These solutions are more likely to withstand a challenge over time when the solution involves a new configuration for quantum computing that improves the processing of big data.

Overcoming Big Data obstacles Make sure that the identified use case is appropriate for a Big Data solution. Highly structured and transaction-oriented data may be better served by a traditional DBMS.

For example, big data security analytics for real-time risk management will provide continuous monitoring for situational awareness, rogue assets, configuration management, and vulnerability ...

Big Data can be transformed an actionable asset rather than a siloed bureaucratic nightmare with its potential for solving big healthcare problems at both the population and personal level.

Big Data solutions, like warehouse management systems, can struggle to provide real-time analytics. But the real-time analytics are needed to run a responsive and agile supply chain.

Customers are Ignoring You (Photo credit: ronploof) Not a lot of companies can successfully reposition themselves, but Big Data company Actian has done just that. The company, known for its Ingres ...

The number of Fortune 500 companies successfully using Big Data analytics as a way to improve business intelligence and efficiency is not very high.

GutCheck announces new solution connecting survey data with big data to give clients research-grade insights, powered by billions of consumer profiles ...

To illustrate this, we’ll examine two examples of leveraging big data in different departments of a hospital or health system -- oncology and radiology.

It's highly probable that your firm's traditional RDBMS data warehouses will continue to function as mission-critical components of your enterprise systems architecture. When planning to incorporate ...