Medium of instruction: | English |
Module |
Title |
Contents |
Module 1: |
What Is Microsoft BI? |
Core concept – BI is the cube or UDM Example cube as seen using Excel pivot table MS BI is comprehensive – more than Analysis Services on SQL Server Demonstration of SQL Reporting Services with cube as data source |
Module 2: |
OLAP Modeling |
Modeling source schemas—stars and snowflakes Understanding dimensional modeling— Dimensions (Type 1, 2, or 3) or rapidly changing Understanding fact (measures) and cube modeling Other types of modeling—data mining etc. |
Module 3: |
Using SSAS in BIDS |
Understanding the development environment Creating Data Sources and Data Source Views Creating cubes – using the UDM and the Cube Build Wizard Refining Dimensions and Measures in BIDS |
Module 4: |
Intermediate SSAS |
KPIs Perspectives Translations – cube metadata and currency localization Actions – regular, drill-through and reporting |
Module 5: |
Advanced SSAS |
Using multiple fact tables Modeling intermediate fact tables Modeling M:M dimensions, Fact (degenerate) dimensions, Role-playing dimensions, write back dimensions Modeling changing dimensions – Dimension Intelligence w/ Wizard Using the Add Business Intelligence Wizards – write-back, semi-additive measures, time intelligence, account intelligence |
Module 6: |
Cube Storage and Aggregation |
Storage topics – basic aggregations, MOLAP Advanced Storage Design – MOLAP, ROLAP, HOLAP Partitions – relational and Analysis Services partitions Customizing Aggregation Design – Processing Design Rapidly changing dimensions / ROLAP dimensions Welcome to the Real Time – Proactive Caching Cube processing options |
Module 7: |
Beginning MDX |
Basic syntax Using the MDX query editor in SQL Server Management Studio Most-used Functions & Common tasks New MDX functions |
Module 8: |
Intermediate MDX |
Adding calculated members Adding scripts Adding named sets .NET Assemblies |
Module 9: |
SSAS Administration |
Best practices – health monitoring XMLA scripting (SQL Mgmt Studio) Other Documentation methods Security – roles and permissions Disaster Recovery – backup / restore Clustering – high availability |
Module 10: |
Introduction to Data Mining |
What and why? Examples of using each of the 9 algorithms (MS Clustering, MS Decision Trees, Naïve Bayes, MS Sequence Clustering, MS Time Series, MS Association Rules, MS Neural Network) Data Mining dimensions Data Mining clients Processing mining models |
Module 11: |
Introduction to Reporting Clients |
Excel 2003 Pivot Tables SQL RS & Report Builder SPS RS web parts & .NET 2.0 report viewer controls Business Scorecards 2005 & ProClarity |
Module 12: |
Future Directions – Integration with Office 12 |
SharePoint 12 and AS Report Center (type of dashboard) uses KPIs, Reports, Excel Web, Filter Excel Services 12 and AS (Web Services) |
Module 13: |
Introduction to SQL Server Integration Services |
Product History SSIS Package Architecture Overview Development and Management Tools Deploying and Managing SSIS Packages Source Control for SSIS Packages |
Module 14: |
SSIS for DBAs: Using SQL Server Management Studio |
The Import and Export Wizard Importing and Exporting Data Working with Packages Database Maintenance Plans Creating Database Maintenance Plans using SSMS Scheduling and Executing Plans Examining Database Maintenance Plan Packages Changes in SQL Server 2005 Service Pack 2 |
Module 15: |
Business Intelligence Development Studio |
Launching BIDS Project templates The package designer The Toolbox Solution Explorer The Properties window The Variables window The SSIS menu |
Module 16: |
Introduction to Control Flow |
Control Flow Overview Precedence Constraints The Execute SQL Task The Bulk Insert Task The File System Task The FTP Task The Send Mail Task |
Module 17: |
Advanced Control Flow |
Containers – grouping and looping The Web Service Task The WMI tasks The Analysis Services tasks The Execute Process Task The Execute Package Task |
Module 18: |
Introduction to Data Flow |
Data Flow Overview Data Sources Data Destinations Data Transformations The Copy Column Transformation The Derived Column Transformation The Data Conversion Transformation The Conditional Split Transformation The Aggregate Transformation The Sort Transformation Data Viewers |
Module 19: |
What Is Microsoft BI? |
Variables Overview Variable scope SSIS system variables Using variables in control flow Using variables in data flow Using variables to pass information between packages Property expressions Configuration Overview Configuration options Configuration discipline |
Module 20: |
Debugging, Error Handling and Logging |
SSIS debugging overview Breakpoints in SSIS SSIS debugging windows Control Flow: The OnError event handler Data Flow: Error data flow Configuring Package Logging Built-in log providers |
Module 21: |
Advanced Data Flow |
Revisiting data sources and destinations The Lookup Transformation Getting Fuzzy: The Fuzzy Lookup and Fuzzy Grouping Transformations The Multicast Transformation The Merge and Merge Join Transformations The Data Mining Query Transformation The Data Mining Model Training Destination The Slowly Changing Dimension Transformation |
Module 22: |
Extending SSIS through Custom Code |
Introduction to SSIS scripting The SSIS script editor The SSIS object model Script in Control flow: The Script Task Script in Data flow: The Script Component Introduction to SSIS component development |
Module 23: |
SSIS Package Deployment |
Configurations and deployment The deployment utility Deployment options Deployment security Executing packages – DTExec and DTExecUI |
Module 24: |
SSIS Package Management |
The SSIS Service Managing packages with DTUtil Managing packages with SQL Server Management Studio Scheduling packages with SQL Server Agent |
Module 25: |
Introduction to SQL Server Reporting Services |
Tour of Features Reporting Services Architecture Reporting Services Terminology Reporting Services Editions Taking Reporting Services for a Spin |
Module 26: |
Creating Reports |
Deconstructing Reporting Services Shared Data Sources Creating Reports from Scratch |
Module 27: |
Calculations and Formatting |
Creating Expressions Using the Global Collections Formatting Items Conditional Formatting |
Module 28: |
Grouping and Sorting |
Creating Groups Calculating Totals and Percentages Interactive Sorting Creating Drill-Down Reports |
Module 29: |
Report Parameters |
Creating Report Parameters Creating Drop-Down Parameters Multi-Valued Parameters Debugging Parameter Issues |
Module 30: |
Creating Matrix Reports and Charts |
Creating a Basic Matrix Report Matrix Subtotals Creating a Basic Chart Exploring the Charting Possibilities |
Module 31: |
Managing Reporting Services |
Deploying Reports and Data Sources Exporting Reports and Printing Using the Web-Based Report Manager Using SQL Server Management Studio-based Reporting Services Manager |
Module 32: |
Reporting Services Security |
Two Parts to Reporting Services Security Securing Access to Reports Data Source Security |
Module 33: |
Programming Reporting Services |
The Many Reporting Services APIs Integrating Reporting Services into Applications using URL Access Using the Report Viewer Controls |
Module 34: |
Advanced Reporting Services Programming |
Using the Reporting Services Web Service Working with Custom Assemblies |
Module 35: |
Snapshots and Subscriptions |
Caching and Snapshots Creating Standard Subscriptions Creating Data-Driven Subscriptions Managing Subscriptions |
Module 36: |
Ad-Hoc Reporting with Report Builder |
The Report Builder Architecture Creating Report Model Projects Running Report Builder |
Online | ||||
When | Duration | Where | Remarks | Price |
Not Specified | Not Specified | Study Online (on your computer) | Not Specified | Price On Request |
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