3 Ways of Managing Invasive 'Big Data'

Forrester recently reported that in 20 to 25 years, companies will only use 5% of their data, so missed the opportunity to differentiate themselves with a wealth of intelligence that can be provided by their corporate data. Support this finding, McKinsey's Global Institute also reported in 2011 that the use of big data will be a key strategy to lead the company beat their rivals. For example, the big retailers who take advantage of the data analysis has reported an increase in operating margins to 60%. Yes, that's the big plus minus alias has a lot of data collection related data flows and business operations. Big data can be a positive thing if the company can take advantage of these data as a value-added. On the other hand, the data will actually be a big burden for companies that only stores these data without knowing what to do. It is increasingly asserted its role of business analytics as a strategic advantage for companies in all sectors - from financial services, government and community services to consumer product that has a fast movement. From the industry side, the vendors were actually has and will continue to offer new solutions to efficiently manage big data. But with so many solutions available, how you are unsure which one is best for your company? Steven Law, NetApp Country Manager for Indonesia and the Philippines, providing tips and tricks so that companies can start with the proper management of their Big Data.

1. Clarify your needs

Now the company has a very large amount of data that must be taken care of, and it is important for them to know how many and what types of data generated. Understanding that will guide you to decide the most appropriate solutions and efficient that can help manage your data efficiently, and explore the intelligence that can be taken for your business. For example, a company that runs the system of High Performance Computing (HPC) tend to have higher needs for data access and storage. Speed and agility of this supercomputer requires the same storage system to support flexible and efficient flow of data generated. If the company operates with a high bandwidth and need quick results, you should look for paralleling systems such as Lustre filing.These systems provide scalability for the needs of present and future while optimizing storage configurations to more robust performance.

2. Implement appropriate management tools

After adopting the solution, it is important to ensure that your storage providers offer the appropriate management tools. Having an open source solution that can facilitate the integration of IT infrastructure and management tools are new and the previous one. "Hadoop is an example of one such solution. Created to meet the challenges of big data, this Java-based programming framework to support the process of large datasets in a distributed computing environment," said Stephen, in his statement to ITGazine, Tuesday (27/12/2011) . Open source solutions for Hadoop allows businesses to take advantage of server systems and their existing databases to analyze large datasets. With new technology, cost reduction is not necessarily going to increase flexibility and performance. Function of accelerating the adoption of open source Hadoop apliklasi analytical business intelligence to improve.

3. Thinking ahead

Big Data is certainly continue to grow, the size of the Petabyte will soon be replaced with Zetabyte. Therefore, it is important to have a scalable infrastructure that the company is ready to meet future needs. Has a comprehensive IT architecture for easy installation of a data center that provides the ability for future expansion. In addition to the solution on premise storage and processing, the company also needs to consider moving to the Big Data cloud. With a focus on automation capability secure multi-tenancy, many larger companies need to consider integrating their solutions with the Big Data cloud to minimize costs and spur consolidation, "said Stephen. Big Data brings a wealth of information that can be used for business. In order for this to happen, companies need to implement data storage and processing solutions are appropriate. "With the right solution to manage the data, then the time can be spent more efficiently to perform an analysis of the data that will yield business benefits," Stephen insisted.