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Big Data - Professional Services

Use Case Discovery

In-depth discussions with our teams about your objectives and strategy will help assess / distinguish use cases that will be the most impactful to your business and decision making. Our solution architects and partners will help you understand use case requirements, investments and potential benefits Hadoop analytics can have on your success. We will delve into your current data sets and assumptions, business goals and requirements, file systems, data types and more to identify and prioritize optimal use cases. We will recommend and document your best case scenarios, optimal architecture and outline the integration process.

Capacity Planning

Capacity planning, the analysis of resources health and usage and data growth trends, is a key component regardless of where your organization is in its use of Hadoop Clusters. Whether you’re investigating, planning or using the Hadoop platform for business analytics, it is important to find the right team and tools to identify the biggest consumers of your cluster resources. Groupware partners with Cloudera, whose Cloudera Manager (Cloudera Enterprise 3.7) solution greatly assists with the optimal deployment and management of Hadoop clusters from inception through the end of life cycle.

Hadoop Infrastructure Design

Unstructured data for analytics must be stored and accessed differently than core enterprise data, the thinking and analysis is iterative. We will design your big data storage infrastructure using best practices with an in-depth understanding of the unique data, analytics and complex requirements of Hadoop initiatives. Our experience with Hadoop design and integration protect the accuracy, performance and reliability of your Hadoop platform. We can maximize your storage investments, reduce risks and assure that your Hadoop cluster performs optimally and can easily scale as your data and workloads evolve.

Proof of Concept

We’ve invested in a complete datacenter laboratory infrastructure — floor space, bandwidth, power, cooling, and full keycard access control — to answer the call for realistic testing and integration services. We will work with customers and partners to evaluate the potential big data analytics can have on your, business and systems before you invest. We will closely examine the use cases and goals to prove the prototype functionality and will document the process and results for use in production. A POC entails the architecture design, installation of Apache Hadoop and other technologies, data load and results testing. We then provide documentation of the process and findings a production pilot recommendations.

Production Pilot

We will install and tune the Hadoop cluster and related technologies and for a broader rollout. We can work with other technology partners to deliver a production-ready system that includes Hadoop clusters and other related technologies. We will install and tune production sets, document support for ongoing maintenance and work with Cloudera to setup and test algorithms and map reduce jobs.

Hadoop Cluster Deployment

Our system integration team and specialized facilities are investments we’ve made in lowering your cost of ownership, minimizing downtime, and providing seamless integration of your Hadoop cluster environment. Our engineering team will deliver a ready to deploy, flexible and scalable Hadoop stack that can handle big data analytics specific to your data sets and workloads. Utilization of our production-ready cluster integration reduces your risks, speeds integration and will help ensure your Hadoop infrastructure is ready for production use on delivery.

  • Custom OS load - Linux, Solaris and Windows
  • General component integration
  • Load proprietary software
  • Asset label and tag
  • Product testing and staging
  • Multi-hour burn in/testing to eliminate DOA units

Big Data / Storage

Stored data, in most cases, represents unrefined value for business decision making - and the new-generation tools for business analytics provide revenue enhancing opportunities. Decoupling compute from storage and designing open storage infrastructure lowers your TCO and avoids unnecessary storage spend.

Groupware storage solutions for Big Data Analytics include:

  • Scale-out NAS
  • Object-based storage
  • Clustered storage
  • Storage as a Service (SaaS)
  • Hadoop – Cloudera architecture