... supports data- driven analysis Data mining has traditionally operated only on raw data in the datawarehouse database or, more commonly, text files of data extracted from the datawarehouse database ... a datawarehouse differs from that of an OLTP, the design characteristics of a relational database that supports a datawarehouse differ from the design characteristics of an OLTP database Data ... interactions with the datawarehouseDataWarehouse Architecture Goals A datawarehouse exists to serve its users—analysts and decision makers A datawarehouse must be designed to satisfy the...
... What Is a Data Warehouse? Role and Purpose of the DataWarehouse The Corporate Information Factory Operational Systems Data Acquisition DataWarehouse Operational Data Store Data Delivery Data Marts ... data ■ ■ Data delivery is the process that moves data from the datawarehouse into data and oper marts Like the data acquisition layer, it manipulates the data as it moves it In the case of data ... the datawarehouse but is dramatically different in other aspects: ■ ■ It is subject oriented like a datawarehouse ■ ■ Its data is fully integrated like a datawarehouse Building the Data Warehouse, ...
... apply the business data model include operational systems, data warehouse, and data mart databases, and the model provides the meta data (or information about the data) for these databases to help ... area(s) needed for your datawarehouse for the business data model You will continue to fill out the business and datawarehousedata models as new areas are needed in the datawarehouse but should ... technology How you deliver the data from the datawarehouse into the various data marts will have an impact on the design of the database Considerations include whether the data is delivered via a portal...
... Temporary Table (Data to be loaded into the DW) Load data into datawarehouse Figure 4.5 Archiving questionable dataDATAWAREHOUSEDataWarehouse Archive Data Cleansing, Selection, Change Data Capture ... business data model include application systems, the data warehouse, and data mart databases In addition, the model provides the meta data (or information about the data) for these databases ... adjusted to meet the datawarehouse needs The business scenario used to develop the datawarehousedata model is the Zenith Automobile Company that we introduced See Building the Data Warehouse, 2nd...
... the datawarehouse facilitates delivery of data to the marts Each mart needing the data can merely copy the conformed dimension table from the datawarehouse The merged entity within the datawarehouse ... of the datawarehouse and the data marts Data acquisition performance The level of granularity may (or may not) significantly impact the data acquisition performance Even if the datawarehouse ... to store historical data from disparate systems, the datawarehousedata model needs to consider the definitions in the source systems, and we will address the datawarehousedesign implications...
... application to create and maintain the data separate from the data warehouse, then to treat this data as any other data source being collected into the datawarehouse This is more effort than creating ... situations where the datawarehouse is asked to support data that is not available anywhere else It is important to understand that sometimes a datawarehouse effort goes beyond data collection and ... concepts for the datawarehouse provides the designer with significant flexibility Properly structured, we preserve the primary mission of the warehouse as a focal point for collecting data and for...
... Business Use of the DataWarehouse The anticipated business use of the datawarehouse is a major driver of its design In Chapter 4, we described the first four steps of the datawarehouse system ... the ways that transactional data is received into the datawarehouse from external applications How the data is presented to the datawarehouse has an impact on how the data is processed to achieve ... the quantity of data is high and its potential use is low Business Rules Concerning Changes The business rules concerning changes affect the datawarehousedesign The eighth datawarehouse modeling...
... that prepares the data for the data warehouse, then load the data and deliver it simultaneously The other method is to load the datawarehouse and deliver the data using datawarehouse queries ... temptation and perform all data deliveries from the datawarehouse You should consider Modeling Transactions 283 Data Mart Transaction Data ETL Process DataWarehouseData Mart Data Mart Figure 8.13 ... Query performance is not a key issue for the datawarehouse The primary purpose of the datawarehouse is to retain data and deliver data to external DataWarehouse Optimization 295 systems While...
... aspect of the datawarehouse is data stewardship Specific personnel within the company should be designated as the stewards of specific data within the datawarehouse The stewards of the data would ... viable datawarehouse must evolve over time to meet constantly changing business needs This evolution requires changes to the datawarehousedata models, and one of the challenges facing the datawarehouse ... deliver data in the datawarehouse Because of the side effects of such changes, these techniques are best applied during initial database design Making such changes after the fact to an existing data...
... of the data in the chosen mart for what data belongs in the datawarehousedata versus the data used in the data mart Your job is to separate the data into the data model for the datawarehouse ... API External Data Acquisition Getting Data In TrI Operational Data Store CIF Data Management DataWarehouseData Delivery Oper Mart OLAP Data Mart Data Mining Warehouse Exploration Warehouse DSI ... these.) The data acquisition programs are designed, coded, tested, and executed You then begin loading the datawarehouse Map the data mart data model to the data in the datawarehouse The data delivery...
... starschema-based data marts in a single database instance DataWarehouseData Model The datawarehousedata model is the “system” model for the datawarehouse that is created by transforming the business data ... converting one at a time, 374–377 data belonging in datawarehouse data, 378–379 data delivery processes, 26 database localization, 187 database structures, 18–19 data- mining warehouse, 18 date and number ... types, 35–45 data stewards, 82, 325, 348–349 data stewardship, 323–324, 346, 374 data subject, 31 data summaries and misleading results, 128 datawarehouse applications, 150 datawarehousedata model,...
