Big Data as a Service

A comprehensive Big Data solution that integrates Cloudera Hadoop Managed Services on CenturyLink Cloud Bare Metal Servers and Data & Advanced Analytics consulting expertise, delivered over our secure infrastructure and network.

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Enterprises are wrangling a mountain of data on a mole hill of compute and storage resources. In an attempt to solve this problem, IT departments have begun to explore Big Data solutions such as Apache Hadoop. But for many businesses, the need for technical expertise and support often overshadows the lure of free do-it-yourself applications, especially when there are critical IT systems at stake. And once collected, how can data be effectively leveraged into actionable insights?

CenturyLink has the answer. Our Big Data as a-Service provides potentially unlimited resources in a high-performance computing cluster and simplifies management with the assistance of a dedicated team of Data Science experts and Managed Cloudera Hadoop.

We begin the engagement with our Data-to-Decisions Workshops, where our expert Big Data Architects collaborate with the customer's management team, aligning business and technology objectives to deliver a pilot Data Platform scope and Phased Roadmap.

Storage, processing and management components are then deployed on Bare Metal Cloud servers — a flexible, efficient, scalable environment for processing data — and delivered via CenturyLink’s secure network and infrastructure. Read what 451 Research has to say about our comprehensive solution.

Big Data as a Service from CenturyLink

Big Data as a Service Comprehensive Feature Set


Advanced Analytics Consultation

  • Data-to-Decisions Workshops: The team guides clients every step of the way – starting with our Data-to-Decisions Workshops leveraging proven methodologies to:
    • Help client leadership teams effectively align business and technology objectives
    • Prioritize use cases identified as business critical
    • Perform up-front needs assessment and requirements definition
    • Deliver Phased Roadmap, TCO, Value Realization and Change Management Plan
  • Dedicated Team of Experts: To ensure efficiency and alignment with each customer's unique business and IT objectives, CenturyLink assigns a dedicated team of experienced Data Scientists and Big Data Architects to facilitate each engagement from concept through implementation and data analytics.
    • Data Science Practitioners with Advanced Degrees and Domain & Industry Expertise
    • Vast Experience with Industry Models & Methodologies
    • Access to Advanced Visualization, Modeling & Automation Tools
    • 60+ Packaged Industry Use Case Implementations
    • Proven Success in Rapid Deployment of Solutions

Compute and storage are isolated to ensure a high level of performance for compute-intensive workloads or “batch” jobs needing bursts of compute power for a short time.

Cloudera Manager for Big Data Service

Cloudera Platform Features

  • Certified Cloudera Engineers: A team of CenturyLink administrators, developers and architects trained and certified – delivering use-case-driven expertise.
  • Cloudera Manager:一种用于Apache Hadoop的端对端管理应用程序
  • Apache Hadoop: 可靠、可扩展的分布式存储和计算
  • Hue: 用于Hadoop的已获得Apache许可、基于浏览器的桌面界面
  • Flume: 分布式框架,用于收集和综合日志与事件数据,并实时流式传送到HDFS或HBase
  • MapReduce & Yarn: Distributed computing framework for Apache Hadoop
  • HBase(带HBase选项):可扩展的记录和表格存储,提供实时读写访问
  • Hive: 元数据储存库,具有类似SQL的接口和ODBC/JDBC驱动程序,以便将BI应用程序与Hadoop相连接

Deploy Big Data Solution on Bare Metal Servers

Managed Activities

  • Hosting: Solution deployed on CenturyLink Bare Metal Cloud servers
    • 20 core (2x10), 256 GB RAM, SSD & HDD; Intel Xeon E5-2650 v3 @2.3 GHz
    • 2x 800 GB Raw SSD | 12x2 TB Raw @7200rpm | 24 TB JBOD Configurable
  • License: Maintain licensing and software assurance with Cloudera
  • 安装
    • 准备用于应用程序服务的服务器(操作系统相关参数)
    • Install & QA Hadoop software, Cloudera management tools & monitoring
  • Connectivity: Configure connectivity for host headers, TCP, IP's and SSL
  • 管理
    • Account Access
    • Server, Cluster and Network monitoring
    • 重启/停止/启动服务
    • 根据客户请求,通过推荐的安全性补丁、次要更新及快速修护,更新托管的服务器
    • 执行节点维修/抽出/插入,而不影响客户使用

