HPE Apollo 4000 systems can be the foundation for a modern data lake. In this solution brief, you'll learn more about modern data lakes, why they're still relevant, and how the HPE Apollo 4000 family can provide a performance-optimized building block for them.
What is a modern data lake?
A modern data lake is built on infrastructure that optimizes for both performance and cost-effective capacity. Unlike early data lakes, which primarily focused on batch analytics, modern data lakes must support real-time data streaming, various analytic engines, and diverse workloads. They require flexibility, scalability, and reliability, accommodating both structured and unstructured data while integrating with different storage solutions like object storage.
Why are data lakes still relevant?
Data lakes remain relevant as they provide a centralized repository for managing the exponential growth of data from various sources. Despite challenges like data silos and governance issues, data lakes enable organizations to leverage analytics and AI for informed decision-making. The need for a flexible architecture that can adapt to diverse workloads and data types is crucial for achieving business objectives.
What are the features of HPE Apollo 4000 systems?
HPE Apollo 4000 systems are designed to support a wide range of storage-intensive workloads with flexibility and performance. They feature options like 28 LFF drive bays for cost-effective data lakes and 60 SFF drive bays for high-performance flash storage. Additionally, they support advanced capabilities such as PCIe Gen4, persistent memory, and integration with HPE ProLiant security features, making them suitable for deep data lakes and demanding analytics tasks.
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