footprints | completed |
---|---|
๐ฃ | ๐ |
extra
quest | lab | template | game | course |
---|---|---|---|---|
๐ | ๐พ | ๐ณ | ๐ | ๐ |
-
BigQuery Architecture and Resource Provisioning
here
๐๐ -
BigQuery Fundamentals for Redshift Professionals.BigQuery Data Definition Model
here
๐๐ -
BigQuery Fundamentals for Redshift Professionals.BigQuery and Google Cloud IAM
here
๐๐ -
Course Resources
here
๐ฃ๐ -
PDE Prep: BigQuery Essentials
here
๐๐พ -
Introduction
here
๐๐ -
PDE Prep: Cloud Dataproc Cluster Operations and Maintenance
here
๐๐พ -
Understanding the Professional Data Engineer Certification
here
๐๐ -
Designing and building
here
๐๐ -
Building data processing systems
here
๐๐ -
Analyzing and modeling
here
๐๐ -
Designing for Security and Compliance
here
๐๐ -
Resources and next steps
here
๐๐ -
Building Batch Data Pipelines on Google Cloud
here
๐๐ -
MapReduce in Beam (Python) 2.5
here
๐๐พ -
A Simple Dataflow Pipeline (Python) 2.5
here
๐๐พ -
Running Apache Spark jobs on Cloud Dataproc
here
๐๐พ -
Serverless Data Analysis with Dataflow: Side Inputs (Python)
here
๐๐พ -
Building and Executing a Pipeline Graph with Data Fusion 2.5
here
๐๐พ -
An Introduction to Cloud Composer 2.5
here
๐๐พ -
Introduction
here
๐๐ -
Introduction to Building Batch Data Pipelines
here
๐๐ -
[Building Batch Data Pipelines on Google Cloud] Executing Spark on Dataproc
here
๐๐ -
Serverless Data Processing with Dataflow
here
๐๐ -
Course Introduction
here
๐๐ -
Module introduction
here
๐๐ -
[Building Batch Data Pipelines on Google Cloud].Course Summary
here
๐๐ -
Data Warehouse Solutions on Google Cloud
here
๐๐ -
Overview
here
๐๐พ -
Course Resources
here
๐๐ -
Exploring and Creating an Ecommerce Analytics Pipeline with Cloud Dataprep v1.5
here
๐๐พ -
Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion
here
๐๐พ -
Course series introduction
here
๐๐ -
Analytics challenges faced by data analysts
here
๐๐ -
Data analyst tasks and challenges and Google Cloud data tools
here
๐๐ -
Introduction to the Google Analytics ecommerce dataset
here
๐๐ -
IRS public dataset overview
here
๐๐ -
BigQuery jobs
here
๐๐ -
5 principles of dataset integrity
here
๐๐ -
Course summary
here
๐๐ -
Course Resources
here
๐๐ -
Creating Permanent Tables and Access-Controlled Views in BigQuery v1.5
here
๐๐พ -
Ingesting New Datasets into BigQuery v1.5
here
๐๐พ -
Creating Date-Partitioned Tables in BigQuery v1.5
here
๐๐พ -
Troubleshooting and Solving Data Join Pitfalls v1.5
here
๐๐พ -
Data to Insights: Unioning and Joining Datasets v1.1
here
๐๐พ -
Explore and Create Reports with Looker Studio v1.5
here
๐๐พ -
Creating permanent tables
here
๐๐ -
Course Introduction
here
๐๐ -
Ingesting new data into BigQuery
here
๐๐ -
Introducing JOINs and UNIONs
here
๐๐ -
Overview of data visualization principles
here
๐๐ -
Course summary
here
๐๐ -
Modernizing Data Lakes and Data Warehouses with Google Cloud
