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Real-Time Data Analytics Services, Solutions And Consulting

Real time and Stream Processing analytics platform and Tools.

Services

Streaming and Real-Time Analytics Services

XenonStack provides analytics Services and Solutions for Real-time and Stream Data Ingestion, processing, and analysing the data streams quickly and efficiently for the Internet of Things, Monitoring, Preventive and Predictive Maintenance. Real-Time Big Data Analytics Services for Enterprises includes below services for enabling real-time decision making, clickstream analytics, fraud detection, Personalised User Experience and recommendations

  • Real-Time Data Ingestion and Processing
  • Batch and Real-Time Analytics Pipeline
  • Scalable Analytics on Cloud
  • Data Lake Management and Implementation
  • Data Warehousing
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Real Time Big Data Analytics and Processing Solutions for Enterprises

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Data Ingestion Platform using Apache Nifi Image

Data Ingestion Platform using Apache Nifi

XenonStack's Data Ingestion platform helps enterprises to process and distribute real time day across several different platforms for further actions.

XenonStack Real-Time Streaming Analytics Tools Image

Real-Time Streaming Analytics Tools

Modern Data Integration Solutions for enabling enterprises to use Big Data Platform with Microservices Architecture using Docker and Kubernetes.

XenonStack Big Data Analytics Platform Image

Big Data Analytics Platform

Real-Time Analytics Solutions for enabling enterprises to Host On-Premises/Public Self Service Presto/Hive Cluster and can enable queries directly on S3/HDFS/GlusterFS

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Modern Data Warehousing Solutions

Big Data Warehousing solutions for Enterprises to Build, Deploy Data lake on On-Premises, Hybrid Cloud, Amazon RedShift, Google BigQuery and Public Cloud.

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Why Enterprise Apps Need Real-Time Data Streaming Solutions?

  • Data Analytics Platform with Apache Spark, Apache Flink and Apache Beam for Real-Time and Stream Analytics
  • Data Integration from any Sources
  • Processing Engine - Streaming, Real Time and Self Service Streaming Analytics
  • Large Scale Data Processing, Kappa, Lambda architecture
  • Visibility and Monitoring across the Data Pipeline
  • Deploy Machine Learning, Deep Learning Algorithms on Large Dataset
  • Deployment of Stream Analytics Solutions on Multi-Cloud

Real Time Analytics Cloud Services

Implementing Real Time Analytics on Cloud

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Real Time Analytics on AWS

Real Time Analytics on AWS with Amazon Kinesis Data Streams,Kinesis Data Firehouse and Kinesis Data Analytics.

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Real Time Analytics on Google

Real Time Analytics on Google Cloud with Cloud BigTable,Cloud BigQuery and Cloud Dataflow.

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Real Time Analytics on Azure

Real Time Streaming Analytics on Azure with SignalR, Event Hubs and Azure HDInsight.

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Real Time Analytics on Open Source

Building Real Time Analytics Platform with Open Source Tools such as - Apache Storm, Apache Flink and Apache Kafka.

Build Real Time Analytics Solutions at Scale

Develop and Run Real-Time Analytics on Streaming Data Building Real-Time Streaming Data Streaming Pipeline at Scale.

Build Real-Time Streaming Platform