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BIG DATA AS A SERVICE

Frictionless big data storage, processing and analytics in the secure cloud.

Get the mostfrom your big data

Our Big Data as a Service solution provides virtually unlimited resources in a high-performance computing cluster, while simplifying management with the assistance of a dedicated team of data science experts and Cloudera Manager for Hadoop.

Benefits

Maximum performance

Maximum performance

Help ensure high performance for compute-intensive workloads with Big Data as a Service—deployed on the Lumen Cloud Bare Metal servers and configured for big data applications.

Highly available

Highly available

Keep jobs moving and data available at all times with the Lumen Managed Services Team. Along with the Hadoop’s model, we will keep your system running so that your big data solution can sustain virtually anything.

Fully managed services

Fully managed services

Focus on turning big data into your biggest business advantage with a fully managed platform that includes infrastructure, end-to-end network security, monitoring and support.

Features and Specifications

  • Help client leadership teams effectively align business and technology objectives
  • Prioritise use cases identified as business critical
  • Perform up-front needs assessment and requirements definition
  • Delivery of phased roadmap, TCO, value realisation and change management plan

  • Data scientists with domain and industry expertise
  • Vast experience with industry models and methodologies
  • Access to advanced visualisation, modelling and automation tools
  • 60+ packaged industry use case implementations
  • Proven success in rapid deployment of solutions

  • Certified Cloudera engineers: A team of Lumen administrators, developers and architects trained and certified–delivering use-case-driven expertise
  • Cloudera Manager: An end-to-end management application for Apache Hadoop
  • Apache Hadoop: Reliable, scalable distributed storage and computing
  • Hue: Apache-licensed browser-based desktop interface for Hadoop
  • Flume: Distributed framework for collecting and aggregating log and event data, and streaming it into HDFS or HBase in real-time
  • MapReduce and Yarn: Distributed computing framework for Apache Hadoop
  • HBase (with HBase Option): Scalable record and table storage with real-time read/write access
  • Hive: Metadata repository with SQL-like interface and ODBC/JDBC drivers for connecting BI applications to Hadoop

  • Solution deployed on Lumen Bare Metal Cloud servers: 20 core (2x10), 256 GB RAM, SSD and HDD; Intel Xeon E5-2650 v3 @2.3 GHz and 2x 800 GB Raw SSD | 12x2 TB Raw @7200rpm | 24 TB JBOD Configurable
  • Maintain licensing and software assurance with Cloudera
  • Prepare server for application service (OS specific parameters)
  • Install and QA Hadoop software, Cloudera management tools and monitoring
  • Configure connectivity for host headers, TCP, IP's and SSL
  • Server, cluster and network monitoring
  • Restart/stop/start services
  • Update managed servers with recommended security patches, minor updates and hot-fixes upon customer request
  • Perform node repair/extraction/insertion without impacting customer use

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