Around the Storage Block
1825787 Members
2493 Online
109687 Solutions
New Article
Eric_J_Brown

Optimize analytics with HPE Alletra Storage Server 4110 and Trino

Transform your data-driven insights for a competitive edge

Discover how HPE Alletra Storage Server 4110 enhances the performance, reliability, and efficiency of Trino. The result? More effective analytics.

Data is a pivotal element that enriches business strategies and propels innovation. From clicks to purchases, every interaction creates opportunities for savvy decision-making when analyzed effectively.

Think of it like the meticulous task of assembling an intricate jigsaw puzzle. Regardless of size, businesses are engaged in the continuous process of sifting through diverse data fragments, each integral to unveiling a holistic narrative. Much like that oddly shaped edge piece of a puzzle, every piece of data is essential inHPE Alletra-TRINO BLOG.png constructing a comprehensive picture. Every snippet of data is a puzzle piece waiting to find its perfect spot. However, the journey to actionable insights has challenges. Much like searching for a specific puzzle piece among a multitude, navigating through abundant and diverse data requires precision and patience.

In the synergy of challenge and discovery, your business can unlock the transformative power of data, turning raw information into strategic insights that illuminate the path to innovation and growth.

Swift unified analytics

Meet Trino, the multi-tool of distributed SQL query engines. It's fast, scalable, and able to process data from various sources. Imagine pulling the data you need, weaving it all together, and diving into unified analytics without the hassle of shuffling data around or getting tangled up in integration. That’s Trino in action. It streamlines sifting through mountains of diverse data, helping uncover valuable insights essential for informed business decisions.

Enhanced real-time analytics

The HPE Alletra Storage Server 4110 is a robust enhancer of Trino capabilities, optimizing its performance, reliability, and efficiency for effective analytics and execution of complex queries. Housed in a streamlined 1U form factor, these servers efficiently utilize space while offering substantial memory and storage capacities. Engineered for high bandwidth and low latency, the HPE Alletra Storage Server 4110 ensures efficient data processing and analysis. These enhancements enable Trino to accommodate a higher volume of concurrent users and operations, a critical aspect for analytics requiring rapid data access.

Picture1.png

The HPE Alletra Storage Server advantage

The HPE Alletra Storage Server 4110 is part of a broader family of storage servers designed to address various business needs. Different models are optimally configured for varied workloads within the HPE Alletra Storage Server 4000 series. For example, the HPE Alletra Storage Server 4120 is a hybrid NVMe 2U server that’s well-suited for analytics data lakes and active archives. The HPE Alletra Storage Server 4140 is a reliable option for those needing high-throughput bulk storage, fitting for functions like medical imaging and e-discovery. Moreover, ease of management is a notable feature, courtesy of the HPE GreenLake edge-to-cloud platform. This interface ensures that handling the complexities of operations management, regardless of location, is streamlined and user-friendly with HPE GreenLake for Compute Ops Management.

When you pair modern data lakes on the HPE Alletra Storage Server 4120 or 4140 with Trino on the HPE Alletra Storage Server 4110, the journey to achieving actionable insights from the intricate jigsaw puzzle of vast and diverse data transforms. Storage-centric workloads reside on storage servers optimized for those workloads, while a skilled puzzle enthusiast helps swiftly place the multitude of distinct complex puzzle pieces into their rightful positions. This solution aids your business in enhancing your data-driven projects, utilizing extensive and varied data assets to gain a competitive edge in the market.

Ready to learn more?

Read the technical brief: Accelerating distributed SQL with HPE Alletra Storage Server

Watch the video on the value of running Trino on HPE Alletra Storage Servers.


Eric Brown
Hewlett Packard Enterprise

twitter.com/HPE_Storage
linkedin.com/showcase/hpestorage/
hpe.com/storage

0 Kudos
About the Author

Eric_J_Brown

Eric Brown is a Solutions Engineer for Hewlett Packard Enterprise (HPE) with more than 20 years of experience installing and configuring HPE Storage products. Eric has produced a variety of technical documentation to enable field engineers, customers, and pre-sales. These include product best practices and guidance for performing complex operations.