Podcast
Questions and Answers
Which of the following components is responsible for initiating the workflow execution based on a pre-defined schedule?
Which of the following components is responsible for initiating the workflow execution based on a pre-defined schedule?
- Cloud Scheduler (correct)
- Workflow Invocations
- YAML Config
- Dataform
Which Google Cloud service is best suited for handling event-driven execution of workloads?
Which Google Cloud service is best suited for handling event-driven execution of workloads?
- Cloud Composer
- Eventarc (correct)
- Cloud Scheduler
- Cloud Run functions (correct)
When would you typically choose Cloud Composer over Cloud Scheduler for automating your workloads?
When would you typically choose Cloud Composer over Cloud Scheduler for automating your workloads?
- When you need to execute tasks at specific recurring intervals.
- When you need to trigger actions based on events like changes in data or external triggers.
- When your workflow requires complex orchestration and coordination of multiple steps. (correct)
- When you need to invoke workloads using HTTP/S calls.
Which of the following is NOT a valid trigger mechanism for Cloud Scheduler?
Which of the following is NOT a valid trigger mechanism for Cloud Scheduler?
What is a key difference between Cloud Run functions and Eventarc in terms of their functionality?
What is a key difference between Cloud Run functions and Eventarc in terms of their functionality?
Which Google Cloud service provides the flexibility to define a specific frequency and time of day for task execution?
Which Google Cloud service provides the flexibility to define a specific frequency and time of day for task execution?
Which of the following statements about Cloud Scheduler is FALSE?
Which of the following statements about Cloud Scheduler is FALSE?
What is the most appropriate service in Google Cloud for building and managing complex workflows that involve multiple services and dependencies?
What is the most appropriate service in Google Cloud for building and managing complex workflows that involve multiple services and dependencies?
Which Google Cloud service is primarily designed for event-driven workloads and is particularly well-suited for use cases involving handling large volumes of events?
Which Google Cloud service is primarily designed for event-driven workloads and is particularly well-suited for use cases involving handling large volumes of events?
Which of the following best describes the concept of "Infrequent Execution" in the context of Eventarc?
Which of the following best describes the concept of "Infrequent Execution" in the context of Eventarc?
Based on the code snippet, what is a key advantage of using Eventarc for handling BigQuery data insertion events?
Based on the code snippet, what is a key advantage of using Eventarc for handling BigQuery data insertion events?
Which of these options is NOT a core functionality provided by Cloud Composer for managing a DAG?
Which of these options is NOT a core functionality provided by Cloud Composer for managing a DAG?
What is the primary role of 'DataprocCreateBatchOperator' within the provided example DAG?
What is the primary role of 'DataprocCreateBatchOperator' within the provided example DAG?
Given the text, what is the correct order of the following steps in developing and executing a DAG in Cloud Composer?
Given the text, what is the correct order of the following steps in developing and executing a DAG in Cloud Composer?
What is the purpose of 'dependencies' in the context of a DAG created in Apache Airflow?
What is the purpose of 'dependencies' in the context of a DAG created in Apache Airflow?
Which of the following statements accurately reflects the role of operators in Apache Airflow?
Which of the following statements accurately reflects the role of operators in Apache Airflow?
What does the Dataproc component primarily facilitate in the described workflow?
What does the Dataproc component primarily facilitate in the described workflow?
Flashcards
Cloud Scheduler
Cloud Scheduler
A service that allows scheduling jobs to trigger workflows periodically.
Dataform SQL Workflow
Dataform SQL Workflow
A sequence of operations to process SQL data in an organized manner.
compilationResult
compilationResult
The output generated from Dataform code after compilation.
YAML Config File
YAML Config File
A human-readable data serialization format often used for configuration files.
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Workflow Invocation
Workflow Invocation
The action of triggering a specific process within a workflow using certain parameters.
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Recurring intervals
Recurring intervals
Specific times set for jobs to occur repeatedly.
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HTTP/S call
HTTP/S call
Trigger type in Cloud Scheduler to invoke services via web requests.
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App Engine HTTP
App Engine HTTP
A call type to invoke Google App Engine services.
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Pub/Sub message
Pub/Sub message
A messaging service for event-driven architectures in Google Cloud.
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Cloud Composer
Cloud Composer
Google Cloud's service for workflow orchestration.
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Eventarc
Eventarc
Service to trigger cloud functions based on events.
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Automation patterns
Automation patterns
Frameworks or methods for streamlining task execution.
