Big Data Platform

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Get in touch with one of our experts to find out how our consulting, technology, and outsourcing services can help your organization transform and perform, and to discuss your business needs in detail.

Big data’s important for enterprises of all sizes and nature is enormous and statistics suggest that Big data is here to stay; however, management and handling of big data is quite a herculean task. Big data analytics and management encapsulate the accumulation of a variety of data from diverse sources such as social media, traditional media, location data, and logistics & supply chain to name a few, and managing it.

Structured and well-formatted data plays a pivotal role in data mining and analysis and opens a plethora of opportunities for enterprises and their data-driven predictability. That’s where Hadoop comes into the picture. Indispensable to large enterprises, today Hadoop is the cornerstone of data management that ferrets out valuable opportunities and renders a competitive edge.

Big Data Services Offered by Ventois

Count on our experienced team of data engineers with in-depth domain expertise for big data strategy consulting and implementation of turn-key big data projects.

Ventois’ analytics solutions help you gain valuable insights into your business data, gauge performance by tracking KPIs (Key Performance Indicators) and to make well-informed and smart business decisions.

Seamless data migration to the Big Data platform to help you access your data anytime, anywhere on the go. Data integration includes all sorts of data- structured, unstructured and semi-structured.

Take data-driven predictability to another level by our reporting solutions. Collect and analyze your vital data with pie charts, spreadsheets & graphs and generate reports with astonishing ease.

Why Ventois For Big Data Services?

  • Reduced hardware costs and optimum computing power
  • Reduced risks and protection of data
  • Guaranteed uptime
  • Experienced Hadoop data engineers
  • Robust infrastructure for optimum performance with parallel processing
  • Synchronize resources with the data platform on the go
  • Low initial investment on IT infrastructure and reduced maintenance costs 24×7 Technical support
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