here
๐๐ -
Using BigQuery to do Analysis
here
๐๐พ -
Loading Taxi Data into Google Cloud SQL 2.5
here
๐๐พ -
Loading data into BigQuery
here
๐๐พ -
Working with JSON and Array data in BigQuery 2.5
here
๐๐พ -
Modernizing Data Lakes and Data Warehouses with Google Cloud
here
๐๐ -
Module introduction
here
๐๐ -
Module Introduction
here
๐๐ -
Exploring a BigQuery Public Dataset
here
๐๐พ -
Course Summary
here
๐๐ -
Module Introduction
here
๐๐ -
Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow
here
๐๐พ -
Predicting Visitor Purchases with a Classification Model with BigQuery ML
here
๐๐พ -
Vertex AI: Predicting Loan Risk with AutoML
here
๐๐พ -
Meet the author
here
๐๐ -
Introduction
here
๐๐ -
Introduction
here
๐๐ -
Introduction
here
๐๐ -
Introduction
here
๐๐ -
BigQuery Architecture and Resource Provisioning
here
๐๐ -
Course summary
here
๐๐ -
[BigQuery Fundamentals for Redshift Professionals].BigQuery Data Definition Model
here
๐๐ -
BigQuery and Google Cloud IAM
here
๐๐ -
Introduction
here
๐๐ -
BigQuery Fundamentals for Redshift Professionals.Course Resources
here
๐ฃ๐ -
BigQuery Fundamentals for Redshift Professionals.Monitoring BigQuery Workloads
here
๐๐พ -
Securing and Sharing BigQuery Datasets and Tables
here
๐๐พ -
[Data Lake Modernization on Google Cloud: Cloud Composer].Cloud Composer
here
๐ฃ๐ -
Demo: Cloud Composer Code Walkthrough
here
๐ฃ๐ -
Exploring and Preparing your Data with BigQuery
here
๐๐ณ -
BigQuery Fundamentals for Redshift Professionals
here
๐ฃ๐ณ -
Creating New BigQuery Datasets and Visualizing Insights
here
๐๐ณ -
Google Cloud Big Data and Machine Learning Fundamentals
here
๐๐ณ -
Cloud Composer
here
๐ฃ๐ณ -
Serverless Data Processing with Dataflow: Foundations
here
๐ฃ๐ณ -
Manage Data Models in Looker
here
๐๐ณ -
Modernizing Data Lakes and Data Warehouses with Google Cloud
here
๐๐ณ -
Building Batch Data Pipelines on Google Cloud
here
๐๐ณ -
Preparing for the Google Cloud Professional Data Engineer Exam
here
๐๐ณ -
Reinforcement Learning: Qwik Start
here
๐ฃ๐ -
IAM Custom Roles
here
๐ฃ๐ -
<httpsยงยงยงwww.cloudskillsboost.googleยงcourse_templatesยง78>
here
๐ฃ๐ณ -
Create and Manage Cloud Resources: Challenge Lab
here
๐ฃ๐ -
Share Data Using Google Data Cloud
here
๐ฃ๐ณ -
Predict Soccer Match Outcomes with BigQuery ML
here
๐๐ณ -
Deploy to Kubernetes in Google Cloud: Challenge Lab
here
๐ฃ๐ -
Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors
here
๐ฃ๐ -
Eventarc for Cloud Run
here
๐ฃ๐ -
Entity and Sentiment Analysis with the Natural Language API
here
๐ฃ๐ -
Cloud Functions: Qwik Start - Console
here
๐ฃ๐ -
Looker Developer - Qwik Start
here
๐ฃ๐ -
Vertex AI: Qwik Start
here
๐ฃ๐ -
Google Cloud Storage - Bucket Lock
here
๐ฃ๐ -
A Tour of Google Cloud Hands-on Labs
here
๐ฃ๐ -
ETL Processing on Google Cloud Using Dataflow and BigQuery
here
๐ฃ๐ -
Cloud Composer: Copying BigQuery Tables Across Different Locations
