Data Warehouse PDF

Data Warehouse Data Warehouse A Data Warehouse (DW) is a central repository of integrated data from multiple sources. It is used to store historical data, allowing businesses to perform analysis, reporting, and data mining to make strategic decisions. Key Characteristics Subject-Oriented...

Data Warehouse Data Warehouse A Data Warehouse (DW) is a central repository of integrated data from multiple sources. It is used to store historical data, allowing businesses to perform analysis, reporting, and data mining to make strategic decisions. Key Characteristics Subject-Oriented Integrated Organized around key Combines data from subjects such as sales, different sources into a customers, or consistent format. inventory. Non-Volatile Time-Variant Once entered, data is Stores historical data not updated or deleted, that can be analyzed making it stable for over time. analysis. Importanc FACILITATES DATA ANALYSIS AND DECISION- SUPPORTS BUSINESS INTELLIGENCE (BI) AND e of Data MAKING. REPORTING. Warehous e HELPS WITH TREND ANALYSIS, FORECASTING, AND PERFORMANCE METRICS.  Data Staging - Source - Data Data Where raw data is coming from cleaned and various systems transformed before (CRM, ERP, flat files, entering the external sources). Key warehouse. Componen Data Storage - The warehouse where Metadata - Information about the data that helps ts of Data processed data is stored in a users understand its source, meaning, Warehous structured manner. and structure. e Data Marts - Smaller, more OLAP Tools - Allow specific sections of users to interact the warehouse with and analyze focusing on data for reporting particular business purposes. areas.  Data Source Layer Data Warehous ETL Process e (Extract, Architectu Transform, Load) re Presentation Layer  The way to answer is to not speak. If the answer is A, you will stand up. Assessme If the answer is B, you will remain seated. nt If the answer is C, you will raise Instruction your right hand. s If the answer is D, you will raise your left hand. What is the role of metadata in a data warehouse? A B C D Store raw Provide a Describe the Process and data for backup of the source, transform analysis data structure, and data warehouse meaning of data What is the role of metadata in a data warehouse? C Describe the source, structure, and meaning of data What is the primary purpose of a data warehouse? A B C D Store daily Provide a Manage real- Replace transactional central time online operational data repository for transactions databases integrated data analysis What is the primary purpose of a data warehouse? B Provide a central repository for integrated data analysis How is a data warehouse different from a regular database? A B C D It stores It processes It deletes It stores historical real-time data unstructure data and is transactions frequently d data used for to save analytics space How is a data warehouse different from a regular database? A It stores historical data and is used for analytics What is a key characteristic of a data warehouse? A B C D Time- Volatile and Limited to Non- variant and real-time current integrated non-volatile operational and data unstructure d What is a key characteristic of a data warehouse? A Time-variant and non-volatile In the context of data warehousing, what is a data mart? A B C D A smaller, A real-time A tool used A temporary more transactional for data storage area focused system extraction for raw data subset of a data warehouse In the context of data warehousing, what is a data mart? A A smaller, more focused subset of a data warehouse In the ETL process, what is the primary purpose of the "Load" phase? A B C D Clean the Move data Transform Generate data before from data into a reports for analysis external consistent business sources to format users the warehouse In the context of data warehousing, what is a data mart? B Move data from external sources to the warehouse  Data warehousing is crucial for organizations seeking to leverage data for strategic decision-making. By Conclusio implementing a well-structured n data warehouse, businesses can gain valuable insights, improve efficiency, and enhance customer experiences across various industries.