Reference Links:

0. https://cloud.google.com/free
1. Architecture: https://gcp.solutions/
2. AWS VS GCP (For AWS Developer to GCP) : https://cloud.google.com/docs/compare/aws
3. https://cloud.google.com/certification/guides/professional-cloud-architect
4. Docs: https://cloud.google.com/docs
5. Tutorials: https://cloud.google.com/docs/tutorials

Labs:

1. https://console.cloud.google.com/?pli=1
2. https://google.qwiklabs.com/users/sign_in
3. https://github.com/georgezoto/Google-Cloud-Platform-Associate-Cloud-Engineer

IMP LINKS/ Github Link:

1. https://github.com/sathishvj/awesome-gcp-certifications
2. https://github.com/gregsramblings/google-cloud-4-words
3. https://github.com/Ulminator/gcp-certification-notes
4. https://github.com/priyankavergadia/GCPSketchnote
5. https://thecloudgirl.dev/
6. https://github.com/GoogleCloudPlatform/training-data-analyst
7. https://github.com/GoogleCloudPlatform/training-data-analyst/tree/master/courses/data-engineering/demos
8. https://github.com/GoogleCloudDataproc/spark-bigquery-connector
9. https://github.com/GoogleCloudPlatform/training-data-analyst/tree/master/courses
10. https://github.com/gregsramblings/google-cloud-4-words
11. https://github.com/GoogleCloudPlatform/bigquery-oreilly-book/tree/master/02_query
12. https://github.com/PacktPublishing/Learning-Google-BigQuery
13. https://github.com/PacktPublishing/Machine-Learning-with-BigQuery-ML/blob/master/Chapter03/bigquery_syntax.sql
14. https://github.com/GoogleCloudDataproc/initialization-actions
15. https://github.com/GoogleCloudDataproc/spark-bigquery-connector/tree/master/examples/notebooks
16. https://github.com/GoogleCloudDataproc/cloud-dataproc/tree/master/notebooks/python

Udemy Courses :

1. Cloug Enginner : https://www.udemy.com/course/google-certified-associate-cloud-engineer/
2. Cloud Data Enginner: https://www.udemy.com/course/gcp-data-engineer-and-cloud-architect/learn/lecture/7599964#overview

Books:

1. Google BigQuery: The Definitive Guide
2. Official Google Cloud Certified Professional Data Engineer Study Guide (Dan Sullivan)

Google Certificates:

1. Associate Cloud Engineer (General for every one) (Fee: $125 & 2 hours)
2. Professional
   1. cloud-architect
   2. Cloud Developer
   3. Data Engineer
   4. Cloud DevOps Engineer
   5. Machine Learning Enginee
   6. Cloud Network Engineer
   7. Cloud Security Engineer
   8. Collaboration Engineer

Install:

1. GoogleCloudSDKInstaller (GcloudSDK.exe)
2. gcloud commands for the gcloud tool, Google Cloud’s primary command-line tool.
3. bq https:/
4. gsutil: gsutil is the command-line Google Storage utilities. Equivalent to aws s3 but for the Google Cloud Platform, it allows you to access Google Cloud Storage from the command line.

vi ~/.bashrc

export PATH=/home/ec2-user/google-cloud-sdk/bin:$PATH

source ~/.bashrc

export SERVICE_ACCOUNT=iwinner-data-service-account@iwinner-data.iam.gserviceaccount.com export GOOGLE_APPLICATION_CREDENTIALS=/home/ec2-user/iwinner-data.json export PROJECT_ID=iwinner-data gcloud config set account $SERVICE_ACCOUNT gcloud auth activate-service-account $SERVICE_ACCOUNT --key-file=$GOOGLE_APPLICATION_CREDENTIALS --project=$PROJECT_ID

Compute Services:

Where can you run your applications in GCP? I will present 4 places where your code can run in GCP:

1. Google Compute Engine
2. Google Kubernetes Engine
3. App Engine
4. Cloud Functions

Commands:

1. gsutil help
2. gcloud help
3. bq help
4. cbt help (For BigTable)
5. datalab (For ML & Jupter notebooks)

Create Google Service Account credentials.

1. Go to IAM & admin -> Service accounts.
2. Click CREATE SERVICE ACCOUNT.
3. Enter a Service account name and Service account description.
4. Click CREATE.
5. In the next screen Service account permissions , select a role.
6. Select Storage -> Storage Admin.
7. Click CONTINUE. & Click Create key.

gcloud auth activate-service-account iwinner-data-service-account@iwinner-data.iam.gserviceaccount.com --key-file=test_google_account.json