Data lakes have become more common and unfortunately as data – unstructured, semi-structured, and structured – continues to multiply at a phenomenally rapid pace, they will continue to be more frequent. This interesting information came to us from DataInformed in their article, “Avoiding Three Common Pitfalls of Data Lakes.”
A single repository for integration, access, and analytics purposes is rapidly emerging as the preferred way to manage big data initiatives, but it doesn’t come without pitfalls. There are also benefits. Data access is expedited and data are stored with minimal data preparation, further fostering the democratization of big data while reducing the complexity of its associated technologies. However the biggest advantage is the cost-effectiveness of data lake deployments.
The presence of big data and the massive quantities of information that organizations encounter daily has made these extremely scalable and cost-effective data lakes that are vital to contemporary data management.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
