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VVDN helps organizations leverage big data and business intelligence to help extract significant value from a diverse set of real-time and large-scale databases. Our experts enable consolidating a massive volume of structured, unstructured, and semi-structured data that can be used for analytics and identifying insights for new business opportunities. We have expertise with popular open-source technologies like Apache Hadoop, Spark, and Kafka as well as public cloud services including S3 lake formation, Azure blob storage, Amazon Athena, Redshift, Databricks, BigQuery, and many others that help deliver comprehensive engineering services for storing, processing, and analyzing large sets of data. In-depth knowledge to train models like YOLO, Mobilenet, etc our team has experience in designing and developing customized models as per requirement. Having expertise in various visualization tools like Tableau, D3 charts, Highcharts, Grafana, etc. enables to present complex data in an accessible way to see and understand trends. Our ability to work in an agile environment helps our customers with a competitive edge which leads to smarter business moves, efficient business operations, and higher profits.


Cloud Managed Services Experience in training and designing customized models
Cloud Managed Services Expertise in deploying, and integrating different components
Cloud Managed Services Data as a service with on-demand access to information
Cloud Managed Services Responsible and smarter artificial intelligence
Cloud Managed Services Big data test automation, and storage optimization
Cloud Managed Services Scalable AI to enable better learning algorithms
Cloud Managed Services Expertise with visual dashboards to present complex data

Leading experts to enhance the most challenging tasks with big database

Competency with AWS, Microsoft Azure, and GCP big data services

Better and faster decisions by accelerating time to insights

Experience and certified AI professionals for predictive analytics, real-time analytics, and machine learning