
Data lakes and data warehouses are data storage solutions that are often integration targets for ServiceNow.
In this post, we address the differences between data lakes and warehouses, to help ServiceNow users make informed decisions as to what to integrate their ServiceNow data with.
What Data Lakes and Data Warehouses Have In Common
Data lakes and data warehouses are similar, in that they help organizations store and use data more efficiently. Both allow data to be collected from a number of sources.
As such, connecting ServiceNow to data lakes and data warehouses via integrations is common.
Such integrations break down data silos, allowing organizations to combine data from disparate sources to create a unified view – a single source of truth – to support operations and business decisions.
Example use cases for integrating ServiceNow data with a data lake/warehouse include analytics & reporting, data archiving, backups, business intelligence, machine learning, and artificial intelligence. Continue on https://www.perspectium.com/blog/integrating-servicenow-with-a-data-lake-or-data-warehouse/
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