Solutions for Big Data Management & Analytics

Big Data & Analytics
We offer high performance and cost-effective data management and analytics that will help your business thrive.
Overview
Insights with faster time-to-value
To gain better business insights, you need to take control of the growing volume, variety, and velocity of data. Lenovo-engineered big data validated designs on 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.
We complement industry-leading software to provide:
- Outstanding scalability so you can grow as your workloads grow
- High-throughput capacity that enables you to respond quickly
- Optimized systems and validated designs for faster time to value

Cloudera
Cloudera
Highlights
- Allows businesses to mine their massive amounts of untapped data for valuable insights in an efficient, optimized, and scalable way
- Improved time to value with pretested solution configurations for bare metal and VMware virtualized environments
- Solutions for Cloudera Data Platform and previous versions for compute-heavy, storage-heavy, and streaming data environments
Resources
Solution Briefs:
Lenovo Big Data Solutions for Cloudera Data Platform
Reference Architectures:
Lenovo Big Data Reference Design for Cloudera Data Platform on ThinkSystem Servers

Microsoft SQL Server Big Data Clusters
Microsoft SQL Server Big Data Clusters
Highlights:
- Build a unified platform to process structured and unstructured data
- Integrate Spark and HDFS analytics into a Microsoft SQL Server database
- Enables data engineers and data scientists to harness the power of open source data preparation and query programming libraries
- Process and analyze high-volume data in a scalable, distributed, in-memory compute layer
Resources:
Solution Brief:
Technical Documentation:

Splunk
Splunk

SAP Data Intelligence

Artificial Intelligence

High Performance Computing

ThinkSystem SR650 V2 Rack Server

ThinkSystem DE6000
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