To uncover the value in data, analysts need powerful combinations of tools to locate data, wherever they are, and regardless if they are structured or unstructured. Most companies don’t realize that their current data-search approaches can’t access distributed information and can’t extract information within unstructured documents. This severely limits their ability to translate data into profit.

How does big data search and retrieval work?

Traditionally, when you think of search-and-retrieval tools, you picture a search tool that lets you find data based on the parameters you define. This is certainly the case; however, it shouldn’t be the only thing your retrieval tools and process can do, or else your data management—and analysis—will be severely deficient.

Search tools are useful for finding specific files or data, but they won’t reveal anything else unless you ask for it specifically. Although that sounds like a streamlined process, it excludes other data hidden on your across-distributed-data infrastructure. What about those misnamed files that you’ll never find?

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