Solving the Challenges of Hybrid Data Lake Architecture [Video]
The challenge of hybrid data lake management is real. Organizations want a data management platform that provides data accessibility, scalability, security, governance, and control.
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In this Zaloni Zip, we will discuss the challenges of a Hybrid Data-Lake architecture and how Zaloni’s centralized data-lake management platform tackles those challenges head-on.
Migration to cloud is unavoidable for Enterprise IT in today’s world. Enterprises, big or small, are adopting and leveraging public/private cloud technologies to reduce their infrastructure footprint by shifting on-premises ETL workloads to public clouds such as AWS and Azure.
Yet, many organizations are not in favor of total migration to the cloud. Each have their reasons, some have data security, governance, and regulatory compliance concerns, while others have available resources on their existing on-prem infrastructure.
This introduces a concept of hybrid data lake architecture, consisting of public cloud and on-prem systems. However, this approach also creates a very complex data platform as data resides in multiple disparate systems.
The challenge of hybrid data lake management is real. Organizations are looking for a single, unified data management platform that provides them data accessibility and scalability along with security, governance, and operational control.
Published at DZone with permission of Parth Patel. See the original article here.
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