The CSUB Burger's Order Processing System context diagram shows the system as the order processing system with external entities of the kitchen, restaurant, and customer. The key processes are customer order, receipt, food order, and management report. Arrows show data flows between the external entities and processes.
Data warehousing testing strategies cognosSandeep Mehta
The document describes a testing methodology for a data warehouse project. It will involve three phases: unit testing of ETL processes and validating data matches between source systems and the data warehouse; a conference room pilot where users can validate reports and test performance; and system integration testing where users test analytical reporting tools to answer business questions across multiple data sources.
This document provides an overview of key concepts in data warehousing including:
- The differences between OLTP and OLAP systems and how they are used
- Common data warehouse schemas like star schemas and snowflake schemas
- The use of facts, dimensions, and granularity to structure and analyze data
- Best practices for data normalization, aggregation, and querying large datasets
The CSUB Burger's Order Processing System context diagram shows the system as the order processing system with external entities of the kitchen, restaurant, and customer. The key processes are customer order, receipt, food order, and management report. Arrows show data flows between the external entities and processes.
Data warehousing testing strategies cognosSandeep Mehta
The document describes a testing methodology for a data warehouse project. It will involve three phases: unit testing of ETL processes and validating data matches between source systems and the data warehouse; a conference room pilot where users can validate reports and test performance; and system integration testing where users test analytical reporting tools to answer business questions across multiple data sources.
This document provides an overview of key concepts in data warehousing including:
- The differences between OLTP and OLAP systems and how they are used
- Common data warehouse schemas like star schemas and snowflake schemas
- The use of facts, dimensions, and granularity to structure and analyze data
- Best practices for data normalization, aggregation, and querying large datasets
طرق الاختراق وآليته واهم هجمات الاختراق الدوليه وامثله على الجيوش الالكترونيه لكل بلد و كذلك معلومات عن مركز أمن المعلومات و ايضا أهم الشهادات لامن المعلومات
#4 in my series, Design of Digital Machines
Describes what an interaction model is, how it breaks down into workflows, visualization standards, and interaction modeling challenges.
This document defines a data warehouse as a collection of corporate information derived from operational systems and external sources to support business decisions rather than operations. It discusses the purpose of data warehousing to realize the value of data and make better decisions. Key components like staging areas, data marts, and operational data stores are described. The document also outlines evolution of data warehouse architectures and best practices for implementation.
The document provides an overview of databases and database management systems. It defines what a database is and provides examples. It discusses the objectives and purpose of databases, including controlling redundancy, ease of use, data independence, accuracy, recovery from failure, privacy and security. Key terms related to database design and structure are explained, such as tables, rows, indexes, primary keys and foreign keys. The document also covers data definition language, data manipulation language, SQL, users and types of databases. Factors to consider when selecting a database management system are outlined.
The document discusses data warehousing, including its history, types, security, applications, components, architecture, benefits and problems. A data warehouse is defined as a subject-oriented, integrated, time-variant collection of data to support management decision making. In the 1990s, organizations needed timely data but traditional systems were too slow. Data warehouses now provide competitive advantages through improved decision making and productivity. They integrate data from multiple sources to support applications like customer analysis, stock control and fraud detection.
This presenation explains basics of ETL (Extract-Transform-Load) concept in relation to such data solutions as data warehousing, data migration, or data integration. CloverETL is presented closely as an example of enterprise ETL tool. It also covers typical phases of data integration projects.
Data warehousing and business intelligence project reportsonalighai
Developed Data warehouse project with a structured, semi-structured and unstructured sources of data
and generated Business Intelligence reports. Topic for the project was Tobacco products consumption in
America. Studied on which products are more famous among people across and also got to know that
middle school students are the soft targets for the tobacco companies as maximum people start taking
tobacco products at this age.
Tools used: SSMS, SSIS, SSAS, SSRS, R-Studio, Power BI, Excel
The document discusses various techniques for functional testing, including boundary value testing, equivalence class testing, decision table-based testing, and robustness testing. It provides details on decision tables, including their structure, usage, examples, and methodology for development. Decision tables present conditions and corresponding actions in a matrix format and can be used to both specify complex program logic and generate test cases.
User interface design involves selection controls like radio buttons and checkboxes that allow users to control options and settings. There are four main categories of user interface elements: input controls, navigation components, informational components, and containers. A hardware platform is a standardized set of compatible hardware that software can run on, with each platform having its own machine language. The Hardware Platform Interface specification defines an API for managing computer systems by accessing sensors, configuring hardware, and more. Wireframing involves creating skeletal visual guides of websites using only gray tones and without images to represent the basic structural framework and page layout.
