Mastech InfoTrellis’ diverse expertise in the Big Data space, has helped to assist global enterprises in their Big Data initiatives

  • Performance
    tuning
  • support
  • Design and
    development
  • Solution
    health check
  • Assessment
    workshop
  • Big data
    roadmap
  • Solution
    architecture
  • Integration and
    governance
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  • Technology
    implementation
  • maintenance
  • consulting
  • Big Data
    Portfolio

Our Solutions

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    Big Data
    Analytics Hub

    Mastech InfoTrellis offers managed Big Data Analytics Hub Solution Centered on Hadoop, which enables customers to consolidate multi-channel data of various formats into a single source. Big Data Analytics Hub enables self service analytics by different business functions.

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    AllSight – Customer Intelligence Management

    AllSight Customer Intelligence Management System which delivers Enterprise Customer 360 by ingesting structured and unstructured data from disparate data sources across the organization.

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    IBM Big
    Data Solutions

    IBM Big Data Solutions combine open source Hadoop and Spark for the open enterprise to cost effectively analyze and manage big data. With BigInsights, you spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining valuable insights. IBM provides a complete solution, including Spark, SQL, Text Analytics and more to scale analytics quickly and easily.

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    Informatica Enterprise Data Catalog

    Informatica’s Enterprise Data Catalog provides a machine-learning-based discovery engine to classify data assets, manage and maximize the reuse of all these assets. In just a matter of few seconds, data can be searched, explored and discovered to meet the specific needs across cloud, on-premise and big data

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    Amazon Redshift Cloud Data warehouse

    A fully managed cloud data warehouse built on big data platform, Amazon Redshift is highly scalable and effectively contributes to improved performance by helping organizations acquire new insights on customers, with optimized costs.

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