Building Resilient Streaming Analytics Systems on GCP
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 Platform.
What you'll learn
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 Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.
Table of contents
- Introduction to Cloud Pub/Sub 9m
- Cloud Pub/Sub Push vs Pull 5m
- Publishing with Pub/Sub code 4m
- Summary 2m
- Getting Started With GCP And Qwiklabs 4m
- Lab Intro:Publish Streaming Data into Pub/Sub 0m
- Lab: Streaming Data Processing: Publish Streaming Data into PubSub 0m
- Lab Solution:Publish Streaming Data into Pub/Sub 11m
- Streaming into BigQuery and Visualizing Results 6m
- Lab Intro:Streaming Analytics and Dashboards 0m
- Lab: Streaming Data Processing: Streaming Analytics and Dashboards 0m
- Lab Solution:Streaming Analytics and Dashboards 15m
- High-Throughput Streaming with Cloud Bigtable 16m
- Optimizing Cloud Bigtable Performance 7m
- Lab Intro:Streaming Data Pipelines into Bigtable 0m
- Lab: Streaming Data Processing: Streaming Data Pipelines into Bigtable 0m
- Lab Solution:Streaming Data Pipelines into Bigtable 13m
- GIS Functions 11m
- Demo:GIS Functions and Mapping with BigQuery 17m
- WITH Clauses vs Permanent Tables 3m
- Analytical window functions 14m
- Lab Intro:Optimizing your BigQuery Queries for Performance 0m
- Lab: Optimizing your BigQuery Queries for Performance 0m
- Performance Considerations 3m
- Lab Intro:Creating Date-Partitioned Tables in BigQuery 0m
- Lab: Partitioned Tables in Google BigQuery 0m