Five Things to Consider When Choosing a Data Catalog

February 20, 2019

The self-service data analytic journey often begins with choosing a data catalog. Before businesses can make the most of their corporate data, analysts need the ability to find and use trusted data, share insights about that data, crowdsource quality attributes and have recommendations presented that relate to data sources that have been discovered.Organizations face growing challenges. The volume of data is exploding and coming from various sources structured, unstructured data, IoT, the cloud, etc. thus, driving the growth of the business analytics market. But not all data catalog solutions are the same. The four distinct data catalog types include:Data Lake Catalog works well if all your data is in a single data lake.Data Warehouse Catalog is more ideal for legacy data warehouses and data management.Cloud Catalog for vendors who offer cloud compute and storage, predisposes you have all your data in their cloud.Enterprise Data Catalog does not discriminate where your data is, what structure it is in or any other restriction, but establishes a virtual data layer to bring all your catalog data into one centralized place.

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BI Brainz is a global BI & Analytics consulting and solutions company with its worldwide headquarters in Atlanta, GA and other locations in Kingston, Jamaica, London, UK, and South Africa. BI Brainz uses a proprietary formula evolved over many years and 100’s of successful implementations to help organizations achieve analytics success. The firm accomplishes this by helping large companies transform their organizational culture through established visual storytelling solutions. BI Brainz has successfully implemented solutions for clients such as Nestle, McKesson, FedEx, Ericsson, Kimberly Clark, Proctor & Gamble and Royal Dutch Shell, to name a few.

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