Insights with Faster Time-to-Value
The analysis of data drives decisions in every business. To gain better business insights, you need to manage the volume, variety, and velocity of data, while applying analytics. With Lenovo-engineered big data validated designs on Lenovo servers, you can harness the power of Apache™ Hadoop® and Apache™ Spark® with Cloudera®, Hortonworks®, and MapR®. Furthermore, Lenovo servers provide highly reliable and flexible foundations for your business analytics solutions so you can unlock the value of your data and deliver insights faster.
- Outstanding scalability so you can grow as your workloads grow
- Industry-leading transaction processing so you can make better, faster business decisions
- High-throughput capacity that enables you to respond more quickly
- Optimized systems and validated designs for faster time to value
Lenovo Big Data Validated Design for Cloudera Enterprise
With the Lenovo Big Data Validated Design for Cloudera Enterprise, Lenovo delivers a certified solution for both Apache Hadoop and Apache Spark environments. These tested configurations perform complex analytics on structured and unstructured data. These offerings provide the planning, design considerations, and best practices for deploying Cloudera Enterprise with a variety of Lenovo products including the high performance capabilities of the Lenovo ThinkSystem SR650 and SR630 servers.
Additionally these validated designs address the deployment of big data platforms with Cloudera Enterprise onto a VMware vSphere virtualized server environment. Supported by Lenovo ThinkSystem servers, this aspect of the Lenovo Big Data Validated Design for Cloudera Enterprise provides administrators with the ability to manage big data solutions in a manner similar to other VMware vSphere virtualized workloads.
For businesses with storage-heavy environments, the ThinkSystem validated design provides an option for independent scaling of compute and storage resources. Utilizing Lenovo SD530 dense compute nodes with cost-effective ThinkSystem D3284 external SAS storage, this decoupled storage configuration gives over 40% more storage capacity per rack. It also allows administrators to optimally size their Cloudera Enterprise environment, eliminating potential overprovisioning of compute resources.
Learn More:
- Design Brief: Lenovo Big Data Validated Design for Cloudera Enterprise
- Reference Architecture: Lenovo Big Data Validated Design for Cloudera Enterprise
- Predefined configurations may be found in the Lenovo Enterprise Solutions Configurator
Lenovo Big Data Validated Design for Cloudera Streaming Analytics
For businesses that need to analyze streaming data in real-time, Lenovo offers a solution that addresses streaming analytics with a unique big data reference architecture. This Cloudera Enterprise architecture for Apache Spark streaming and machine learning utilizes the Lenovo ThinkSystem SR650 for data nodes and the ThinkSystem SR630 for management nodes. The data nodes in this unique offering utilize Intel 8168 platinum processors for supporting a suite of applications including an Apache Kafka data stream processing platform, Hbase database and Elasticsearch analytics engine. Storage for Kafka data stream processing is supported with 4-TB Intel P4500 Series NVMe Solid State Drives which are employed for their high IOPS throughput and bandwidth support. Elasticsearch search data is stored on low-latency Intel® Optane™ SSD DC P4800X Series. This solution is designed and tested to scale from half-rack to multi-rack configurations. This solution is ideal for those who require a high performance, low latency platform for addressing real-time streaming analytics applications.
Learn More:
- Design Brief: Lenovo Big Data Validated Design for Cloudera Streaming Analytics
- Reference Architecture: Lenovo Big Data Validated Design for Cloudera Streaming Analytics
Lenovo Big Data Validated Design for Hortonworks Data Platform
This Lenovo Big Data Validated Design Reference Architecture for Hortonworks Data Platform provides a thoroughly tested and integrated solution that combines the benefits of leading-edge technologies with mature, enterprise-ready features. Starting with a preconfigured hardware platform that is Hortonworks certified, this solution helps your team to be up and running analytics quickly.
The Lenovo ThinkSystem product portfolio serves as the high performance foundation for this solution with the Lenovo ThinkSystem SR630 rack server, SR650 rack server and Lenovo ThinkSystem network switches with speeds up to 100Gbps.
Learn More:
- Design Brief: Lenovo Big Data Validated Design for Hortonworks Data Platform
- Reference Architecture:: Lenovo Big Data Validated Design for Hortonworks Data Platform
- Predefined configurations may be found in the Lenovo Enterprise Solutions Configurator
Lenovo Big Data Validated Design for MapR Converged Data Platform
The Lenovo Big Data Validated Design for MapR Converged Data Platform is engineered to run the latest MapR Edition of the Apache™ Hadoop® and Apache™ Spark® distributions for a simple, reliable and high performance big data solution. On top of the platform services, MapR packages a broad set of Hadoop and Spark open source ecosystem projects that enable big data applications. The goal is to provide an open platform that lets administrators choose the right tool for the job. Built on Lenovo rack servers and Lenovo RackSwitch network switches, this architecture simplifies Hadoop and Spark implementation by combining the extensive API support and ease of use of MapR with the performance and reliability of Lenovo servers and switches.
The Lenovo product portfolio serves as the high performance foundation for this solution with the Lenovo SR650 rack server and Lenovo ThinkSystem network switches with speeds up to 100Gbps.
Learn More:
- Design Brief: Lenovo Big Data Validated Design for MapR Converged Data Platform
- Reference Architecture: Lenovo Big Data Validated Design for MapR Converged Data Platform
- Predefined configurations may be found in the Lenovo Enterprise Solutions Configurator