Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...

As enterprises seek industry clouds to boost their overall cloud ROI, they should architect with integration and security in mind and not limit their choices to one provider. The concept of industry ...

In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best ...

In an effort to address the growing complexity and increasing overhead associated with deploying business-critical applications, Microsoft introduced a set of Azure-architecture best practices aimed ...

The true measure of an effective data warehouse is how much key business stakeholders trust the data that is stored within. To achieve certain levels of data trustworthiness, data quality strategies ...

If multicloud is your preferred architecture, you better have a solid plan for interoperability, security, portability, and centralized management. Do you? Data issues are not new: data integration, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Taking a page from the Amazon Web Services (AWS) book on cloud computing platforms, Microsoft has introduced its own Azure Well-Architected Framework, providing a set of architecture best practices to ...