Data Lakes Storage Systems

What is a data lake?

A data lake is a centralized repository that allows you to store all structured and unstructured data at scale and run flexible analytics such as dashboards, visualizations, big data processing, real-time analytics, and machine learning, to guide better decisions.

Legacy storage architectures

Legacy storage refers to older, often less flexible storage solutions that may not be fully compatible with newer technologies or systems. It can include hardware and software that are still in use but haven’t received updates or support for some time, leading to potential challenges in performance, scalability, and security. Key Characteristics of Legacy Storage are

• Outdated Technology
• Limited Scalability
• Security Risks
• Integration Issues
• High Maintenance Costs

Some examples of Legacy Storage include Mainframe systems, Tape-based storage, Legacy file systems

For a basic MySQL lab environment on CentOS, a moderate amount of RAM and hard disk space will suffice. A good starting point is 4 GB of RAM and 100 GB of hard disk space. Organizations are increasingly turning to data lakes for storing all of their data with the economics of on-premises infrastructure. Data lakes have three characteristics that make them compelling for this purpose. They typically store data in its native format, including structured, unstructured, and semi structured data for applications including data warehouses, big data, and AI training data. They provide a high level of security including support for immutable files and objects that can protect active data as well as backups, ensuring they can recover from ransomware attacks. Finally, data lakes are elastic and can grow as needed, economically, to store massive amounts of data. Supermicro offers a range of storage servers built to support the needs of the various types of data lakes.

STORAGE SYSTEMS FOR TRADITIONAL DATA LAKES

TOP-LOADING SYSTEMS

A variety of 4U top-loading storage servers deliver the ultimate in scale-out configurations. Each system boasts 60 or 90 3.5” hard-disk drives that are connected to a single node, or which re split between two  nodes. This enables flexible configurations that optimize performance. Choose two node systems when you need the highest performance or bandwidth.

Simply Double systems

Supermicro Simply Double systems support 24 3.5” hard-disk drives in a compact 2U form factor, double what most 2U systems can support. Powered by AMD EPYC™ processors, you can run storage applications on the server with your choice of number of cores per processor.

STORAGE SYSTEMS FOR HIGHPERFORMANCE DATA LAKES

SUPERMICRO PETASCALE STORAGE SERVERS

Supermicro Petascale storage servers are ideal for supporting all-flash data lakes. They open the door to the future with high-density and high-performance Enterprise Datacenter Standard Form Factor (EDSFF) NVMe drives, with 16, 24, and 32 drives, respectively. Our 16- and 32-drive servers are powered by a single 4th Gen AMD EPYC™ processor with up to 128 cores for high throughput. These servers are populated with EDSFF E3.S drives. Our 24-drive system is a 1U server populated with ESDFF E1.S drives for high density. Each of these servers support PCIe 5.0 x16 network interfaces for connectivity with the fastest interfaces available, for example the NVIDIA ConnectX®-7 card with 400 Gb/s of InfiniBand bandwidth.

HYPER 1U

The 1U Hyper DP is a 2-socket server is powered by the latest AMD EPYC™ 9005 Series processors and is a flexible platform that hosts up to 12 NVMe, SAS, and SATA3 drives. The platform is optimized for performance and reliability, including a tool-less physical design that makes it quick and easy to repair. These factors contribute to the Hyper 1U server being the foundation of economical scale-out storage solutions.

CLOUDDC

The 1U CloudDC system is a single-socket, Open Compute Project (OCP)-compliant server that also supports hosts up to 12 NVMe, SAS, and SATA3 drives. With a single AMD EPYC 9005 Series processor with up to 192 cores, the CloudDC system strikes a balance between CPU power and storage capacity that is often ideal for softwaredefined storage deployments.

Supermicro

Supermicro, a leading server hardware vendor, offers solutions for building data lakes, which are centralized repositories for storing diverse data types, including structured, semi-structured, and unstructured data. Supermicro’s servers, often featuring AMD EPYC processors, are designed to handle the large volumes and diverse formats of data typical of data lake architectures. They support object-based storage protocols like Amazon S3, enabling scalability and flexibility for various data lake applications, including AI and analytics.

Key Aspects of Supermicro Data Lake Solutions:

• Scalability and Flexibility
• Performance and Efficiency
• Diverse Data Formats
• Object-Based Storage
• Improved Data Accessibility
• Advanced Analytics
• Schema-on-Read

Conclusion

In this blog, we got introduced to Data Lake Storage Systems. We looked at various types of infrastructure available for various use cases of data lake. While some are used for traditional legacy data lake requirements, others are used for high performance  requirements. To conclude, we looked at one of the largest producers of high-performance and high-efficiency servers and its benefits.

About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is the first Indian Company to win the prestigious Microsoft Partner 2024 Award and is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, AWS GenAI Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner,  AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, Amazon ECS Service Delivery Partner, AWS Glue Service Delivery Partner, Amazon Redshift Service Delivery Partner, AWS Control Tower Service Delivery Partner, AWS WAF Service Delivery Partner, Amazon CloudFront, Amazon OpenSearch, AWS DMS, AWS Systems Manager, Amazon RDS, and many more.