Building Modern Data Pipelines on GCP via a FREE online Bootcamp
summary
Free online bootcamp teaches a runnable GCP pipeline that ingests multi-year flight data, profiles 30M+ user profiles and processes 100M+ streaming events using BigQuery, Dataflow (Apache Beam), Dataproc/Spark, Pub/Sub, Bigtable and Cloud Composer. Course provides GitHub exercises and a live demo that reads a 12k Thanksgiving-2019 CSV with pandas, writes parquet to Cloud Storage, creates BigQuery external tables for faster queries, and loads data into BigQuery; curriculum claims hands-on, transferable serverless skills and no signup fee.
AI-written summary · about
chapters (6)
- 0:00Introduction and background
- 1:58Bootcamp goals and philosophy
- 7:59Architecture and course structure
- 13:45Course backstory and content
- 15:57Live demo and technical setup
- 29:55Q&A and closing remarks
related talks
01mGoogle Cloud Platform at GoDataFest 2019
20mStreaming Processing Options in Google Cloud
55mCloud Analytics: from 0 to 100,000 events per second in 50'
41mReal-time Data Processing with Cloud Dataflow
24mApache beam and google cloud dataflow
44mBig Data Science on Google Cloud
56mLarge-Scale Distributed Processing in Google Cloud - 7 lessons...
35mPowering Interactive Data Analysis with Google BigQuery
