Spokesperson: Allen Mitchell, Senior Technical Account Manager, MENA at CommVault Systems
Allen Mitchell is Senior Technical Account Manager, MENA at CommVault Systems. He is an experienced pre-sales consultant with a proven track record built over 20 years in the industry. His experience includes +14 years focused on Data and Information Management issues and solutions for enterprise business.
How do you define big data?
Big Data has different meanings for different organisations and individuals, but in its simplest form it relates to large and growing quantities of data which have become difficult to manage and analyse. How Big Data is defined from a size perspective depends on who you talk to but you are certainly moving from many Terabytes into Petabytes and beyond.
What are the key problems which big data creates for an enterprise?
Big Data presents a number of challenges, including but not limited to an organisations ability to retain, protect, access, discover and ultimately delete in compliance with ever evolving regulations. Big Data is something that can creep-up on you and before you realise it, it can be causing huge expense and present new types of risk. What often starts as a project can become business critical and the bigger it is, the harder it is to keep it available or recover in an emergency.
What obstacles do you run into when approaching a customer with Big Data solutions?
Big Data is frequently perceived as an information technology problem. However, this perspective can cause some costly missteps. While compiling massive data stores is often treated as an IT project—and IT staff will be instrumental in assembling the mechanisms—for a Big Data implementation to meet organizational intent and thrive, it must be sponsored and driven strategically by a coalition of management functions. IT is not the ultimate consumer of the information. Having all stakeholders invested early in the data storage and retrieval design process will ensure that the system will ultimately serve users with the best and most efficient level of decision support.
How do you see the Big Data space shaping out in the next few years?
I believe that there will be a growing demand for cloud based Big Data Solutions in the coming years. Both technologies enjoy equal mindshare in today’s market with one offering to provide valuable insight and competitive advantage, and the other offering greater business agility while reducing costs. It seems inevitable that organisations will look to cloud to support their bid data initiatives. I also expect to see analytics tools become more user friendly, allowing everyday users the ability to access and manipulate data collected. Lastly, at some point in the near future I would expect some form of legislation to appear govern data collected, and safe guard and protect the privacy of individuals.
What technology strategies should companies be developing to overcome them?
Companies should be reviewing technology that meets the demands of the business. In doing so, they can begin to view big data more strategically while leveraging integrated solutions for lowering costs and compliance risks. Companies can then extract maximum value from their crucial information in ways that produce valuable business benefits without the limits of technology lock-in.
How can enterprises make business sense of the data flood?
Companies should start by reviewing business needs to define the scope and benefits of big data analytics and data management. Then look to leverage data management and analytics tools that have been designed and optimized for big data volumes and workloads
What business benefits can analysing big data bring to the large enterprise?
The companies that succeed in turning Big Data into actionable information will have a clear competitive advantage over companies that are aware of it but don’t know what to do about it. Capitalizing on big data will require changes in the way organizations view the role of data within the enterprise. IT organizations must accommodate storing and working with big data, and make available analysis tools that are easy to work with and integrated into business processes. Benefits should include, increase business productivity, meet eDiscovery and Compliance demands, and gain business insights for competitive differentiation.
How can enterprises successfully manage and store big data?
IT organizations must accommodate storing and working with big data, and make available analysis tools that are easy to work with and integrated into business processes. Using Storage Resource Management (SRM) software is a good start. Agent-less SRM makes rollout a non-issue and it can really help you to organize data for the best access/cost compromise. Not only will the trending warn you that you’re heading down the Big Data path it can help drive archive policies for effective long term storage and keep costs under control.
Please give a brief outline of products and services you offer specifically to address the phenomenon of big data
With CommVault Simpana software, you will be able to better manage Big Data in order to gain intelligence, cut costs and reduce operational complexity. From a single data collection, information is protected, indexed and stored within Simpana ContentStore, providing an efficient and scalable foundation for recovery, retention, analytics, eDiscovery and more.
With single-platform Simpana software, you can:
• Analyze data with built-in reporting to make informed decisions about capacity usage and data relevance for retention or deletion
• Slash the combined time to backup, archive and report by more than 50 percent over traditional methods that use disparate products and processes
• Improve access to business information while increasing productivity
• Reduce costs with automated, policy-based tiering within the ContentStore
• Utilize the most cost-effective storage for your needs, including heterogeneous disk, tape and the cloud.
CommVault is exhibiting at stand F11 at QITCOM.