here
๐ฃ๐ -
Creating a Virtual Machine
here
๐ฃ๐ -
<httpsยงยงยงwww.cloudskillsboost.googleยงfocusesยง3642ยงparent=catalog>
here
๐ฃ๐ -
Troubleshooting and Solving Data Join Pitfalls
here
๐ฃ๐ -
APIs Explorer: Cloud Storage
here
๐ฃ๐ -
Creating a Data Warehouse Through Joins and Unions
here
๐ฃ๐ -
Creating Date-Partitioned Tables in BigQuery
here
๐ฃ๐ -
Creating a Data Transformation Pipeline with Cloud Dataprep
here
๐ฃ๐ -
Using BigQuery Omni with AWS
here
๐๐ -
Orchestrating the Cloud with Kubernetes
here
๐ฃ๐ -
Getting Started with Cloud Shell and gcloud
here
๐ฃ๐ -
Cloud Natural Language API: Qwik Start
here
๐ฃ๐ -
Cloud Storage: Qwik Start - CLI/SDK
here
๐ฃ๐ -
<httpsยงยงยงwww.cloudskillsboost.googleยงfocusesยง609ยงparent=catalog>
here
๐ฃ๐ -
Dataprep: Qwik Start
here
๐ฃ๐ -
BigQuery: Qwik Start - Command Line
here
๐ฃ๐ -
Get Started with Cloud Storage: Challenge Lab
here
๐ฃ๐ -
Cloud Functions: Qwik Start - Command Line
here
๐ฃ๐ -
Google Cloud Pub/Sub: Qwik Start - Command Line
here
๐ฃ๐ -
Kubernetes Engine: Qwik Start
here
๐ฃ๐ -
Get Started with Eventarc: Challenge Lab
here
๐ฃ๐ -
Level 1: Data with Google Cloud
here
๐๐ -
Looker Data Explorer - Qwik Start
here
๐๐พ -
Looker Studio: Qwik Start
here
๐๐พ -
Get Started with Looker: Challenge Lab
here
๐๐พ -
Dataflow: Qwik Start - Python
here
๐๐พ -
Create a Streaming Data Lake on Cloud Storage: Challenge Lab
here
๐๐พ -
Stream Processing with Cloud Pub/Sub and Dataflow: Qwik Start
here
๐๐พ -
Dataplex: Qwik Start - Command Line
here
๐๐พ -
Dataplex: Qwik Start - Console
here
๐๐พ -
Tagging Dataplex Assets
here
๐๐พ -
Analyze Speech & Language with Google APIs: Challenge Lab
here
๐๐พ -
Get Started with Dataplex: Challenge Lab
here
๐๐พ -
Level 2: Cloud security
here
๐๐ -
Google Cloud Storage - Bucket Lock
here
๐๐พ -
Cloud Functions 2nd Gen: Qwik Start
here
๐๐พ -
Cloud IAM: Qwik Start
here
๐๐พ -
Eventarc for Cloud Run
here
๐๐พ -
Create a Secure Data Lake on Cloud Storage: Challenge Lab
here
๐๐พ -
Cloud Monitoring: Qwik Start
here
๐๐พ -
Monitoring and Logging for Cloud Functions
here
๐๐พ -
Monitor a Compute Engine Virtual Machine: Qwik Start
here
๐๐พ -
Monitoring in Google Cloud: Challenge Lab
here
๐๐พ -
Cloud Functions: 3 Ways: Challenge Lab
here
๐๐พ -
Responding to Cloud Logging Messages with Cloud Functions
here
๐๐พ -
APIs Explorer: Qwik Start
here
๐๐พ -
Getting Started with BigQuery Machine Learning
here
๐ฃ๐พ -
Deploying a Python Flask Web Application to App Engine Flexible
here
๐๐พ -
Hosting a Web App on Google Cloud Using Compute Engine
here
๐๐พ -
Extract, Analyze, and Translate Text from Images with the Cloud ML APIs
here
๐๐พ -
Use Go Code to Work with Google Cloud Data Sources
here
๐๐พ -
Level 3: GenAI
here
๐๐ -
Generative AI with Vertex AI: Getting Started
here
๐๐พ -
Generative AI with Vertex AI: Prompt Design
here
๐๐พ -
Get Started with Generative AI Studio
