Data storage and analytics support

Data Storage 

ADC enables data owners, trustees and stewards to migrate their research data into the Cloud Data Lake and Data Warehousing to enable virtualization and a secure environment. 

ADC strives for seamless sharing of data and information using state-of-the-art data standards, security, and governance. 

This data storage offers several benefits, including the following: 

  1. Original format: deposit your data in the original format without needing to remodel the data.
  2. Exploring data for analytics: access your data for visualization and machine learning tools to enhance analytical insights and flexibility. This allows you to ask questions and seek deeper answers.
  3. Access and security: store your active data securely in a single repository to reduce redundancy and increase security. Sharing it only with approved users. 

Data analytics 

Agri-food Data Canada also provides a platform for researchers to perform data analytics. Data analytics and predictive analytics may involve numerous statistical abilities such as modelling, machine learning, and data mining. These methods allow researchers to analyze past and real-time data. Researchers may use the data to predict research outcomes and to make decisions that impact the bottom line. 

ADC provides predictive analytical tools for researchers to increase opportunities and efficiencies across research projects and to draw conclusions from digital information. 

Infographic of the ADC Infrastructure. Icons of the elements of the infrastructure in columns. Input data, Ingestion of Data, Storage, Preparation & Computation with Azure components, and Analytics and Presentation.