anjijava16/GCP_Data_Enginner_Utils: GCP_Data_Enginner · GitHub

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

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

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

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

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

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

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

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

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

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