Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling

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Delegates will learn how to

What you'll learn
  • Interpret use-cases for real-time streaming analytics.
  • Manage data events using the Pub/Sub asynchronous messaging service.
  • Write streaming pipelines and run transformations where necessary.
  • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
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Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
  • Processing Streaming Data
  • Introduction to Processing Streaming Data
Serverless Messaging with Pub/Sub
This module talks about using Pub/Sub to ingest incoming streaming data
  • Module introduction
  • Introduction to Pub/Sub
  • Pub/Sub Push versus Pull
  • Publishing with Pub/Sub code
  • Summary
  • Lab Intro: Publish Streaming Data into Pub/Sub
  • Getting Started with Google Cloud Platform and Qwiklabs
  • QUIZ
  • Lab: Streaming Data Processing: Publish Streaming Data into Pub/Sub
Dataflow Streaming features
This module revisits Dataflow and focuses on its streaming data processing capabilities
  • Module introduction
  • Preview module
  • Streaming data challenges
  • Dataflow windowing
  • Lab Intro: Streaming Data Pipelines
  • Dataflow Streaming Features
  • Lab: Streaming Data Processing: Streaming Data Pipelines
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
  • Module introduction
  • Streaming into BigQuery and visualizing results
  • Lab intro: Streaming Data Processing: Streaming Analytics and Dashboards
  • High-throughput streaming with Cloud Bigtable
  • Optimizing Cloud Bigtable Performance
  • Lab intro: Streaming Data Processing: Streaming Data Pipelines into Bigtable
  • Streaming Analytics and Dashboards
  • High-Throughput Streaming with Cloud Bigtable
  • Lab: Streaming Data Processing: Streaming Analytics and Dashboards
  • Lab: Streaming Data Processing: Streaming Data Pipelines into Bigtable
Advanced Bigquery Functionality and Performance
This module dives into more advanced features of BigQuery
  • Module introduction
  • Analytic window functions
  • GIS functions
  • Demo: GIS Functions and Mapping with BigQuery
  • Performance considerations
  • Lab Intro: Optimizing your BigQuery Queries for Performance
  • Cost considerations
  • BigQuery advanced functionality and performance considerations
  • Optimizing your BigQuery Queries for Performance
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