2 years ago

Category: Business, Database, Data, Architecture

According to a 2021 Accenture report on cloud trends, “the cloud is more than an efficient storage solution — it’s a unique platform for generating data and innovative solutions to leverage that data.” Given that data lakes offer the most affordable and efficient way to handle vast, complex datasets, moving your data lake to the cloud is the next logical step.

If you don’t have a data lake yet, implementing a cloud data lake should be your focus.

However, to get the most of your cloud data lake solution, you’ll want to make sure your cloud data lake stack is analytics-ready, enabling you to turn your data into a strategic competitive advantage. Here are six critical questions to consider when choosing your cloud data lake stack for your business and making sure it is analytics-ready.