Optimizing Big Data Processing

Need Help to Scale Your Architecture to a Hadoop Environment?

Have an Existing Framework that is Slow in Batch Processing?

Get the Best of Both Worlds with Avlino’s Solution Architecture Designs and Acelero Software.

How?

In an ever changing technical ecosystem, realizing efficiencies in data ingestion and processing is a challenge all IT teams face. With massive amounts of data and limited resources, infrastructures are overburdened with new concepts in big data. Scale your architecture with Hadoop technologies and Avlino’s accelerator software to realize the best computing output scenario with the least amount of cost.

Our intricate knowledge of Hadoop MapReduce and Spark offers a distinct advantage to our customers.

Our Process

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Use Case
  • Build POC based on industry pain point
  • Define KPI’s
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Solution Architecture with Scalable Efficiencies
  • Design cost-effective solution architecture specific to your needs
  • Implement Avlino’s Acelero SW to realize maximum efficiencies
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Deployment
  • Beta stage testing
  • Bench mark your current big data set up against Hadoop and Spark/Acelero environment
  • Go live
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Support
  • On-going support to implement new projects expanding the scope of the existing platform

Acelero Software

An important facet to our optimization offering is Avlino’s patent-pending acceleration software. Acelero software accelerates and enhances the Hadoop MapReduce and Spark framework to reduce batch processing time and improve CPU utilization. Our intricate knowledge of Hadoop MapReduce and Spark offers a distinct advantage to our customers.

Features

Acelero is comprised of patent-pending technologies:

Data Sorting
Parallel Processing
Adaptive Caching
Predictive Learning

Benefits

Customer Validation

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XPLENTY-PRESS-RELEASE
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