Streaming Pipelines & Analytics
Google Cloud 2018
| Intermediate
- 12 Videos | 1h 8m 2s
- 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 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
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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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