Enterprise Data Platform Modernization

Modernize Your Enterprise Data Platform and Unleash Its Full Potential

Your enterprise data platform (EDP) is the foundation of your digital transformation journey. But if it is outdated, siloed, or complex, it is likely holding you back.

Our data platform modernization service can help you overcome these challenges and unlock the full potential of your EDP. We work with you to:

  • Assess your current EDP landscape and identify areas for improvement.
  • Develop a customized modernization plan that meets your specific needs and budget.
  • Migrate your data to a modern, well architected private or public cloud-based platform.
  • Implement industy leading practices for data governance, data quality, and data management.
  • Train your team on how to use the new platform and get the most out of your data.

As a result, you'll have a modern, agile data platform that can support your evolving business needs and deliver the insights you need to make better decisions faster.

Benefits of Modernizing Your Data Platform

  • Improved performance and scalability: Handle more data and traffic, so you can keep up and scale with the demands of your business.
  • Reduced costs: A cloud-based EDP can help you save money on hardware, software, and maintenance costs.
  • Increased agility: Easier to add new data sources, applications, and users, so you can respond to change quickly.
  • Improved data quality and governance: Provides the tools and features you need to ensure that your data is accurate, complete, and secure.
  • Enhanced data accessibility and insights: Democratize access to data and insights with easier access to data and analytics, so you can get the insights you need to make better and faster decisions.
  • Serve as the Foundation for Artificial Intelligence Capabilities: Build, experiment and deploy AI at scale within your enterprise with predictive models, hyper-personalized experiences and stay a step beyond your competitors.
  • Contact us today to learn more about how our data platform modernization service can help you unleash the full potential of your enterprise data assets.

Enterprise Data Platform (EDP) Reference Architecture

EDP reference architectures are typically designed to be modular and scalable, so that organizations can leverage the components and features that meet their specific needs. They are also designed to be cloud-agnostic, so that organizations can deploy their EDP on the cloud platform of their choice. Kloud9 partners with all the major cloud providers. The overall architecture is based on specific tools and processes for data security, governance and monitoring.

This architecture shows that the data analytics layer is built based onthe data processing and storage layers, and the data ingestion layer is at the beginning allowing data to flow seamlessly from ingestion to processing to storage and finally to analytics and data science.

  • Data ingestion: This layer is responsible for collecting and bringing data into the platform from a variety of sources, such as on-premises databases, cloud applications, and sensors.
  • Raw Data Store: This layer is responsible for storing and managing the data in a way that is accessible, efficient, and scalable.
  • Data Enrichment: This layer is responsible for cleaning, transforming, and loading the data into various formats and destinations, such as data warehouses, data lakes, and machine learning models.
  • Enterprise Data Store Layer: This layer is responsible for establishing and enforcing policies and procedures for managing data throughout its lifecycle, including data security, privacy, and compliance.
  • Data Analytics and Visualization: This layer provides the tools and capabilities for users to develop machine learning models, analyze and visualize data to gain insights and make informed decisions.

Organizations can use this reference architecture as a starting point to design and build their own enterprise data platform. They can add or remove components and features as needed to meet their specific requirements.

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