Modern businesses have vast, diverse data that they want to make use of in as many ways as possible, including for analytics. A data lake can serve as a single repository for multiple data-driven projects. InfoWorld brought this topic to us in their article, “What is a data lake? Massively scalable storage for big data analytics.”
Data lakes continue to evolve. Various tools and products support faster SQL querying in data lakes, and all three major cloud providers offer data lake storage and analytics.
Data stored in a lake can be anything, from completely unstructured data like text documents or images, to semistructured data such as hierarchical web content, to the rigidly structured rows and columns of relational databases. This flexibility means that enterprises can upload anything from raw data to the fully aggregated analytical results.
At the end of the day, data needs to be findable, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
