Unlocking the Power of Data Lakes for Embedded Analytics in Multi-Tenant SaaS

Data Science Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-power-of-data-lakes-for-embedded-analytics-in-multi-tenant-saas.
Discover why data lakes are superior to traditional data warehouses for embedded analytics in SaaS applications.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-analytics, #embedded-analytics, #data-lake, #data-warehouse, #qrvey, #b2b-saas, #data-storage, #good-company, and more.
This story was written by: @goqrvey. Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com.
Analytics should extract maximum insight right? Well, to do that, you’ll need complete access to all relevant data. A data lake is a central storage for all kinds of data in its original, unstructured form. Data lakes are generally more cost-effective than data warehouses for embedded analytics use cases.