Data Architect

data architect is a practitioner of data architecture, a data management discipline concerned with designing, creating, deploying, and managing an organization’s data architecture.Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way

Data architects create blueprints for data management systems. After assessing a company’s potential data sources (internal and external), architects design a plan to integrate, centralize, protect and maintain them. This allows employees to access critical information in the right place, at the right time.Data architects conceptualize and visualize data frameworks. Data architects guide the Data Science teams.

The data architect and the data engineer may acquire the same or very similar expertise in Database Architecture over time, but they use this knowledge differently. While data architects provide knowledge and guidance in handling disparate data sources from varied databases, the data engineers take the architect’s vision to build and maintain the Data Architecture for the enterprise data professionals.

http://www.ntduniya.com/

A data architect may be required to:

 

  1. Collaborate with IT teams and management to devise a data strategy that addresses industry requirements
  2. Build an inventory of data needed to implement the architecture
  3. Research new opportunities for data acquisition
  4. Identify and evaluate current data management technologies
  5. Create a fluid, end-to-end vision for how data will flow through an organization
  6. Develop data models for database structures
  7. Design, document, construct and deploy database architectures and applications (e.g. large relational databases)
  8. Integrate technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.)
  9. Implement measures to ensure data accuracy and accessibility
  10. Constantly monitor, refine and report on the performance of data management systems
  11. Meld new systems with existing warehouse structures
  12. Produce and enforce database development standards
  13. Maintain a corporate repository of all data architecture artifacts and procedures

Technical Skills for Data Architects

  1. Application server software (e.g. Oracle)
  2. Database management system software (e.g. Microsoft SQL Server)
  3. User interface and query software (e.g. IBM DB2)
  4. Enterprise application integration software (e.g. XML)
  5. Development environment software
  6. Backup/archival software
  7. Agile methodologies and ERP implementation
  8. Predictive modeling, NLP and text analysis
  9. Data modeling tools (e.g. ERWin, Enterprise Architect and Visio)
  10. Data mining
  11. UML
  12. ETL tools
  13. Python, C/C++ Java, Perl
  14. UNIX, Linux, Solaris and MS-Windows
  15. Hadoop and NoSQL databases
  16. Machine learning
  17. Data visualization


Download PDF

http://www.ntduniya.com/

You may also Subscribe for more update


Subscribe