Building Resilient Streaming Analytics Systems on Google Cloud
- CMDBID 1081
- Course Code GCPBRSAS
- Duration 1 Days
Google Cloud Course
course overview
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Overview
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
. Explore more Cloud training hereAudience
- 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
Skills Gained
Prerequisites
Outline
- Processing Streaming Data
- Introduction to Processing 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
- Module introduction
- Preview module
- Streaming data challenges
- Dataflow windowing
- Lab Intro: Streaming Data Pipelines
- Dataflow Streaming Features
- Lab: Streaming Data Processing: Streaming Data Pipelines
- 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
- 2 QUIZZES
- 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
- 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
Certification
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