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DataOps Solutions for Enterprise Data Management and Integration

Data Integration Management and Development Solutions.


DataOps Platform and Solutions

XenonStack provides DataOps Platform Solutions for data operations and agile development for data analytics to enable effective enterprise data management and Governance.

Data Platform Architecture and Principles provides sandbox management and orchestration layer for data engineering, data science, BI, data visualization, and governance.

DataOps Framework integrates the different teams centralized production teams, centralized data engineering, analytics, Data Science, Data Catalog, Data Discovery, Data Governance and Self Service Intelligence and reporting Teams to bring innovation and experimentation for new Product and services discovery.

  • Automated Data Curation services
  • Catalogue your data assets
  • Automated open metadata management
  • Automated core governance
  • Master data management services
  • Hybrid cloud data integration,
  • Self-service BI capabilities
  • Data Quality and Lineage
  • Streamlining Data Integration
  • Enterprise-grade Reliability
  • Distributed Architectures and Multi-tenancy
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DataOps Solutions for Management and Governance

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Improved Data Security

XenonStack offers solutions for enabling Big Data Compliance, Analytics Security, Hadoop Security, and Data Security Governance

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Streamlining Data Integration

Solutions for Operationalizing and Simplifying Real-Time Data Integration.

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Enterprise-Grade Data Management

Enterprise Integrated data solutions for Master Data Management, Data Governance, and Data Security.

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Intelligent DataOps platform

Building Intelligent DataOps Platform for enabling effective Data Integration and Data Drift Management.

Why is Big Data so important for enterprises?

Enterprise DataOps Platform for Modern Data Integration

How to Reduce Data Friction?

What are the Challenges in Securing Big Data?

How to Enable Big Data Applications on Kubernetes?

Key Capabilities of Modern Enterprise Data Strategy

Best Practices for Implementation of Testing in Big Data

How Enterprises can Adopt DataOps Principles?

Develop and Deploy Data Analytics Pipelines

Building Analytics Stack On Amazon Web Services, Microsoft Azure and Google Cloud Platform.

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AWS Big Data Analytics

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

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Google Cloud for Big Data

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

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Azure Data Lake Solutions

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

Role of DataOps in Building a Data-Driven Organization

Explore how DataOps combines Agile Development, DevOps and Statistical Processes and applies them to Data Analytics.

How DataOps Works