Traditional architecture and technologies and newer big data approaches each offer advantages. In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence ...

You need to nail the real-time analytics problem, and this has to be the centerpiece of any monitoring or management platform going forward.

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O'Brien, ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...

Research shows that over 90% of large organizations already deploy multicloud architectures, and their data is distributed across several cloud providers.

The rise of the big data era pushed companies to store and leverage vast amounts of information. Many found that Hadoop’s promise of cost-effective, large-scale analytics fell short.

The importance of skills like leadership, social influence, resilience, flexibility, and the use of AI and big data have grown drastically.

The potential of “big data,” the massive explosion of sources of information from sensors, smart devices, and all other devices connected to the Internet, is probably under-appreciated in ...