
Data
Data, dubbed “the gold of the 21st century,” has become a crucial resource for companies seeking to become—and remain—competitive. However, data has no value unless it’s put to good use. How do we go about gathering, processing, and storing it? How can we ensure data security and prevent it from being compromised? Within a stringent regulatory framework, data protection is a priority for companies of all sizes and in all sectors. Cellenza’s data experts share their knowledge and field experience on data matters in these posts. In them, you will find the latest developments, best practices, and the solutions to use within your data, artificial intelligence (AI), Internet of Things (IoT), blockchain, and business intelligence (BI) projects. Read all about data here!


Enabling Data Access with Databricks SQL REST API

Effortless MLOps: Streamline your ML workflows with Azure Machine Learning

PySpark Unit Test Best Practices

Azure’s Responsible AI Tools: The Responsible AI Dashboard

Data Mesh Adoption Framework: Challenges & FAQ

Data Mesh Adoption Framework: Measuring Progress

Data Mesh Adoption Framework: Iterative adoption

Data Mesh Adoption Framework: Introduction to Data Mesh

Synapse Analytics: how to implement CI/CD on Azure DevOps?

Smart Business / MLSecOps : How security should drive Machine Learning project?

Cybersecurity in Azure Sphere: Who, What, When, and How?
