DATA LAKE

Data is increasingly distributed across cloud data warehouses, data lakes, SaaS platforms, and operational systems. As companies modernize their infrastructure, they face a dual challenge: integrating diverse data sources for...

Introduction As the volume, velocity, and variety of data continue to grow, modern data platforms must balance performance, governance, and scalability. Microsoft has long dominated this space with Azure Data...

Introduction In today’s fragmented data landscape, organizations often find themselves juggling multiple data lakes, warehouses, and silos—each managed by different teams or serving different data analytics engines. This complexity slows...

Data warehousing and data mesh work together to give organizations better and broader data insights and let teams focus on building up data management initiatives tightly aligned to business domains...

Data mesh helps organizations look at data projects from a business perspective and manage their outcomes more effectively. Data pipelines take into account business domains, enabling better data governance planning.