How to Feed a Data Lake for Real-Time Analytics
September 21 @ 12:00 pm - 1:00 pm BST
Are you ready to integrate high volumes of data from disparate sources into a cloud-based data lake? Or are you looking to leverage your current data lake for real-time business insights and advanced analytics?
Although data lakes are an efficient solution for complex data challenges, many technical challenges arise when feeding a data lake.
Also, knowing how to leverage the data for real-time analytics and decision-making is critical to remaining competitive, improving operational efficiencies, and enhancing the customer service experience.
During this demo, HVR’s Solutions Architect will:
- Explain the general considerations for feeding a data lake
- Explore real-world examples of data lake architectures
- Discuss common problems and solutions with the initial onboarding process
- Show you how HVR accelerates high volume data movement into a data lake with little to no impact on systems