Associate Data Practitioner

Unlock the power of your data in the cloud! Get hands-on with Google Cloud's core data services like BigQuery and Looker to validate your practical skills in data ingestion, analysis, and management, and earn your Associate Data Practitioner certification!

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3.2 Schedule, automate, and monitor basic data processing tasks

Section 3: Data Pipeline Orchestration
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Review and analyze logs in Cloud Logging and Cloud Monitoring

Cloud Logging is a vital service on the Google Cloud Platform (GCP) designed to help you understand the state of your cloud environment. It works closely with Cloud Monitor...

Monitor Dataflow pipeline progress using the Dataflow job UI

The Dataflow job UI is a crucial tool for monitoring the progress and health of your data pipelines. It helps you understand how your data is being processed and ...

Use Eventarc triggers in event-driven pipelines (Dataform, Dataflow, Cloud Functions, Cloud Run, Cloud Composer)

Eventarc allows you to build event-driven pipelines by routing events from sources like Cloud Storage to various services. Triggers act as listeners that automati...

Create and manage scheduled queries (e.g., BigQuery, Cloud Scheduler, Cloud Composer)

Cloud Scheduler is a fully managed service by Google Cloud used to automate the running of jobs and processes at specified times. It is ideal for executing repetitive tasks, such a...

Identify use cases for event-driven data ingestion from Pub/Sub to BigQuery

Pub/Sub is a vital service in Google Cloud Platform (GCP) designed for real-time messaging and data integration. It enables systems to communicate using asynchronous messaging<...

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Select a data orchestration solution (e.g., Cloud Composer, scheduled queries, Dataproc Workflow Templates, Workflows) based on business requirements

Cloud Composer is a GCP service designed to automate and manage workflows using Apache Airflow. It runs on Google Kubernetes Engine (GKE) and connects eas...