| Intermediate
- 12 Videos | 1h 2m 32s
- Includes Assessment
- Earns a Badge
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
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describe late data use in stream operationsdefine watermarks, triggers, and accumulation as they relate to stream operationsdemonstrate the process of configuring Cloud Storage, BigQuery resources, and Cloud Pub/Sub in support of a streaming data pipelineconfigure Cloud Functions in support of a streaming data pipelinedemonstrate the process of building a streaming data pipeline with Cloud Dataflowdefine the process of batch and stream operations
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describe concepts in streaming analytics in GCPspecify the relationship between big data streaming and BigQuerydescribe how to use Google Data Studiodemonstrate how to use Data Studio by building a dashboarddescribe how to use pipelines, PCollections, and transformsdescribe the architecture of stream analytics and how to use Google Data Studio
IN THIS COURSE
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1.Handling Late Data Recap2m 33sUP NEXT
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2.Understanding Watermarks, Triggers, and Accumulation4m 56s
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3.Configuring Storage, BigQuery Data, and Pub/Sub6m 39s
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4.Configuring Cloud Functions5m 13s
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5.Building a Streaming Data Pipeline7m 34s
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6.Understanding Batch and Stream Operations4m 23s
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7.Understanding Streaming Analytics5m 43s
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8.Working with Big Data Streaming and BigQuery2m 16s
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9.Using Google Data Studio4m 3s
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10.Building a Dashboard with Google Data Studio7m 47s
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11.Using Pipelines, PCollections, and Transforms4m 57s
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12.Exercise: Using Streaming and Analytics Operations6m 28s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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