Era of Big Data Addressing the Right Way

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Forrester recently reported that in 20 to 25 years, these companies 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 this year that use the Big Data will be a key strategy to lead the company beat their rivals. For example, retailers who use the Big Data analysis has reported an improvement in operating margins to 60 percent.

Business analytics is increasingly becoming a strategic advantage for many companies in all sectors - from financial services, government and community services to consumer product that has a fast movement.

To answer this, the vendors have been, and will continue, offering new solutions to efficiently manage Big Data. With so many solutions available, how you are unsure which is best for you?

Steven Law, NetApp Country Manager for Indonesia and the Philippines, stressed how companies should start with the right for Big Data management, through the following explanation:

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. Such understanding 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 high bandwidth and require 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.

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, Java-based programming framework supports the process of large datasets in a distributed computing environment.

Open-source solutions for Hadoop allows businesses to utilize their server systems and databases that exist to analyze large datasets. With new technologies, cost reduction is not necessarily going to increase flexibility and performance. Functions to accelerate the adoption of open source Hadoop apliklasi analytically to enhance business intelligence.

Thinking Ahead

Big Data has been ascertained by continuing to grow, the size of petabytes 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 an easy installation of data center 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 emphasis on automation capability secure multi-tenancy, many larger companies need to consider integrating their solutions with Big Data cloud to minimize costs and spurring consolidation.

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.
CHIP magazine

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