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Description
Dataform provides a platform for data analysts and engineers to create and manage scalable data transformation pipelines in BigQuery using solely SQL from a single, integrated interface. The open-source core language allows teams to outline table structures, manage dependencies, include column descriptions, and establish data quality checks within a collective code repository, all while adhering to best practices in software development, such as version control, various environments, testing protocols, and comprehensive documentation. A fully managed, serverless orchestration layer seamlessly oversees workflow dependencies, monitors data lineage, and executes SQL pipelines either on demand or on a schedule through tools like Cloud Composer, Workflows, BigQuery Studio, or external services. Within the browser-based development interface, users can receive immediate error notifications, visualize their dependency graphs, link their projects to GitHub or GitLab for version control and code reviews, and initiate high-quality production pipelines in just minutes without exiting BigQuery Studio. This efficiency not only accelerates the development process but also enhances collaboration among team members.
Description
Microsoft Graph serves as the essential link for organizations to access Microsoft 365 data, focusing on productivity, identity, and security. The Microsoft Graph Data Connect feature allows developers to securely and efficiently transfer selected Microsoft 365 datasets into Azure data stores. This functionality is particularly beneficial for training machine learning and AI models that can derive valuable insights for enhanced analytics solutions. Developers can easily copy large volumes of data from a Microsoft 365 tenant directly into Azure Data Factory without needing to write any code. This streamlined process ensures that organizations can obtain the required data, delivered to their applications on a regular schedule, with just a few straightforward steps. Furthermore, the Microsoft Graph Data Connect includes a granular consent model that empowers organizations to manage how their data is accessed. This model mandates that developers clearly define the specific data types or content filters their applications will utilize. Additionally, administrators are required to provide explicit consent before any access to Microsoft 365 data is permitted, ensuring a secure and controlled environment for data handling. In this way, organizations can effectively leverage their data while maintaining strict oversight and compliance.
API Access
Has API
API Access
Has API
Integrations
GitHub
GitLab
Google Cloud BigQuery
Google Cloud Composer
Microsoft 365
Microsoft Azure
SQL
Integrations
GitHub
GitLab
Google Cloud BigQuery
Google Cloud Composer
Microsoft 365
Microsoft Azure
SQL
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0.75 per 1K objects extracted
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/dataform
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/graph-data-connect/