... kho liệu Chương 2: Tổng quan DataWareHouse Nội dung chương trình bày tổng quan datawarehouse gồm: định nghĩa, đặc tính,mô hình, kiến trúc xu hướng tương lai datawarehouse Chương Tổng quan Microsoft ... CHƯƠNG TỔNG QUAN VỀ DATAWAREHOUSE Tóm lược nội dung: Nội dung chương trình bày tổng quan datawarehouse gồm: định nghĩa, đặc tính,mô hình, kiến trúc xu hướng tương lai datawarehouse 2.1 Định ... ĐẠI HỌC QUỐC GIA HÀ NỘI TRƯỜNG ĐẠI HỌC CÔNG NGHỆ Nguyễn Lương Thái Đức Áp dụng DataWarehouse phân tích thông tin dịch vụ giá trị gia tăng điện thoại KHOÁ LUẬN TỐT NGHIỆP ĐẠI HỌC...
... hàng DataWarehouse Tiền vay Phát hành séc Trái phiếu Hoạt động Thị trường Tiết kiệm Thẻ tín dụng Tích hợp Dữ liệu đưa vào theo cách thống Các HT điều hành Database A Mr J Smith DataWarehouse Database ... Smith DataWarehouse Database B Joe Smith Database C Smith, Joseph Mr J Smith Database D J Smith Database A bal-on-hand Database B balance Database C curr_bal Database D cash_avail balance Bt bin ... khai thác DataWarehouse 00:00 06:00 12:00 18:00 Các kiểu Nhà kho liệu Xí nghiệp (Data Warehouse) Phòng ban (Data Mart) Phân tích (OLAP) Kết xuất thông tin Kho liệu điều hành (ODS) Warehouse...
... liệu Dữ liệu Chính xác Chính xác thực tế thực tế Chất lượng Chất lượng Lịch sử Lịch sử DataWarehouseDataWarehouse Các thành phần công nghệ giải pháp Phần cứng phần mềm hệ thống Công nghệ ... Mở đầu Các khái niệm Các khía cạnh thiết kế triển khai Giải pháp Nhà kho liệu Oracle (Oracle Warehouse) Mức khái niệm logic Thông tin nhắc lại Nôi dung Các đòi hỏi thực tế liệu cho giải...
... Examine data needed Ascertain data availability Determine data frequency Decide the refresh cycle Types of WarehouseData Fact data - Measures Dimension data - Query drivers Summary data ... an enterprise-wide datawarehouse and localized data marts Recognize the difference between independent and dependent data marts Identify the data that is stored in a datawarehouse Explain the ... warehouse models Warehouse Architectures Enterprise-wide solution Data mart solution Combined solution Enterprise DataWarehouse Solution Large warehouse containing all business data Incremental...
... administration Target data Target metadata data Apply Transformation Capture data Target data definitions Source/target mappings Source data definitions Source data Source metadata Hình 3.2.1:Tổng ... Devlin DataWarehouse from Architecture to Implementation, AddisonWesley, 1997 [2] Gabrielle Gagnon Data Warehouse, An Overview, PC Magazine, February 22, 1999 [3] Deepak Gupta - Designing a Data ... liệu Oracle phi Oracle tự động tạo sơ đồ liệu sau lu kho chứa Data Mart Designer cho công cụ Oracle Data Mart Builder sử dụng Data Mart Designer có công cụ thiết kế CSDL Oracle cho Chợ Dữ liệu Việc...
... 1.3 Đặc điểm Trước tiên DataWarehouse sở liệu lớn (very large database-VLDB) DataWarehouse thường đọc, phục vụ cho nhu cầu báo cáo, DataWarehouse hướng tính ổn định DataWarehouse lấy thông tin ... có tương tác với kho liệu Hình 13: The datawarehouse and external data Trang -43- Tìm hiểu DataWarehouse 3.4.Siêu liệu kho liệu (Metadata in the Data warehouse) Siêu liệu yêu cầu có kiến trúc ... đổi liệu điện tử (Electronic data interchange - EDI): 43 3.4 Siêu liệu kho liệu (Metadata in the Data warehouse) 44 3.5 Danh mục kho liệu (The datawarehouse catalog -DWC): 44...
... cáo thực tập tổng hợp Tên đề tài: Khoa: Tin học kinh tế “ Xây dựng phần mềm quản lý hệ thống DataWarehouse Ngân hàng Công thương Việt Nam “ Đây đề tài hay, việc thực đề tài giúp em tổng hơp ... thực hàng ngày Phòng tích hợp hệ thống em định chọn đề tài “ Xây dựng phần mềm quản lý hệ thống DataWarehouse Ngân hàng Công thương Việt Nam “ làm đề tài nghiên cứu cho chuyên đề thực tập tốt nghiệp...
... important logicaldesign validation step It confirms that the design is based on recurrent themes Module 3: LogicalDesign and Behavioral Design Patterns v Lab Strategy ! Lab 3: LogicalDesign ... many design reviews Because the discovery of patterns in a logicaldesign is an art rather than a science, it is important to hold many design reviews to validate the logicaldesign Module 3: Logical ... Microsoft® PowerPoint® file 1910A_03.ppt ! Module 3: LogicalDesign and Behavioral Design Patterns ! Lab 3: LogicalDesign and Behavioral Design Patterns Preparation Tasks To prepare for this...
... center The Three Principles of Data Center Infrastructure Design The Three Principles of Data Center Design When you understand the three principles of data center design, you are able to: • Lower ... transmission within the data center A substandard performing data canter can be just as costly and disruptive to your business as downtime The Three Principles of Data Center Infrastructure Design As networks ... slack Page The Three Principles of Data Center Infrastructure Design Deployment The graphic below depicts a sample data center using ADC's comprehensive line of data center-grade infrastructure...