DATA WAREHOUSING IN SQL SERVER 2005/2008 BUSINESS INTELLIGENCE.

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Presentation transcript:

DATA WAREHOUSING IN SQL SERVER 2005/2008 BUSINESS INTELLIGENCE

E XPERIENCE WITH BI Developing end-to-end BI prototype for Plan International Extensive project experience with Reporting Services Books, courses, exams and played Developed numerous reporting apps that should have been BI solutions!

C ONCEPTS Business Intelligence Organisation-wide perspective Combining data from diverse systems High level aggregation to detailed drill-down Relational data not designed for BI Narrow focus on specific business requirement OLTP for speed of entry and integrity OLAP (On-line Analytical Processing) for aggregating large data volumes

C ORE P ROCESSES ELT (Extract, Load, Transform) Import, clean and combine diverse data Store in Data Warehouse Star Schema Relational structure for OLAP, not OLTP Cubes Pre-aggregate results (sum, count) Reporting (Data Mining and Prediction)

SQL S ERVER 2005 SQL Server Management Studio Design and query databases Replaces Enterprise Manager, Query Analyser Manage Servers (DB, AS, RS, IS) SQL Server Business Intelligence Studio VS.NET 2005 projects Design, build and deploy

B USINESS I NTELLIGENCE S TUDIO Integration Services Data import and transform (replaces DTS) Merge data into Star Schema Analysis Services Design and populate Cubes Report Model ERD for reporting Report Server Design and publish reports

S TAR S CHEMA Star focuses on business area Sales, Logistics Fact Table stores numeric measures Order Value, Order Quantity Dimension Tables How data is analysed (aggregates and heirarchies) Product, Customer, Time

DATA WAREHOUSE = BUSINESS INTELLIGENCE Business Intelligence (BI) refers to skills, processes, technologies, applications and practices used to support decision making. historical, current, and predictive views reporting, OLAP, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics. A data warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis. business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

BI IN SQL SERVER 2005 ComponentSQL Server 2005 Extract, transformation, and load (ETL)SQL Server 2005 Integration Services Relational data warehouseSQL Server 2005 relational database Multidimensional databaseSQL Server 2005 Analysis Services (SSAS) Data miningSQL Server 2005 Analysis Services Managed reportingSQL Server 2005 Reporting Services Ad hoc reportingSQL Server 2005 Reporting Services Ad hoc query and analysis Microsoft Office products (Excel, Office Web Components, Data Analyzer, SharePoint Portal) Database development tools SQL Server 2005 Business Intelligence Development Studio Database management toolsSQL Server 2005 SQL Server Management Studio

BASIC CONCEPTS Universal Dimensional Model Cube Drill-down Roll-up Online Analytical Processing (OLAP) …

To create a new Analysis Services project, follow these steps: Select Microsoft SQL Server 2005 > SQL Server Business Intelligence Development Studio from the Programs menu to launch Business Intelligence Development Studio.

To define a Data source for the new cube, follow these steps: Right-click on the Data Sources folder in Solution Explorer and select New Data Source.

To create a new data source view, follow these steps: Right-click on the Data Source Views folder in Solution Explorer and select New Data Source View.

BIDS will automatically display the schema of the new data source view

To create the new cube, follow these steps: Right-click on the Cubes folder in Solution Explorer and select New Cube.

D EPLOYING,P ROCESSING, B ROWSING A C UBE

T ERMINOLOGIES Cube The basic unit of storage and analysis in Analysis Services is the cube. A cube is a collection of data that’s been aggregated to allow queries to return data quickly. Dimension Each cube has one or more dimensions, each based on one or more dimension tables. A dimension represents a category for analyzing business data Fact table A fact table contains the basic information that you wish to summarize. This might be order detail information, payroll records, or anything else that’s amenable to summing and averaging.

WHERE TO GET SQL SERVER UNCC MSDNAAUNCC MSDNAA: academy.com/elms/Storefront/Home.aspx?campus=un cc_cit academy.com/elms/Storefront/Home.aspx?campus=un cc_cit SQL Server 2005 Standard Edition SQL Server 2008 Developer Edition SQL Server 2008 Enterprise Edition