Real-Time and Stream Analytics Service Providers

Don is offering Services and Solutions for data analytics services and Solutions for real-time and stream processing for IoT, Monitoring, Preventive and Predictive Maintenance.

Big Data and Advanced Analytics Solutions

Data Analytics Solution for Stream and Real-Time Processing

  • Data Analytics Platform with Apache Spark, Apache Flink and Apache Beam for Real-Time & Stream Analytics
  • Data Integration from any Sources
  • Processing Engine - Streaming, Real Time & 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
Data Ingestion and Data Processing for IoT and Big Data Solutions

Data Ingestion and Data Processing for IoT and Big Data Solutions

Don Big Data Consulting Services provides Data Ingestion, Data collection and Data Processing Solution for IoT and Big Data Solutions. Enterprises can integrate data from any Source, can process Batch Streaming Real Time and Deploy Deployment on Kubernetes and Public Cloud.

Real-Time Data Processing on Docker and Kubernetes

Real-Time Data Processing on Docker and Kubernetes

Our Modern Data Integration Solutions enables the enterprises to use Big Data Platform with Microservices Architecture using Docker and Kubernetes. Streaming and Real Time Data Analytics with Microservices Architecture for Internet of Things using Apache Spark, Apache Hive and Apache Hadoop.

Big Data Analytics Platform With Apache Spark and Apache Flink

Big Data Analytics Platform With Apache Spark and Apache Flink

Don Big Data Analytics Solutions enables enterprises to Host On-Premises/Public Self Service Presto/Hive Cluster and can enable queries direct on S3/HDFS/GlusterFS. Big Data Analytics Solution build Analytics Cloud with Machine learning Capabilities and Graph Database Processing with Apache Spark and Apache Flink.

Big Data Warehousing and Data Lake Solutions

Big Data Warehousing and Data Lake Solutions

We provide Big Data Warehousing and Enterprise Data Lake solutions for Batch and Real Time Data. Enterprises can Build, Deploy Data lake on On-Premises, Hybrid Cloud, Apache Mesos, Amazon RedShift, Google BigQuery and Public Cloud. Don Data Warehousing and Data Lake Solution enables the Monitoring as well as Visibility of the Data Flow.

Enterprise Analytics Solutions and Services

AWS Cloud Solutions

AWS analytics services provide streaming data using Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon Redshift

AWS Analytics
Services
Google Cloud Solutions

Google Cloud enables streaming analytics solutions using Cloud Pub/ Sub, Google CloudFlow, Apache Beam, Cloud Bigtable.

Google Stream
Services
Microsoft Azure Solutions

Azure Analysis Services with Event Hubs, Azure Databricks, Data Factory, Azure Databricks, Data Lake Analytics and SQL Warehouse.

Azure Analytics
Services
Container Solutions - DevOps & Kubernetes

Deploy Analytics Infrastructure Stack using Open Source Tools using Apache Nifi, Apache Spark, Apache HAWQ, Apache Drill, Apache Kylin and Phoenix.

Open Source
Analytics

Use Cases for Stream and Real-Time Data Analytics

Technology Solutions, Customer Insights and Journey for Data Migration to Data Driven enterprise for IoT Analytics Solutions, Stream Processing, and Real-Time Analytics.

Real-Time Data Analytics Migration & Optimization

Let's Discuss about your New or Existing Enterprise application for Building Data Analytics Platform for Real-time Reporting and Visualization. Our Competency Team also help you for Optimization and Migration of the Solution to any Cloud.

What are you doing?

Talk to Experts for Assessment on DevOps Intelligence, Big Data Engineering and Decision Science

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Transforming to a Data-Driven Enterprise

Get in Touch with us for Artificial Intelligence Platform and Enterprise Analytics Solution

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AI & Deep Learning
Consulting Services

  • Business Case Ideas
  • Data Veracity Assessment
  • Experience Design
  • Roadmap and Value Mapping
  • Technology Identification
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