Ensure that all relevant project teams follow a common set of data principles and patterns, utilize a standard set of technology frameworks, and apply data architecture best practices that help increase quality and agility.
More Uses of the Information Life Cycle Management Toolkit:
- Evaluate: product owners, engineers, architects, etc.
- Perform geospatial data processing/ETL and publishing.
- Lead: implement data security, access, distribution, and retention.
- Enable/integrate monitoring, auditing, and alert systems for databases with existing monitoring infrastructure.
- Ensure you create; lead the data design of solutions for large projects and programs; through expert knowledge, translating high level business requirements into data models and appropriate Metadata, test data, and data standards.
- Be accountable for outstanding communication, project and priority management, and collaboration skills.
- Devise: review operational requirements with project teams, management and client services groups for deployment and ongoing support.
- Install and maintain database for multi tier architecture.
- Determine overall data modeling standards, guidelines, best practices and approved modeling techniques.
- Ensure you standardize; lead the data design of solutions for large projects and programs, through expert knowledge, translating high level business requirements into data models and appropriate Metadata, test data, and data standards.
- Be certain that your enterprise deploys and provides ongoing support of cloud storage and back up.
- Provide thought leadership across the data community to ensure solutions are built in alignment with platform principles, design patterns, and standards.
- Ensure all relevant project teams follow a common set of data principles and patterns, utilize a standard set of technology frameworks, and apply data architecture best practices that helps increase quality and agility.
- Ensure you reconcile; lead and drive the design of conceptual, logical, and physical data models to support transactional and analytical systems.
- Interpret and classify data types to retention policies.
- Ensure you research; enhanced analytical and problem solving skills.
- Attract, recruit, and retain capable individuals to build high performance teams of data architects; establish mission and purpose for individuals and teams.
- Confirm your enterprise develops, implements, and oversees policies and procedures to ensure consistent cloud environment provisioning, uptime, regulatory compliance and data protection.
- Oversee: design and implementation of backup and recovery, high availability, and disaster recovery strategies.
- Orchestrate: for each archived application.
- Drive the design of conceptual, logical, and physical data models to support transactional and analytical systems.
- Troubleshoot versioning, multi user editing, and distributed data workflows.
- Make sure that your strategy provides leadership for the development of operational and strategic direction for the implementation and maintenance processes for cloud solutions.
- Develop data architectures that are inherently secure, robust, resilient, scalable, and enable API centric and microservices ecosystem.
- Have good knowledge in various functionalities of Information Life Cycle Management and Data Archive Architecture concepts.