gcp-essentials
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Sample code and notes for my GCP courses on LinkedIn Learning
My GCP Essentials Course Scripts, Links and Examples
This repository contains sample code, links and scripts for working with Google Cloud Platform (GCP) services. Included technologies are for storage, database, big data and more. This repository is designed to be used in conjunction with these LinkedIn Learning courses:
- 📚 "GCP Essentials" - link to course. This course is also named "Google Cloud Platform Essential Training for Administrators"
- 📚 "GCP Enterprise Essentials" - link to course
- 📚 "GCP Machine Learning Essentials" - link to course
- 🌟 Coming in 2022 - 'GCP Tools' will be a course on LI_L & associated updates into this repo --> example in
toolsfolder at link - 🌟 Coming in 2022 - 'GCP Cost Control' will be a course on LI_L & associated updates into this repo --> key links on
costspage at link
Other Tools
- 📝 interactive list of every GCP Service in 4 words - link
- :octocat: "GCP Microservices Demo" - link to runnable demo
- 📔 GCP Qwiklabs - link sandboxed environments and GCP labs
- 📘 GCP (gcloud) command quick ref - link
- 📘 For more info about advanced topics, see the links in the
GCP-Essentials_Links.csvpage in this Repo
Examples use the GPC scripting tools (gcloud, gsutil, bq...) and sometimes also the Python API with the GCP SDK. You can work with GCP services in many programming langauges, such as Java, Go, Node and others. See this link for the GCP SDK to see examples for other programming languages: https://cloud.google.com/sdk/
Other GCP Repos & Courses
Additionally, I have created other reporisitories and courses on GCP topics. These artifacts contains sample code and scripts for working with Google Cloud Platform services for bioinformatics use cases, machine learning, Apache Spark and NoSQL on GCP.
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📚 GCP-ML --> LIL_L course - for code samples for GCP machine learning see this repository: https://github.com/lynnlangit/gcp-ml
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:octocat: GCP-for-Bioinformatics --> Open source course - for links, screencasts, jupyter notebooks or example workflows (Terra/WDL, Nextflow/NF, Galaxy Project...) for bioinformatics use cases, see this repository: https://github.com/lynnlangit/gcp-for-bioinformatics
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My Apache Hadoop/Spark and NoSQL courses on LinkedIn Learning (includes lots of GCP info)- link
- 📺 'Learning Hadoop' - if you are learning Hadoop/Spark, watch this course first
- 📺 'Cloud Hadoop: Scaling Apache Spark' - uses GCP Dataproc
- 📺 'Cloud NoSQL for SQL Pros' - covers both GCP and AWS NoSQL