Unique Benefits of CenturyLink Big Data as a-Service

Maximum Performance for Big Data Solutions

Our Big Data service is deployed on the CenturyLink Cloud Bare Metal servers configured specifically for Big Data applications. Compute and storage are isolated to ensure a high level of performance for compute-intensive workloads or “batch” jobs needing short bursts of compute power.

One-stop-shop for Big Data Service.
Data-to-Decisions Workshops

Expedite time-to-value with our Data-to-Decisions Workshops. Leverage our Data Analytics and Cloudera experts to quickly formulate and deliver a Big Data solution that's fully aligned with business objectives. It's a comprehensive White Glove service, from needs assessment to analytics and insights.

Highly Available

Keep jobs moving and data available at all times. In addition to Hadoop's innate redundancy model, the CenturyLink Managed Services Team will keep the entire system running at peak efficiency so that the Big Data solution can sustain anything, and the data is where and when needed.

Fully Managed Big Data Service
Fully Managed Services

When Hadoop is offered on IaaS, users carry the bulk of the responsibility. With CenturyLink providing a fully managed platform, including infrastructure, network, monitoring and support, customers can concentrate on developing and managing jobs and workloads while focusing on turning Big Data into their biggest business advantage.


CenturyLink Cloud Big Data as a Service is secured for a global workforce. Customer and enterprise data remains secure and compliant with our enterprise-class infrastructure, network and Managed Security services.

Expert Data Scientists
Data & Analytics Expertise

Our certified Data Scientists and Big Data Engineers assist with conceptualization and implementation. We provide a dedicated team to help formulate, deliver and support the solution according to each customer's business and technology objectives.

Big Data as a Service Use Cases

Speed and Performance

Big data applications demand the highest performance in computing power, with sporadic and unpredictable surges. In many cases, the volume of users and data ingested grow at a faster rate than physical hardware can be scaled. This creates increased workload demands on existing infrastructure causing overall degradation of user experience and data processing.


Enterprises amass reams of data every day, and the expectation to access and process data in real-time has become the norm. Meanwhile, the very nature of business data consumption is evolving. Organizations need to combine old and new data from a broad range of sources, interact with that data in multiple ways, aggregate and analyze that data intelligently, and rapidly iterate on the results.


Internet of Things (IoT) is one of the top drivers for the pursuit of Big Data by organizations today. Analysts predict there will be 28 billion IoT connected devices in use by 2020 worldwide, with a 1美元.7US trillion economic value. That amount of data represents an order of magnitude greater than anything previously approached, in terms of both scale and value.


Interested in learning more? We'll schedule a no-obligation consultation to discuss your unique Big Data challenges and see how CenturyLink can help you solve them.

Cloudera Hadoop CDH
on the CenturyLink Cloud Marketplace

Our strong alliance with Cloudera allows for integration of our scripts with Cloudera’s API to drive fast deployment on the servers. Quickly and easily deploy a simple 6-server cluster with Cloudera CDH v5.8.X agent installed, right from the CenturyLink Cloud Marketplace. This is an easy way to start seeing the value of Cloudera Hadoop can deliver to solve specific business challenges. Use our Cloud Estimator to understand your costs.

We offer flexible BDaaS "Quick Start" solutions designed to meet the needs of any Big Data Strategy. "Quick Start" engagements can span from three to 12 weeks, based on the number of use cases and complexity of deployments and environment.

  • One-day to two-week Data-to-Decisions Workshop. Scaled based on scope and complexity.
  • Determine Business Intelligence (BI) or Analytics Use Case.
  • Up-front Data Platform Needs Assessment.
  • Assistance building a Data Platform for the identified business use case, including Data Ingest, Storage and Access Methodology.
  • Ongoing call support.

Contact us for a no-obligation, custom consultation.

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