DAS offers the flexibility and agility of open source tools
DAS, powered by Statistics Canada, gives you access to an Advanced Analytics Workspace specifically designed for data scientists, data stewards, analysts and researchers familiar with open source tools and coding. Built for open standards and collaboration, this service makes it faster and easier to share data stories with the wider research community.
Choose from easy-to-access open source tools.
Create your analysis workbench.
Explore, analyze and develop insights about your data.
Share your results and dashboards.
Create powerful data pipelines.
The AAW is certified for hosting Protected B data and data not available to the public if required.
Analysis
Manage and analyze data using machine learning
Use RStudio, Jupyter Notebooks, or a Linux Desktop for analysis and machine learning. Use Argo Workflows to build flexible and scalable data pipelines.
Browse, upload/download, or share, from your browser or from your workbench. Handle terabytes of data with ease. The system is S3 API compatible, meaning it communicates well with pipelines and programs while leveraging Blob storage containers.
Platform as a Service (PaaS)
Use available PaaS services to enhance the tools provided to you by the AAW. Use cloud-provided storage, compute and analysis tools right from your Jupyter Notebooks and Argo Workflows.
Monitor your resources and workloads with Grafana. Use this to see your machines in real time and spot performance issues.
Kubecost
See detailed metrics and reports on what you're spending on what over time. Breakdown your projects and get notifications.
Visualize and navigate your data with Kibana on Elasticsearch. Create modular, reusable dashboards, and develop great business intelligence tools quickly. Handle geospatial data, logs, or other metrics, and explore it visually or with KSQL.
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