Architectural Strategy
For organizations collecting large volumes of structured, unstructured or semi-structured data, a modern Hadoop architecture may provide a more cost effective, higher performing option than the traditional RDBMS environment.
NodeLogix offers fully customizable, end-to-end solutions for big data analytics using open source Hadoop and NoSQL tools and technologies
What’s Your Hadoop Architecture?
NodeLogix offers professional services from our Big Data Center of Excellence to guide you from use case discovery to production implementation. Our development teams can support you through the entire project lifecycle and provide sustainability services to help you achieve your long term BI and analytics goals.
Design specifications for use cases
Architecture implementation
Schema design based on customer specifications
Data integration from data sources
Coding and scripting
BI and big data analytics development
Modeling, querying and reporting
Accelerate your big data projects – take advantage of our proven track record for meeting business objectives with on-time and on-budget success.
Contact NodeLogix to discuss your big data project requirements.
This strategy will explore the following:
- Logical data structures
- Feasibility
- Completeness
- Documentation
- Their fit to business requirements
Architecture strategy includes analyzing data sourcing and transformation, applying the methods and assumptions, and validating the mappings to business requirements. Being a part of the information architecture, the team examines the completeness of the metadata being tracked, the user metadata requirements, and the approaches to the management of the metadata.
