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®, IBM® and MapR®. 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 and 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.
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. 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 IBM SQL Analytics
SQL Analytics on Big Data clusters is now an essential workload for all enterprises. This workload is gaining adoption both for its features and its performance. Spark SQL enables organizations to realize the benefits of real-time analytics and gain faster insights in today’s competitive business environment.
This solution supports the deployment of either Apache Spark SQL or IBM Big SQL. Consequently, this solution provides significant performance and cost advantages for analyzing massive datasets with its in-memory processing engine and support for running SQL analytics. With this solution either Apache Spark SQL or IBM Big SQL may be deployed on a distributed cluster of Lenovo ThinkSystem SR630 Management nodes and ThinkSystem SR650 Data nodes. In combination with Intel NVMe drives and a Lenovo NE10032 100Gbps high speed data networking switch the following key capabilities of this solution can be realized:
- Obtain big data nodes that are pre-configured, validated and delivered for scalable SQL analytics
- Deploy a high performance SQL analytics solution using Apache Spark SQL or IBM Big SQL
- An energy efficient optimized cluster delivering extreme performance in a small data center footprint
- Achieve faster time to analytics and leverage scalability
Learn More:
- Design Brief: Lenovo Big Data Validated Design for IBM SQL Analytics
- Reference Architecture: Lenovo Big Data Validated Design for IBM SQL Analytics
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® distribution for a simple, reliable big data solution. On top of the platform services, MapR packages a broad set of Apache™ Hadoop® 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 the Lenovo System x3650 M5 and System x3550 M5 high performance servers and Lenovo RackSwitch switches, this architecture simplifies Hadoop implementation by combining the extensive API support and ease of use of MapR Hadoop with the performance and reliability of Lenovo servers and switches.
Learn More:
- Design Brief: Lenovo Big Data Validated Design for MapR Converged Data Platform
- Reference Architecture: Lenovo Big Data Validated Design for MapR Hadoop
- Predefined configurations may be found in the Lenovo Enterprise Solutions Configurator