Bare Metal Use Case – Big Data Servers

Big data continues to have a significant impact across various industries, with its influence only growing as more organizations leverage data analytics to drive decision-making and enhance business outcomes.

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The adoption of Big Data and Artificial Intelligence (AI) is rapidly becoming ubiquitous, with approximately 97.2% of businesses now investing in or actively engaging with these technologies.

Despite this widespread adoption, the challenge remains that most companies are only analyzing around 37-40% of their available data. This leaves a significant portion of data unexamined, particularly as around 80% of businesses estimate that 50% to 90% of their data is unstructured. However, those that effectively utilize Big Data solutions see substantial benefits, with an average profit increase of 8%. Reflecting this growing importance, the global Big Data market has surged to over $56 billion in annual revenue, underscoring the critical role these technologies play in modern business strategies.

Source: What’s the Big Data

Big Data Infrastructure Challenges

When using cloud infrastructure for big data applications, users encounter several significant challenges:

Data Security and Privacy

Big data involves handling large volumes of sensitive information, making security and privacy a primary concern in the cloud. This includes managing encryption, controlling access, and adhering to regulatory and compliance requirements. If security practices are not enforced and continuously reviewed, cloud environments can be susceptible to breaches and unauthorized access.

Performance and Latency

The use of cloud infrastructure can introduce latency issues, particularly when processing large datasets or executing complex queries in real-time. Most big data applications require frequent data transfers between the cloud and local environments, and network bandwidth limitations can negatively impact the performance of these applications.

Vendor Lock-In

Migrating big data applications to certain cloud providers can cause vendor lock-in, making it difficult to switch providers or migrate data and applications back on-premises without incurring significant costs and operational disruptions. This challenge can limit an organization’s flexibility and innovation.

Cost Management

Cloud services offer scalability however managing the associated costs (especially on the public cloud) can be challenging. Most public cloud pricing models are dynamic, with costs potentially escalating due to increased data storage, processing power, and data transfer needs. In order to avoid budget overruns, careful monitoring and optimization is necessary.

OpenMetal’s Cloud Integrated or Standalone Bare Metal

With OpenMetal, you own your own private infrastructure, hosted in Tier III data centers.

Security and privacy are inherently built into the platform.

A fixed pricing model for the infrastructure, competitive data egress pricing, and discounts on long term agreements ensure that you get the most ROI out of your Big Data infrastructure spend.

  • Share the same VLANs giving you the best private network performance possible. 
  • Run small workloads in the Cloud, including controlling your bare metal servers.
  • Your bare metal can use services like Block and Object Storage supplied by your Cloud.
  • Add bare metal resources to Virtual Private Clouds inside your hosted private cloud.

OpenMetal’s team has worked closer with us than any other infrastructure provider we have ever had. Their technology is great, but their superpower is a culture of aligning their team with our goals.

Chris Ueland, CEO at Hunt Intelligence

Chris Ueland, Co-Founder & CEO
@ Hunt Intelligence

Big Data Platforms Validated for OpenMetal

The following are some of the most popular big data platforms that can leverage the OpenMetal bare metal infrastructure. If you use a platform not listed here, reach out to our team for a full list.

ClickHouse®

ClickHouse® is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.

Apache Hadoop®

Apache Hadoop® is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data.

Apache Spark

Apache Spark™ is an open-source unified analytics engine that provides an interface for programming clusters with implicit data parallelism and fault tolerance.

Apache Cassandra®

Apache Cassandra® is a is an open-source NoSQL distributed database that manages big data across multiple commodity servers, providing high availability without failure.

Delta Lake™

Delta Lake™ is an open source storage system that heavily leverages object storage and it typically used as part of a Spark data pipeline.

MongoDB®

MongoDB® is built on a scale-out architecture that has become popular with developers of all kinds for developing scalable applications with evolving data schemas.

 For a detailed discussion and assessment of your big data needs, schedule a complimentary consultation.

All trademarks, logos and brand names above are the property of their respective owners. ClickHouse is a registered trademark of ClickHouse, Inc.  Apache, Hadoop, Spark, and Cassandra are trademarks of Apache Software Foundation. MongoDB‘ is a trademark or registered trademark of MongoDB Inc.

OpenMetal Hardware for Big Data Applications

This is some of the enterprise bare metal hardware that can support big data use cases. Reach out to our sales team if you have a specific hardware requirement that you don’t see in our bare metal catalog.

Bare Metal Server – 5th Gen Intel®Xeon Gold 6530, 2048GB DDR5, Micron 7450 MAX

OpenMetal’s XXL v4 bare metal dedicated server is powered by dual 5th gen Intel® Xeon Gold 6530 processors and 2048GB DDR5 RAM.

Bare Metal Server – 5th Gen Intel®Xeon Gold 6526Y, 512GB DDR5, Micron 7450 MAX

OpenMetal’s Large v4 bare metal dedicated server is powered by dual Intel® Xeon Gold 6526Y processors, 512GB DDR5-5200 RAM, and come with two Micron 7450 MAX drives.

TDX: An In-Depth Exploration of Intel® Trust Domain Extensions

Explore Intel® (TDX), a hardware-based technology designed to enhance the security and privacy of virtualized workloads in cloud environments.

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