When storage stacks aren’t enough, this open-source software engineering service lets you engage unstructured data.
Large sets of data can be managed by the Hadoop open-source software project.
Storage engineering services powered by integrated stacks are a common solution for businesses that are responsible for developing and testing new products. The challenge with these setups is the limited ability to search, filter, sort, and group large data sets efficiently – and without the necessary equipment.
Enter Hadoop. This widely popular, open source software project is responsible for helping thousands of organizations store and process big data, including the unstructured variety.
As a unique storage engineering service, Hadoop harbors large sets of data on multiple remote servers, eliminating the need for organizations to host elaborate on-site systems.
Its proprietary file distribution and mapping technology do the heavy lifting by simultaneously processing and organizing millions of files without compromising the speed or quality of the results.
Ultimately, this improves development and testing outcomes by enabling companies to quickly access and utilize the information found in unstructured data.
Is Hadoop the most qualified candidate for the job?
While it is true that every organization has its own technological culture, the Hadoop software easily integrates with existing storage equipment and engineering services.
Its platform can also be beneficial in collecting log data as part of an overall problem-solving initiative within the organization.
Hadoop, you’re hired.