“Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system boards, it becomes very expensive to ...

Becoming truly data-driven requires more than adopting new tools—it demands clear alignment between business goals and data architecture. The annual Data Summit conference returned to Boston, May 6-7, ...

Overview: Discover seven essential books covering modern software architecture, scalability, distributed systems, and technical leadership principles.Learn prac ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...

An increasingly loud transformation has been reshaping how operations-heavy companies think about data infrastructure. In 2026, I believe it could fundamentally reshape three vendor categories. For ...

Debate and discussion around data management, analytics, BI and information governance. DeepSeek’s recent developments have ignited significant discussion in the AI community. DeepSeek is very ...

For more than two decades, the enterprise software stack followed a familiar structure. Companies bought applications for finance, human resources, customer management, supply chains, and service ...

The Software Architecture for Big Data specialization includes a three-course pathway to earn admission to the Online MS in Computer Science (MS-CS). You may complete the three courses below as a ...

Most martech stacks aren’t the real problem. The architecture underneath them is. CMOs and CIOs have spent the last decade building increasingly sophisticated martech ecosystems, answering every new ...

As CTO, you know when the current code base is too old: it takes forever to get new features out, response time for end-users is slow, tools are outdated, etc. Yet these issues barely trigger a raised ...