ETL Testing Interview Questions and AnswersH2Kinfosys
This document discusses interview questions related to ETL testing for business intelligence projects. It begins with questions about challenges in BI testing, what BI and data warehousing are, and key concepts like the data flow in a data warehouse. It then provides examples of different types of testing done on a data warehouse, including attribute checks, duplicate checks, original key checks, and reconciliation checks using sample SQL queries. Finally, it discusses tools that a QA team may use for ETL testing.
Ethics, Security and Privacy Management of Hospital Data Part 2 (January 24, ...Nawanan Theera-Ampornpunt
Presented at the Hospital IT Quality Development to level 4, 5, 6 Workshop, Thai Medical Informatics Association, Bangkok, Thailand on January 24, 2020
طرق الاختراق وآليته واهم هجمات الاختراق الدوليه وامثله على الجيوش الالكترونيه لكل بلد و كذلك معلومات عن مركز أمن المعلومات و ايضا أهم الشهادات لامن المعلومات
#4 in my series, Design of Digital Machines
Describes what an interaction model is, how it breaks down into workflows, visualization standards, and interaction modeling challenges.
This document defines a data warehouse as a collection of corporate information derived from operational systems and external sources to support business decisions rather than operations. It discusses the purpose of data warehousing to realize the value of data and make better decisions. Key components like staging areas, data marts, and operational data stores are described. The document also outlines evolution of data warehouse architectures and best practices for implementation.
The document provides an overview of databases and database management systems. It defines what a database is and provides examples. It discusses the objectives and purpose of databases, including controlling redundancy, ease of use, data independence, accuracy, recovery from failure, privacy and security. Key terms related to database design and structure are explained, such as tables, rows, indexes, primary keys and foreign keys. The document also covers data definition language, data manipulation language, SQL, users and types of databases. Factors to consider when selecting a database management system are outlined.
The document discusses data warehousing, including its history, types, security, applications, components, architecture, benefits and problems. A data warehouse is defined as a subject-oriented, integrated, time-variant collection of data to support management decision making. In the 1990s, organizations needed timely data but traditional systems were too slow. Data warehouses now provide competitive advantages through improved decision making and productivity. They integrate data from multiple sources to support applications like customer analysis, stock control and fraud detection.
This presenation explains basics of ETL (Extract-Transform-Load) concept in relation to such data solutions as data warehousing, data migration, or data integration. CloverETL is presented closely as an example of enterprise ETL tool. It also covers typical phases of data integration projects.
Data warehousing and business intelligence project reportsonalighai
Developed Data warehouse project with a structured, semi-structured and unstructured sources of data
and generated Business Intelligence reports. Topic for the project was Tobacco products consumption in
America. Studied on which products are more famous among people across and also got to know that
middle school students are the soft targets for the tobacco companies as maximum people start taking
tobacco products at this age.
Tools used: SSMS, SSIS, SSAS, SSRS, R-Studio, Power BI, Excel
The document discusses various techniques for functional testing, including boundary value testing, equivalence class testing, decision table-based testing, and robustness testing. It provides details on decision tables, including their structure, usage, examples, and methodology for development. Decision tables present conditions and corresponding actions in a matrix format and can be used to both specify complex program logic and generate test cases.
User interface design involves selection controls like radio buttons and checkboxes that allow users to control options and settings. There are four main categories of user interface elements: input controls, navigation components, informational components, and containers. A hardware platform is a standardized set of compatible hardware that software can run on, with each platform having its own machine language. The Hardware Platform Interface specification defines an API for managing computer systems by accessing sensors, configuring hardware, and more. Wireframing involves creating skeletal visual guides of websites using only gray tones and without images to represent the basic structural framework and page layout.
ETL Testing Interview Questions and AnswersH2Kinfosys
This document discusses interview questions related to ETL testing for business intelligence projects. It begins with questions about challenges in BI testing, what BI and data warehousing are, and key concepts like the data flow in a data warehouse. It then provides examples of different types of testing done on a data warehouse, including attribute checks, duplicate checks, original key checks, and reconciliation checks using sample SQL queries. Finally, it discusses tools that a QA team may use for ETL testing.
Ethics, Security and Privacy Management of Hospital Data Part 2 (January 24, ...Nawanan Theera-Ampornpunt
Presented at the Hospital IT Quality Development to level 4, 5, 6 Workshop, Thai Medical Informatics Association, Bangkok, Thailand on January 24, 2020
Presented at the Nursing Informatics Course for Year 2 Nursing Students, Ramathibodi Nursing School, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand on June 26, 2018
This document discusses cloud computing, including its characteristics, service models, types, and providers. It covers technology trends in Thailand's ICT market and outlines cloud computing as infrastructure as a service, platform as a service, and software as a service. The document also presents case studies on NeBuLa@KU, GreenDatacenter, and testing cloud computing services in Thailand.