Cloud presenting new opportunities for data warehousing

Adopting cloud computing technologies could present firms with more options for data warehousing operations that can allow them easier access to tools for analyzing their information.

It was noted by BeyeNetwork that these solutions often have lower barriers to entry compared with traditional alternatives, particularly for use cases such as database-oriented data analytics operations, which means more firms will be able to take advantage of the latest innovations in this area.

“The market for cloud business intelligence is exploding no matter what research data you read,” the publication stated. “Enterprises are getting a taste of the cloud in bits and bytes, especially for business intelligence. We're feeling more comfortable with the cloud.”

While it may be daunting for many businesses to fully commit their data warehousing solutions to the cloud, John Bair, chief technology officer at Ajilitee, explained that if current trends continue, cloud data warehousing appliances will offer more new and enhanced features, making them more attractive to enterprises.

He also identified some of the key opportunities this will present. For instance, it was noted that providers are beginning to improve the scalability of their solutions by offering clusters that are purpose-built for high-volume input/output applications, which should make it easier for these solutions to handle large volumes of information and integrate closely with big data analytics platforms.

Users of cloud data warehousing tools should also be able to tune their solutions so they are tailored to their exact workload needs, making them more efficient.

But the cloud data warehousing market is also not without its challenges. Mr Bair highlighted security concerns as one area that must be addressed. He said it is essential that organizations employ full encryption and access control processes for all their data, if they have not done so already.

Mr Bair stated: “The benefits realized [from cloud data warehousing] are significant: low up-front capital cost, low operational expense, flexibility to quickly scale up and down to meet changing demand and access to world-class infrastructure.”