Big Data needn’t keep you up at night worrying about whether your infrastructure can cope. As organisations move from testing to implementation of Big Data, the infrastructure that supports it becomes more critical, and more burdened, than ever. One question that IT professionals need to ask themselves is: is my infrastructure ready for Big Data?
There are a few things you need to consider to make sure your infrastructure is ready.
Audit Data Sources
Before you start a Big Data project, it is a good idea to know what data is available to your organisation – both internally and externally. This means everything from social networking data to relevant data that aligns to your business and sector. Valuable insights can only be gained when collaboratively combine your data sources and are able to take a view, that perhaps your competitors can’t, on who your customer base is and what they want/need. This is why an audit of available data sources is crucial to the start of your Big Data strategy.
Deployment and Implementation
The value nowadays comes from the information you have, not your products. This information is buried within your data and you need an operating system to discover it and establish its value to your business. Investing in a suitable solution will be the key to making the most of your data, and ensuring it is used in an effective and structured manner.
Applications are important
Big Data analytics are not much use without applications, and the right ones at that. While you will generate insights, these can’t remain siloed. These insights must be used to devise new products and services. Agile applications powered by data and insights will enable your organisations to move faster.
Look into the Cloud
When implementing a Big Data project, the Cloud is the ideal solution to ensure that your data can quickly and easily be transferred. A private Cloud environment will also ensure the security and privacy of any data you need to store too – meaning that you can feel safe in the knowledge that it won’t fall in to the wrong hands. Businesses must make sure that they have resources and strategies in place which can attain these outcomes, and that necessitates dedicated solutions.
Make sure bandwidth isn’t a problem
Not all Big Data applications are the same. Some can be bandwidth heavy – such as backups. Others are sensitive to latency, loss or jitter. Others have compliance requirements. This means that no one single network can treat these applications differently unless that network is application aware.
SDN can answer this problem by using different policies for different uses. If bandwidth is needed, a controller can create high capacity links. If latency is necessary, a controller can make sure the shortest paths are always used. If traffic needs isolating for compliance purposes, tunnels can be created by the controller.
Big Data is changing the face of enterprise IT. Advances in technology should help in allowing businesses to take advantage of Big Data. However, IT architects need to carefully plan infrastructure accordingly to ensure that this underpins the business as a whole and move it forward.