Recognizing the Importance of Agility in Big Data and Choosing the Right Vendor
Going big with your data management strategy sounds promising, but like any major technology investment, it comes with monumental challenges. Aligning the solution with specific business objectives and finding the right service provider are among the hurdles organizations must clear right out of the gate. They shoulder even more burden once the solution is up and running, with much of it pertaining to the rapidly evolving needs tied to their area of speciality. The grueling demands of today’s dynamic business environment have made agility a critically important element of success.
What is Agility?
Agility can be defined in a variety of ways depending on the context. In the case of business, it refers to a company’s ability to quickly adopt to the changes happening around them. Agility gives you the flexibility to incoporate new forms of technology in plug and play fashion, all without being locked into a specifc solution, vendor, or platform. It’s especially critical for big data implementations, which often require the need to contiually collect, process, and manage diverse data sources atop a single underlying infrastructure.
Achieving Big Data Agility Through Open Source
The open source revolution has a provided a huge boost for the technology sector. Beyond free software, open source is about the freedom of flexibility and scale – having the control to connect existing systems, plug in data from different sources, and make tweaks on the fly. What started with Linux has blossomed into word processing applications, content management systems, and data management platforms like Hadoop. The heart of most big data implementations, Hadoop runs on an open model that plays nice with major commercial platforms and other open source technologies alike.
Making the Connection to Vendor Selection
When it comes to big data, the ideal service provider will deliver both the right tools and an environment that fosters agility. Even when you’re entering an agreement with a single company, it helps to have a vendor that will allow you to maintain open lines, so to speak. For example, new industry standards may require you to suddenly implement data protection strategies to meet regulatory compliance. The continuous push to mobile communications may demand on-the-go access to real-time analytics when business intelligence on the desktop side is no longer sufficient.
Adopting an open-minded approach to big data will only grow in importance as new data sources and technologies emerge. It’s the most effective way to address the capacity, competitive, and operational challenges that are likely to come your way. Put emphasis on finding a big data vendor that offers the right blend of technology and skill as that balance will prove valuable when it comes time to expand your data sources, analytical capabilities, and the infrastructure itself. Sure it sounds nice, but the one size fits all approach is perhaps the biggest way to fail at big data.
by Big Data Companies