Key takeaways
- Data lakes have become essential for businesses to manage vast amounts of data effectively.
- AWS Lake Formation is not the only option available for developers seeking data lake solutions.
- Microsoft Azure Data Lake offers robust capabilities for storing and processing data efficiently.
- The rise of data lakes is driven by the need to handle petabytes and exabytes of business data.
We recently covered an article on AWS Lake Formation and how it is going to make dealing with big data and large databases quite easy. While it recently announced the general availability of Lake formation to help developers, it’s not the only data lake available for developers to run their analytics and machine learning algorithms.
In this article, let us check out a few alternatives of AWS Lake Formation that have been enabling data scientists to deal with large data volumes.
The importance of data lakes has increased dramatically in recent years to capture every aspect of your business operations in data form. As a result, there is petabytes and even exabytes of data that companies have to deal with storing and computing. This is where data lakes come into the picture and many companies are providing economical ways of storing the data.
