Managing unstructured data to boost performance, lower costs
Effectively managing rapidly growing unstructured data is crucial for optimizing performance, reducing costs, and ensuring regulatory compliance.Summary
Unstructured data, encompassing logs, IoT data, social media, and more, is growing faster than traditional data types. Ignoring its management leads to escalating costs due to storage, replication, and the need for frequent infrastructure upgrades. Simply adding capacity to primary storage is financially unsustainable, as it consumes expensive resources and increases licensing fees. Organizations should prioritize capturing, harvesting, parsing, and analyzing metadata to intelligently tier data to more cost-effective storage solutions like cloud or tape.
Several tools, including Aparavi, iRODs, Komprise, and others, assist in this process by classifying data and automating its movement based on access frequency and requirements. Selecting the right system requires careful consideration of factors like upfront data migration needs, indexing requirements, scalability, and automation levels.
Proper unstructured data management not only lowers costs but also improves compliance with privacy regulations like GDPR and simplifies e-discovery processes. By strategically managing this data, organizations can reduce their overall storage footprint, improve data accessibility, and minimize potential legal risks.
(Source：Techtarget)
