This Lenovo Big Data Reference Architecture for Hortonworks Data Platform ... The Hortonworks Data Platform, powered by Apache Hadoop and Apache Spark ...
Lenovo Big Data Validated Design for Hortonworks Data Platform Easy to implement hardware, software and services for big data analytics architecture
A big data analytics solution that is easy to implement Big data is more than a challenge. It is an opportunity to find new insights in data to make your business more agile and to answer questions that were previously beyond reach. Today, Hortonworks uses the latest big data technologies such as the massive map-reduce scale-out capabilities of Hadoop to open the door to a world of possibilities. This Lenovo Big Data 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 this solution offering helps your team to be up and running analytics quickly. Hortonworks allows organizations to run large-scale, distributed analytics jobs on clusters of cost-effective server hardware. This infrastructure can be leveraged to tackle very large data sets by breaking up the data into “chunks” and coordinating the processing of the data across a massively parallel environment. Hortonworks deployed on this Lenovo configuration provides superior performance, reliability, and scalability. This architecture supports entry through high-end configurations and the ability to easily scale as the use of big data grows. A choice of infrastructure components provides the flexibility to meet broad range of big data analytics requirements. The Hortonworks Data Platform, powered by Apache Hadoop and Apache Spark is a highly scalable and fully open source platform for storing, processing and analyzing large volumes of data. It is designed to deal with data from many sources and formats in a very quick, easy and cost-effective manner. The Hortonworks Data Platform consists of the essential set of Apache Hadoop projects including MapReduce, Hadoop Distributed File System (HDFS), HCatalog, Pig, Spark, Hive, HBase, ZooKeeper and Ambari. These projects have been integrated and tested as part of the Hortonworks Data Platform release process and installation and configuration tools have also been included. From an architectural perspective, the use of Hadoop and Spark as complements to existing data systems is very compelling: open source technologies designed to run on large numbers of commodity servers. They provide low cost scale-out approaches to data storage and processing and have been proven to scale to the needs of the very largest web properties in the world. Highlights • Validated solution to accelerate the Hortonworks Big Data deployment on a Lenovo platform • This Solution provides building blocks to start small and scale as your data and analytic needs grows • Lenovo delivers this solution as an integrated system with pre-configured servers, storage and networking • A solution which enables data node configuration flexibility and scalability to address a wide variety of customer workload demands either with Spark SQL data processing or HBASE operations
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Lenovo ThinkSystem SR650 & ThinkSystem SR630 servers for a high capacity, high performance and cost effective Big Data solution
Support for Apache Hadoop and Apache Spark Both Apache Hadoop and Apache Spark are fully integrated components of the Lenovo Big Data Validated Design for Hortonworks Data Platform. Apache Hadoop with MapReduce offers support for both batch and streaming analytics. Take advantage of Apache Spark’s distributed in-memory storage for high performance processing across a variety of use cases including batch processing, real-time streaming and advanced modeling and analytics.
Configuration Details The Lenovo ThinkSystem SR650 and SR630 servers serve as the data nodes and management nodes for this solution, respectively. These 2-socket high performance servers are energy efficient and enable the deployment of large cost effective big data clusters. The latest Intel 6130 processors are used and support industry leading high IOP flash storage options. The ThinkSystem SR650 high capacity server utilizes on-board storage, eliminating the need for SAN attached storage to support robust Hadoop and Spark clusters. Lenovo Big Data Validated Design for Hortonworks Data Platform also features the Lenovo ThinkSystem NE10032 100Gb Ethernet switch to support the data network. It is an low-latency enterprise class Layer 2 and Layer 3 switch that delivers line-rate, high bandwidth switching, filtering, and traffic queuing without delaying data.
Why Lenovo Lenovo is a leading provider of x86 servers for the data center. Featuring rack, tower, blade, dense and converged systems, the Lenovo server portfolio provides excellent performance, reliability and security. Lenovo also offers a full range of networking, storage, software, solutions, and comprehensive services supporting business needs throughout the IT lifecycle. With options for planning, deployment, and support, Lenovo offers expertise and services needed to deliver better service-level agreements and generate greater end-user satisfaction.
For More Information Lenovo ThinkSystem SR650 server, ThinkSystem SR630 server and ThinkSystem NE10032 networking switch
To learn more about the Lenovo Big Data Validated Design for Hortonworks Data Platform, contact your Lenovo Business Partner or visit: www.lenovo.com/systems/solutions
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