fahriefeyaniklar.blog

      Hello! I spent 4 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the data software engineering processes. Why testing? Unit and integration tests, E2E tests, Q1, Q2, Q3, Q4 tests, Test-Driven Development (TDD), Acceptance-Test-Driven Development (ATDD), Behavior-Driven Development (BDD), Testing Machine Learning Training Processes, Machine Learning Model Monitoring, Performance Monitoring, Continuous Integration, Continuous Delivery, Continuous Testing, Continuous Training, Programming Paradigms, Imperative versus Declarative, Procedural Programming, Object-Oriented Programming, Functional Programming, Aspect-Oriented Programming, Rule-Based Programming, Symbolic Programming, Event-Driven Programming, Domain-Driven Design, Data-Oriented Design, Data-Driven Design, Programming Styles, Extreme Programming, Pair Programming, Mob Programming. Thanks for reading...

      Hello! I spent 6 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the data software engineering processes. Requirement engineering terminology, Requirement engineering classes, Requirement engineering processes, Stakeholders in  requirement engineering, Software Requirement Document (SRD), Software Development Life Cycle (SDLC), Waterfall model, V-Shaped model, Iterative model, Rational Unified Process (RUP), Rational Unified Process (RUP) dimensions, UML Diagrams, Agile project management, Sprints, Agile values, Agile workflow, Kanban board and features, Scrum project management method, Scrum with agile, Traditional project management vs agile project management. Thanks for reading!

     Hello! I spent 4 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the structure of a thesis and a research paper and what is the data vault modeling technique. Literature review, Research sources, Theoretical frameworks, Research paradigms, Research theories, Half-theories, Discussions and conclusion structure, Sources classification, Organization and presentation, Data vault modeling, Hub, Link, Sat, Practicing data vault modeling in SQL Thanks for reading!

    Hello! I spent 5 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the structure of a thesis and a research paper and how I can improve my writing on theses and research papers. Research problems, research questions, research hypotheses, and research objectives, Defining the  research problems, research questions, research hypotheses, and research objectives, Citations, citation methods, and citation tools, Features of citation types, Methodology and research methods, Features of research methods. Thanks for reading!

  Hello! I spent 8 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the detailed technical and practical information of Data Warehouses ETL process and components of the transformation process, Detailed technical background in Operational Data Store(ODS) and Metadata Metadata Architectures, Physical Storage Concepts (Relational Storage(ROLAP), Multidimensional Storage(MOLAP),Hybrid Storage(HOLAP)), OLAP Cubes, Historicization and Slowly Changing Dimension(SCD) types, Model Basis Analysis Systems Concept-oriented Systems Knowledge Management Content Management Systems(CMS) and Document Managemend Systems(DMS ), Distribution of Knowledge Access to Information(Portal and Portlet) Thanks for reading!

  Hello! I spent 6 hours studying in the library today and learned a lot. I'll write down what I learned as a way to review and practice. Summary of Knowledge I've learned about the development of business intelligence, Management Information Systems(MIS)  Decision Support System(DSS) Executive Information System(EIS)  Data Warehouses (DWH) Business Intelligence(BI)  I've learned data provisioning,  OLTP and OLAP Characteristic features of operational and dispositive data Datawarehouse concept BI components Architecture variants of DWHs Thanks for reading!