Orchestrate BigQuery Workloads with Dataform Training

Live Online & Classroom Enterprise Certification Training

The Orchestrate BigQuery Workloads with Dataform course focuses on using Dataform to build, manage, and automate SQL-based data workflows in BigQuery, enabling efficient data transformation, dependency management, and version control for analytics pipelines.

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What is Orchestrate BigQuery Workloads with Dataform Certification Training about?

Dataform is a service for data analysts to develop, test, version control, and schedule complex SQL workflows for data transformation in BigQuery. In this course you will explore the components of Dataform core, learn how to define tables and dependencies in SQLX, document BigQuery tables and views, understand BigQuery security settings and how to manage these with Dataform, write assertions, execute SQL workflows, and explore additional advanced use cases.

What are the objectives of Orchestrate BigQuery Workloads with Dataform Certification Training ?

Understand the components of Dataform core.
Create tables and views in BigQuery using Dataform.
Document BigQuery tables and views.
Understand BigQuery security settings using Dataform.
Use assertions to validate data in Dataform workflows.
Execute Dataform SQL workflows in an automated fashion.

Who is Orchestrate BigQuery Workloads with Dataform Certification Training for?

Customers

What are the prerequisites for Orchestrate BigQuery Workloads with Dataform Certification Training?

Knowledge of SQL data analysis and BigQuery as discussed in BigQuery for Data Analysis.

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Dataform Core Components

SQL workflow

Repositories and workspaces

Default files and folders

Compiled graphs

Module 2: Table Definitions and Dependencies

Declare a data source.

Create a table.

Create an incremental table.

Set partitioning and clustering options.

Create an empty table.

Create an external BigLake table.

Create views and materialized views.

Define dependencies.

Module 3: Document BigQuery Tables and Views

Use column descriptions.

Use globally defined JavaScript constants.

Add labels.

Module 4: BigQuery Security Settings

IAM dataset and table/view access

Column-level security

Row-level security

Module 5: Assertions

Use built-in assertions.

Create manual assertions.

Module 6: SQL Workflow Executions

Dataform code lifecycle.

What happens during compilation.

Customize and schedule compilation results.

Execute workflows (UI, Cloud Scheduler, Cloud Composer).

Logging and monitoring.

Module 7: Advanced Use Cases

Create a BigLake table after file upload using Cloud Run functions.

Build a Machine Learning pipeline with BigQuery ML.

Work with Slowly Changing Dimensions Type 2.

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Who is the instructor for this training?

The trainer for this Orchestrate BigQuery Workloads with Dataform Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Orchestrate BigQuery Workloads with Dataform Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Google Cloud Platform.
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at GCP@springpeople.com

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