Data Engineering Best Practices
portes grátis
Data Engineering Best Practices
Architect robust and cost-effective data solutions in the cloud era
Larochelle, David; Schiller, Richard J.
Packt Publishing Limited
10/2024
550
Mole
9781803244983
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Overview of the Business Problem Statement
A Data Engineer's Journey - Background Challenges
A Data Engineer's Journey - IT's Vision and Mission
Architecture Principles
Architecture Framework - Conceptual Architecture Best Practices
Architecture Framework - Logical Architecture Best Practices
Architecture Framework - Physical Architecture Best Practices
Software Engineering Best Practice Considerations
Key Considerations for Agile SDLC Best Practices
Key Considerations for Quality Testing Best Practices
Key Considerations for IT Operational Service Best Practices
Key Considerations for Data Service Best Practices
Key Considerations for Management Best Practices
Key Considerations for Data Delivery Best Practices
Other Considerations - Measures, Calculations, Restatements, and Data Science Best Practices
Machine Learning Pipeline Best Practices and Processes
Takeaway Summary - Putting It All Together
Appendix and Use Cases
Overview of the Business Problem Statement
A Data Engineer's Journey - Background Challenges
A Data Engineer's Journey - IT's Vision and Mission
Architecture Principles
Architecture Framework - Conceptual Architecture Best Practices
Architecture Framework - Logical Architecture Best Practices
Architecture Framework - Physical Architecture Best Practices
Software Engineering Best Practice Considerations
Key Considerations for Agile SDLC Best Practices
Key Considerations for Quality Testing Best Practices
Key Considerations for IT Operational Service Best Practices
Key Considerations for Data Service Best Practices
Key Considerations for Management Best Practices
Key Considerations for Data Delivery Best Practices
Other Considerations - Measures, Calculations, Restatements, and Data Science Best Practices
Machine Learning Pipeline Best Practices and Processes
Takeaway Summary - Putting It All Together
Appendix and Use Cases
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Overview of the Business Problem Statement
A Data Engineer's Journey - Background Challenges
A Data Engineer's Journey - IT's Vision and Mission
Architecture Principles
Architecture Framework - Conceptual Architecture Best Practices
Architecture Framework - Logical Architecture Best Practices
Architecture Framework - Physical Architecture Best Practices
Software Engineering Best Practice Considerations
Key Considerations for Agile SDLC Best Practices
Key Considerations for Quality Testing Best Practices
Key Considerations for IT Operational Service Best Practices
Key Considerations for Data Service Best Practices
Key Considerations for Management Best Practices
Key Considerations for Data Delivery Best Practices
Other Considerations - Measures, Calculations, Restatements, and Data Science Best Practices
Machine Learning Pipeline Best Practices and Processes
Takeaway Summary - Putting It All Together
Appendix and Use Cases
Overview of the Business Problem Statement
A Data Engineer's Journey - Background Challenges
A Data Engineer's Journey - IT's Vision and Mission
Architecture Principles
Architecture Framework - Conceptual Architecture Best Practices
Architecture Framework - Logical Architecture Best Practices
Architecture Framework - Physical Architecture Best Practices
Software Engineering Best Practice Considerations
Key Considerations for Agile SDLC Best Practices
Key Considerations for Quality Testing Best Practices
Key Considerations for IT Operational Service Best Practices
Key Considerations for Data Service Best Practices
Key Considerations for Management Best Practices
Key Considerations for Data Delivery Best Practices
Other Considerations - Measures, Calculations, Restatements, and Data Science Best Practices
Machine Learning Pipeline Best Practices and Processes
Takeaway Summary - Putting It All Together
Appendix and Use Cases
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