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DAG
DAG
Directed Acyclic Graph; a workflow representation in Airflow defining tasks and dependencies.
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Apache Airflow
Apache Airflow
An open-source platform for orchestrating complex workflows and managing task dependencies.
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Operators in Airflow
Operators in Airflow
Predefined templates in Airflow used to define tasks in a DAG, like Dataproc or BigQuery operators.
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Error handling in workflows
Error handling in workflows
Process of managing failures in workflows, including retries and notifications.
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Dataproc Workflow Template
Dataproc Workflow Template
A pre-defined process in Dataproc to automate data processing tasks.
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Cloud Storage
Cloud Storage
Google's online storage service for storing and accessing data.
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Cloud Run
Cloud Run
A serverless computing service to run containerized applications.
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API Client
API Client
A tool that interacts with APIs to send and receive data requests.
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Event-driven Process
Event-driven Process
A workflow that triggers actions based on specific events occurring.
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instantiateWorkflowTemplate
instantiateWorkflowTemplate
The action to start a specific workflow from a template using provided parameters.
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inputBucketUri
inputBucketUri
A specific URI format to point to files in Cloud Storage for processing.
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Parameters in API Requests
Parameters in API Requests
Key-value pairs provided to APIs to customize responses or actions.
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GCSToBigQueryOperator
GCSToBigQueryOperator
Loads data from Google Cloud Storage to BigQuery.
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JOIN query in BigQuery
JOIN query in BigQuery
Combines data from two tables based on a related column.
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BigQueryInsertJobOperator
BigQueryInsertJobOperator
Executes a query and inserts results into a BigQuery table.
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Dataproc
Dataproc
A service for processing big data using Apache tools.
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Cloud Audit Logs
Cloud Audit Logs
Logs that record actions taken on Google Cloud resources.
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BigQuery INSERT event
BigQuery INSERT event
An event triggered when new rows are added to a BigQuery table.
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event.name
event.name
The specific name of the logged event in Cloud Audit Logs.
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TableDataChange
TableDataChange
A structured representation of changes made in BigQuery tables.
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insertedRowsCount
insertedRowsCount
The number of rows added to a table during an INSERT operation.
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ServiceName
ServiceName
Identifies the Google Cloud service involved in an event.
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Custom Action
Custom Action
An action defined by the user to be triggered after an event occurs.
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Automation Techniques
- Google Cloud offers various automation options for workloads
- These options include Cloud Scheduler, Cloud Composer, Cloud Run functions, and Eventarc
- Automation patterns and options for pipelines are explored
- Cloud Scheduler and workflows are examined
- Cloud Composer is a workflow orchestrator
- Cloud Run functions execute code based on Google Cloud events
- Eventarc creates a unified event-driven architecture for loosely coupled services
Cloud Scheduler
- Cloud Scheduler invokes workloads at specified recurring intervals
- It allows defining the frequency and precise time for job execution
- Triggers can be based on HTTPS, App Engine HTTP calls, Pub/Sub messages, or Workflows
- Used to trigger Dataform SQL workflows
Cloud Composer
- Acts as a central orchestrator for pipelines
- Integrates pipelines across different systems (Google Cloud, on-premises, multicloud)
- Uses Apache Airflow for workflow definition (operators, tasks, dependencies)
- Offers robust features for triggering, monitoring, and logging
- Enables data analytics workflows
- Python is frequently used to develop DAGs (directed acyclic graphs) for execution
Cloud Run Functions
- Cloud Run functions execute code in response to various Google Cloud events
- These events can include HTTP requests, Pub/Sub messages, Cloud Storage changes, Firestore updates, or custom events through Eventarc
- Provides a serverless execution environment
- Supports various programming languages for flexibility
- Used for automating routine tasks, like triggering a Dataproc workflow after a file upload
Eventarc
- Enables event-driven architecture for loosely coupled services
- Connects various event sources (Google Cloud services, third-party systems, custom events) to various targets (e.g., Cloud Run functions)
- Simplifies the integration of diverse systems using CloudEvent messages
- Helps build responsive and scalable applications
- Helps respond to infrequent events (e.g., data insertion events in BigQuery)
- Enables deep monitoring of logging and other events
Lab: Using Cloud Functions to Load BigQuery
- This lab involves creating, deploying, and testing a Cloud Run function to load BigQuery
- The Cloud SDK is used
- Students will view data in BigQuery and review function logs
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