Enterprise Information Management Platforms
Manage, Transform, govern, control, improve and exploit data for beneficial business outcome.
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XenonStack Recommends
Go beyond traditional Business Intelligence by gaining real-time insights
Building an effective information management transformation strategy that reduces modern architecture's complexity, leverages modernization best practices, and automates operations.
Accelerate Cloud Adoption
Adopt Modern Cloud Solutions to Migrate and map enterprise data across public, private, and hybrid cloud environments.
Data First Strategy
Data governance, visualization, and hierarchy management give teams the agility to adapt to change faster.
Digital Transformation
Advance toward the digital transformation of the data and applications landscape with automated workflows for extraction and reconciliation.
Understand Enterprise Information System better with Data Modeling
Modeling makes it easier for Data stewards to understand relationships in information to increase consistency and application performance and promote the development of coordinated teams.
EDM offerings for agile and efficient workplace
Master data management (MDM)
MDM solutions are driven around reducing redundant, inconsistent data and providing a unified view of insights and information.
Data Management Strategy
AI-driven automated discovery, classification, and metadata management solutions for businesses.
Real-Time Ingestion and Processing has driven capabilities to reduce downtime and latency, and gain visibility into the infrastructure health.
Create governance and security models for stewards to build a single source of truth to keep the organization agile.
Empowering AI and Intelligence-driven businesses. End-to-End BI Implementation and Consulting Solutions to facilitate data-driven decision-making.
Google Cloud's Database Solution
Deliver the best experience to customers with Reliable, global scale, and open standards GCP solutions.
AWS Analytics Services
Reinvent business with data from its movement, storage, creation of modern architecture, analytics, log and streaming analytics, BI, and ML; AWS offers all services.
Azure End-to-End EDM Services
Manage Data Assets with Business Glossary, Dictionary, Data modeling, and discovery, Source connectivity, and more with Azure.
Rapid access to High-Quality and Business-ready Pipelines and Insights
Data Fabric solutions empower enterprises with end-to-end lifecycle management
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Understanding Real Time Streaming Tools and Technologies
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Why Modern Enterprise Data Strategy?
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Implementing DataOps Architecture in AWS, Azure, and GCP
Adapt and respond to change faster and effectively by managing enterprise data
XenonStack provides assessments, strategy and implementation for effective and flexible Enterprise Data Management .
Enterprise Technology
Banking and Finance Sector
Healthcare
Education
Transportation
Retail
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Key Enablers
Enablers for Accelerating Digital Transformation
Big Data Engineering
Enterprise AI
Data Science
DevOps
Data Visualization
Serverless
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Overcome the challenges posed by complex mass-scale enterprise IT
Overcome the challenges posed by complex mass-scale enterprise IT
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Leveraging DevOps Principles for Better Analytics
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Streaming analytics
Data Catalog
Data Lineage
Data Denormalization
Streaming analytics
Streaming analytics is continuously processing and analyzing data records rather than in batches. Streaming analytics is helpful for data sources that send data in small sizes in a steady flow as the data is generated.
Data Catalog
Data Catalog provides a single self-service environment to the users, helping them find, understand, and trust the data source.
Data lineage is the process of understanding, documenting, and visualizing the data from its origin to its consumption.
Data Denormalization
Denormalization is a technique in which we add the duplicate data to one or more table. With the help of this, we can avoid costly joins in a relational database.
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