here
๐๐พ -
Analyze Images with the Cloud Vision API: Challenge Lab
here
๐๐พ -
Level 1: Sports Data
here
๐๐ -
Troubleshooting Data Models in Looker
here
๐๐พ -
Modularizing LookML Code with Extends
here
๐๐พ -
BigQuery Soccer Data Analytical Insight
here
๐๐พ -
Employing Best Practices for Improving the Usability of LookML Projects
here
๐๐พ -
Caching and Datagroups with LookML
here
๐๐พ -
How to Build a BI Dashboard Using Google Looker Studio and BigQuery
here
๐๐พ -
Analytics as a Service for Data Sharing Partners
here
๐๐พ -
Level 2: BigQuery and BigLake Data Skills
here
๐๐ -
Creating and Populating a Bigtable Instance
here
๐๐พ -
Tag and Discover BigLake Data: Challenge Lab
here
๐๐พ -
Data Catalog: Qwik Start
here
๐๐พ -
Migrating On-premises MySQL Using a Continuous Database Migration Service Job
here
๐๐พ -
Troubleshooting Common SQL Errors with BigQuery
here
๐ฃ๐พ -
Building Demand Forecasting with BigQuery ML
here
๐๐พ -
Optical Character Recognition (OCR) with Document AI (Python)
here
๐๐พ -
Form Parsing with Document AI (Python)
here
๐๐พ -
<httpsยงยงยงwww.cloudskillsboost.googleยงgamesยง4793ยงlabsยง31288>
here
๐๐พ -
Google Cloud Pub/Sub: Qwik Start - Console
here
๐ฃ๐พ -
Using Specialized Processors with Document AI (Python)
here
๐๐พ -
Data Engineer Learning Path
here
๐ฃ๐ -
Create and Manage Cloud Resources
here
๐๐ -
obar1
here
๐ฃ๐ -
Deploy to Kubernetes in Google Cloud
here
๐๐ -
Data Engineering
here
๐๐ -
Get Started with Cloud Storage
here
๐๐ -
App Engine: 3 Ways
here
๐๐ -
Get Started with Looker
here
๐๐ -
Create a Streaming Data Lake on Cloud Storage
here
๐๐ -
Cloud Functions: 3 Ways
here
๐๐ -
Create a Secure Data Lake on Cloud Storage
here
๐๐ -
Get Started with Dataplex
here
๐๐ -
Monitoring in Google Cloud
here
๐๐ -
Analyze Speech and Language with Google APIs
here
๐๐ -
Get Started with Eventarc
here
๐๐ -
Baseline: Data, ML, AI
here
๐๐ -
BigQuery for Data Warehousing
here
๐๐ -
Develop an app with Duet AI
here
๐๐พ -
Exploring IAM
here
๐ฃ๐พ -
Cloud Storage
here
๐ฃ๐พ -
Generative AI: Hamburg Tour
here
๐๐พ -
Deploy Kubernetes Load Balancer Service with Terraform
here
๐๐พ -
HTTPS Content-Based Load Balancer with Terraform
here
๐๐พ -
Modular Load Balancing with Terraform - Regional Load Balancer
here
๐๐พ -
Cloud SQL with Terraform
here
๐๐พ -
Managing Cloud Infrastructure with Terraform
here
๐๐ณ -
Optimizing your BigQuery Queries for Performance 2.5
here
๐๐พ -
Data Engineer Learning Path
here
๐ฃ๐ -
Preparing for your Professional Data Engineer Journey
here
๐ฃ๐ณ -
Introduction to Docker
here
๐๐พ -
Google Kubernetes Engine: Qwik Start
here
๐๐พ -
<httpsยงยงยงwww.cloudskillsboost.googleยงcourse_templatesยง744ยงlabsยง408291>
here
๐๐พ -
Managing Deployments Using Kubernetes Engine
here
๐ฃ๐พ -
Kubernetes in Google Cloud
here
๐๐ณ -
Continuous Delivery with Jenkins in Kubernetes Engine
here
๐๐พ