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Overview

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.
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What You'll Learn

  • 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 Should Attend

  • Customers
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Prerequisites

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

Learning Journey

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Module 01: Dataform Core Components

  • SQL workflow
  • Repositories and workspaces
  • Default files and folders
  • Compiled graphs

Module 02: 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 03: Document BigQuery Tables and Views

  • Use column descriptions.
  • Use globally defined JavaScript constants.
  • Add labels.

Module 04: BigQuery Security Settings

  • IAM dataset and table/view access
  • Column-level security
  • Row-level security

Module 05: Assertions

  • Use built-in assertions.
  • Create manual assertions.
  • Use assertions to validate data in Dataform workflows.

Module 06: 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 07: 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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Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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Course Curriculum

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