When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

BigQuery Fundamentals for Snowflake Professionals

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Ce cours n'est pas disponible en Français (France)

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BigQuery Fundamentals for Snowflake Professionals

Instructeur : Google Cloud Training

2 937 déjà inscrits

Inclus avec

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Certaines connaissances prérequises

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

6 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Certaines connaissances prérequises

6 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Describe BigQuery’s architecture, resource provisioning, and data definition model.
Create, secure, and share BigQuery data assets using best practices.
Implement common patterns and best practices for designing schemas, ingesting data, and querying data in BigQuery.
Compare and contrast the differences and commonalities between Snowflake and BigQuery.

Compétences que vous acquerrez

Catégorie : Google Cloud Platform
Catégorie : Data Modeling
Catégorie : SQL
Catégorie : Data Warehousing
Catégorie : Data Import/Export
Catégorie : Database Design
Catégorie : Data Processing
Catégorie : Data Architecture
Catégorie : Database Management
Catégorie : Data Integration
Catégorie : Database Architecture and Administration
Catégorie : Identity and Access Management
Catégorie : Real Time Data
Catégorie : Cloud Computing Architecture
Catégorie : Data Sharing

Outils que vous découvrirez

Catégorie : Role-Based Access Control (RBAC)
Catégorie : Query Languages

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

6 devoirs

Enseigné en Anglais

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Il y a 6 modules dans ce cours

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Snowflake and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Snowflake, you also learn about similarities and differences between Snowflake and BigQuery to help you get started with data warehouses in BigQuery.

This introductory module summarizes the key details of BigQuery architecture and resource provisioning including how BigQuery utilizes slots to execute SQL queries and workload management in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between Snowflake and BigQuery architecture and resource provisioning to help you get started with BigQuery.

Inclus

1 lecture1 devoir1 élément d'application1 plugin

This module summarizes the key details of BigQuery’s resource hierarchy and data definition model, including how to create datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences between the Snowflake and BigQuery resource hierarchies and primary data types to help you start working with data in BigQuery.

Inclus

1 lecture1 devoir

This module summarizes the key details of the Google Cloud Identity and Access Management (IAM) model, including how roles and permissions are applied to datasets and tables in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in roles and permissions between Snowflake and BigQuery to help you start securing and sharing your data in BigQuery.

Inclus

1 lecture1 devoir1 élément d'application

This module summarizes the primary options and best practices for ingesting data into BigQuery, including batch data loading, streaming ingestion, and queries to external data sources. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in data ingestion options between Snowflake and BigQuery to help you start reading and loading your data into BigQuery.

Inclus

1 lecture1 devoir

This module summarizes common patterns and best practices for designing and optimizing table schemas in BigQuery, including the use of nested and repeated fields, partitioning, and clustering. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in schema usage and design between Snowflake and BigQuery to help you start structuring and optimizing your data in BigQuery.

Inclus

1 lecture1 devoir1 élément d'application

This module summarizes the key features and operations of the Google Standard SQL dialect used in BigQuery and best practices for optimizing query performance and controlling costs in BigQuery. Drawing upon your knowledge of Snowflake, this module also provides a high-level overview of the similarities and differences in the SQL dialects and features between Snowflake and BigQuery to help you start running and optimizing queries in BigQuery.

Inclus

1 lecture1 devoir1 élément d'application

Instructeur

Google Cloud Training

Google Cloud

2 204 Cours4 313 988 apprenants

Offert par

Google Cloud

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Foire Aux Questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.