Recommended Tools
In the field of data stewardship, there are several tools and technologies that can greatly assist in managing and analyzing data. Here are some recommended tool stacks that can enhance your data stewardship practices:
Azure
Azure is a cloud computing platform that provides a wide range of services for data storage, processing, and analysis. With Azure, you can securely store and manage your data, run data-intensive applications, and leverage advanced analytics capabilities.
MS Fabric
MS Fabric is a data management framework that enables seamless integration and interoperability between different data systems and applications. It provides a unified interface for accessing and manipulating data across various platforms and technologies.
Power BI
Power BI is a business analytics tool that allows you to visualize and analyze data from multiple sources. With Power BI, you can create interactive dashboards, reports, and data visualizations to gain insights and make informed decisions.
R
R is a programming language and software environment for statistical computing and graphics. It provides a wide range of tools and packages for data manipulation, analysis, and visualization. R is widely used in the scientific community for reproducible research and data analysis.
Packages
Python
Python is a versatile programming language that is widely used in data science and machine learning. It offers a rich ecosystem of libraries and frameworks for data manipulation, analysis, and modeling. Python is known for its simplicity and readability, making it a popular choice among data scientists and analysts.
Packages
GitHub
GitHub is a web-based platform for version control and collaboration. It allows you to store and manage your code repositories, track changes, and collaborate with others on software development projects. GitHub also provides hosting for documentation and websites, making it a convenient platform for sharing data stewardship resources.