Enterprises are increasingly leveraging cloud-based data lakes to run large-scale analytics workloads and tap data-driven insights for better decision making. Cloud-based data lakes offer unmatched elasticity and scalability, enabling businesses to save costs and improve time-to-market.
The first step in creating a data lake on a cloud platform is ingestion, yet this is often given low priority when an enterprise enhances its technology. It’s only when the number of data feeds from multiple sources starts increasing exponentially that IT teams hit the panic button as they realize they are unable to maintain and manage the input.
Self-service ingestion can help enterprises overcome these challenges and unlock the full potential of their data lakes on the cloud. Here are a few of the benefits.