Big Data Service Providers

XenonStack provides Big Data Strategy, Implementation and Management Solutions. Also, Service Offering includes Data Integration, Storage, Processing and building Analytics-Driven Application Development.

Big Data Consulting Services

Big Data Solutions

  • Modern Big Data Integration: Supports Traditional systems, as well as modern Big Data and NoSQL ecosystem.
  • Apache Spark and Apache Hadoop on Kubernetes
  • Real Time & Streaming Analytics with Apache Flink, Apache Spark.
  • Big Data Integration platform with AutoMapper and Lambda based on data transformation pipeline.
  • Data Ingestion & Data Transformation from different Sources (API’s, Databases, Files, Message Queues).
  • Data Modeling and Algorithm Management
  • Build Big Data Stack on Multi-Cloud.
  • Use cases for Healthcare, Telecom, Insurance and Retail Industry.

What we are do in Big Data Services

  • Big Data Consulting Services
    Big Data Consulting Services

    At XenonStack, we provide Big Data Consulting Services, Big Data Assessment, strategy for the Use Case of Big Data Problems. Big Data assessment and strategy will list down different components required from Big Data landscape and the tools, processes to be integrated in the Big Data Strategy and Big Data Implementation.

  • Big Data Infrastructure Solutions
    Big Data Infrastructure Solutions

    Big Data Solutions will deliver effective, highly scalable, optimized Big Data application. Big Data Services supports Reactive programming for developing streaming and event driven Big Data application in Akka framework. XenonStack Big Data Solution enables Infrastructure Automation for Apache Hadoop, Apache Spark Cluster and Different Components.

  • Big Data Integration Solutions
    Big Data Integration Solutions

    XenonStack is the leading provider of Big Data Management Solutions that helps Enterprises meet the Big Data Challenges by making Big Data Integration easy, fast and affordable. Simplify the process of working with Apache Hadoop, MapReduce, Hive, HDFS with Big Data Integration Solutions.

  • Data Lake Solutions
    Data Lake and Data Warehouse

    Big Data Consulting Services provides the consulting, Implementation for building Real time Data Lake and Data Warehouse using NoSQL Databases. Our Big Data Solutions helps you to modernize Data Warehouse with Big Data and enables you to migrate from traditional Databases to New Databases. Big Data Solutions supports Cassandra, Hbase, MongoDb and Druid.

Big Data Solutions for Management and Governance

AWS Cloud Solutions

AWS Analytics and Big Data solutions with Amazon EMR, Amazon Kinesis, Amazon Glue, Amazon Athena, Amazon DynamoDB and Amazon Aurora.

AWS Big Data
Google Cloud Solutions

Cloud DataFlow, Cloud Dataproc and Google BigQuery for Batch and Stream Processing analytics on Google Cloud.

Google Cloud for
Big Data
Microsoft Azure Solutions

Azure Stream Analytics and Data Lake Analytics with HDInsight for IoT and Streaming Solutions.

Azure Data Lake
Container Solutions - DevOps & Kubernetes

Build Data Lake and Analytics Stack using Open Source Apache Spark and Flink, Nifi, and Kafka on Kubernetes and OpenStack.

Open Source Big Data

Solutions And Use Cases

  • Best Practices & Strategy for Infrastructure Deployment, analytics Solutions and Customer Use cases using Open Source Tools and AWS, Google cloud and Azure Solutions. We provide strategy and consulting for designing architecture and Components for Scalable Big Data Infrastructure, Deployment Strategy, Implementation Plan in Phase manner with Monitoring and Security.

Data Driven Enterprises with DataOps

Talk to Experts for Continuous Delivery to Analytics, Machine Learning and Data Management Practices

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Disrupting Industries with Enterprise AI

Accelerate AI Adoption by Harnessing AI Power, Implementing AI Solutions and Leveraging AI Marketplace

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Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling AI

  • Advanced Monitoring
  • Infrastructure Automation
  • Optimizing GPU Usage
  • Deploying Deep Learning Models
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