About
Data Analytics as a Service (DAS) offers the convenience and familiarity of statistical software
Data Analytics as a Service, powered by Statistics Canada, provides data stewards, analysts and researchers with access to public data and microdata in its Collaborative Analytics Environment. Using this secure, cloud-based data analytics service, holds many benefits. - Upload and store data quickly and securely from an internal or external storage account. - Choose from a variety of familiar tools to prepare and transform datasets. - Analyze and present data using dynamic visualizations in order to share compelling data stories.
Please note that at this time, some statistical software tools may not be available for use in both official languages. Statistics Canada is working to ensure that all available data products and tools in the DAaaS platform will be accessible in both official languages in the near future. For more information, visit the CAE language GitHub documentation.
Data storage
Manage, edit, share and backup
This solution includes object, file, disk, queue, and table storage. There are also services for hybrid storage solutions, and services to transfer, share, and backup data.
Leveraging the capabilities of our two existing storage services, Azure Blob storage and Azure Data Lake Storage Gen1, this tool is dedicated to big data analytics. Features such as file system semantics, directory, and file-level security and scale are combined with low-cost, tiered storage, and high availability/disaster recovery capabilities.
A fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.
Data preparation
Clean, organize, format
Create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.
Data analysis and visualization
Analyze, share insights and tell data stories
An Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform.
A collection of software services and applications that easily connect your data sources to create coherent, visually immersive, and interactive insights.
Train, deploy, and manage machine learning models, AutoML experiments, and pipelines at scale.
This service enables you to quickly set up an environment for your team by creating or using virtual machines using Azure DevTest Labs for day-to-day work.
Data Analysis As a Service Portal
https://www.statcan.gc.ca/data-analytics-services/aboutdas