Intelligent data management strategy key to controlling Big Data Chaos in Middle East - expert

One of the big topics around IT discussions these days across the Middle East is Big Data. In thinking about today's data center trends – the growth of unstructured data, the universal adoption of  virtualization and increasing consolidation – an interesting paradigm is developing. Big Data brings with it a lot of good in terms of potential business value, but also a lot of bad when it comes to the challenges of data management, most notably risk, complexity and cost that can result if it isn't done right. So how do companies deal with Big Data?

Steve Bailey, Regional Operations Director at CommVault Systems says that: today's legacy data management tools just aren't up to the task. According to a recent CommVault-sponsored CIO Market Pulse Survey on data protection and management and that polled 111 IT and business management professionals, 42 percent of respondents described their organizations' data management processes as "outdated," and 31 percent called it "chaotic." More than half stated that data searchability and the current level of automated data management is less than adequate.

Overall, those surveyed cited improving operational efficiency, the ability to access and analyze information and flexibility as the top business drivers for investing in data management solutions.

The survey also revealed some interesting information about application integration and the impact of corporate culture on an organization's ability to change solutions, all of which can be found in our latest infographic on the subject.

So what if you could reign in the wild growth of unstructured data in the Big Data era using fewer resources? Managing, protecting and understanding the business value of the data you have can have a tangible impact on business agility and the bottom line.

The advent of Big Data is causing IT to rethink and possibly redesign architectures to accommodate business requirements as data volumes grow. The only way to accommodate such growth is to implement a modern approach to data management. Customers need:

A highly scalable repository for unstructured data.

Protection and archive from a single pass through the data.

Storage tiering to lower costs.

And it all needs to be done from a single management console with application-aware snapshots, replication, data deduplication, encryption, and a range of other built-in features. Every IT vendor out there is trying to stake its claim to be the de facto standard for managing Big Data environments. Vendors who have a unique approach that stands out from competition will have success in controlling the chaos of Big Data.