| Medium of instruction: | English |
SQL Server 2008 Analysis Services
What Is Microsoft BI?
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Core concept – BI is the cube or UDM
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Example cube as seen using Excel pivot table
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MS BI is comprehensive – more than Analysis Services on SQL Server
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Demonstration of SQL Reporting Services with cube as data source
OLAP Modeling
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Modeling source schemas—stars and snowflakes
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Understanding dimensional modeling— Dimensions (Type 1, 2, or 3) or rapidly changing
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Understanding fact (measures) and cube modeling
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Other types of modeling—data mining etc…
Using SSAS in BIDS
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Understanding the development environment
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Creating Data Sources and Data Source Views
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Creating cubes – using the UDM and the Cube Build Wizard
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Refining Dimensions and Measures in BIDS
Intermediate SSAS
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KPIs
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Perspectives
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Translations – cube metadata and currency localization
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Actions – regular, drill-through and reporting
Advanced SSAS
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Using multiple fact tables
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Modeling intermediate fact tables
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Modeling M:M dimensions, Fact (degenerate) dimensions, Role-playing dimensions, write back
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dimensions
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Modeling changing dimensions – Dimension Intelligence w/ Wizard
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Using the Add Business Intelligence Wizards – write-back, semi-additive measures, time intelligence,
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account intelligence
Cube Storage and Aggregation
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Storage topics – basic aggregations, MOLAP
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Advanced Storage Design – MOLAP, ROLAP, HOLAP
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Partitions – relational and Analysis Services partitions
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Customizing Aggregation Design – Processing Design
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Rapidly changing dimensions / ROLAP dimensions
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Welcome to the Real Time – Proactive Caching
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Cube processing options
Beginning MDX
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Basic syntax
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Using the MDX query editor in SQL Server Management Studio
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Most-used Functions & Common tasks
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New MDX functions
Intermediate MDX
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Adding calculated members
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Adding scripts
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Adding named sets
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.NET Assemblies
SSAS Administration
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Best practices – health monitoring
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XMLA scripting (SQL Mgmt Studio)
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Other Documentation methods
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Security – roles and permissions
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Disaster Recovery – backup / restore
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Clustering – high availability
Introduction to Data Mining
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What and why?
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Examples of using each of the 9 algorithms (MS Clustering, MS Decision Trees, Naïve Bayes, MS
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Sequence Clustering, MS Time Series, MS Association Rules, MS Neural Network)
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Data Mining dimensions
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Data Mining clients
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Processing mining models
Introduction to Reporting Clients
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Excel 2003 Pivot Tables
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SQL RS & Report Builder
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SPS RS web parts & .NET 2.0 report viewer controls
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Business Scorecards 2005 & ProClarity
Future Directions – Integration with Office 12
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SharePoint 12 and AS
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Report Center (type of dashboard) uses KPIs, Reports, Excel Web, Filter
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Excel Services 12 and AS (Web Services)
SQL Server 2005 Integration Services
Introduction to SQL Server Integration Services
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Product History
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SSIS Package Architecture Overview
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Development and Management Tools
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Deploying and Managing SSIS Packages
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Source Control for SSIS Packages
SSIS for DBAs: Using SQL Server Management Studio
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The Import and Export Wizard
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Importing and Exporting Data
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Working with Packages
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Database Maintenance Plans
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Creating Database Maintenance Plans using SSMS
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Scheduling and Executing Plans
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Examining Database Maintenance Plan Packages
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Changes in SQL Server 2005 Service Pack 2
Business Intelligence Development Studio
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Launching BIDS
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Project templates
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The package designer
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The Toolbox
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Solution Explorer
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The Properties window
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The Variables window
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The SSIS menu
Introduction to Control Flow
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Control Flow Overview
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Precedence Constraints
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The Execute SQL Task
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The Bulk Insert Task
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The File System Task
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The FTP Task
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The Send Mail Task
Advanced Control Flow
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Containers – grouping and looping
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The Web Service Task
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The WMI tasks
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The Analysis Services tasks
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The Execute Process Task
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The Execute Package Task
Introduction to Data Flow
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Data Flow Overview
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Data Sources
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Data Destinations
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Data Transformations
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The Copy Column Transformation
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The Derived Column Transformation
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The Data Conversion Transformation
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The Conditional Split Transformation
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The Aggregate Transformation
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The Sort Transformation
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Data Viewers
Variables and Configurations
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Variables Overview
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Variable scope
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SSIS system variables
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Using variables in control flow
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Using variables in data flow
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Using variables to pass information between packages
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Property expressions
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Configuration Overview
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Configuration options
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Configuration discipline
Debugging, Error Handling and Logging
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SSIS debugging overview
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Breakpoints in SSIS
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SSIS debugging windows
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Control Flow: The OnError event handler
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Data Flow: Error data flow
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Configuring Package Logging
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Built-in log providers
Advanced Data Flow
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Revisiting data sources and destinations
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The Lookup Transformation
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Getting Fuzzy: The Fuzzy Lookup and Fuzzy Grouping Transformations
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The Multicast Transformation
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The Merge and Merge Join Transformations
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The Data Mining Query Transformation
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The Data Mining Model Training Destination
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The Slowly Changing Dimension Transformation
Extending SSIS through Custom Code
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Introduction to SSIS scripting
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The SSIS script editor
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The SSIS object model
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Script in Control flow: The Script Task
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Script in Data flow: The Script Component
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Introduction to SSIS component development
SSIS Package Deployment
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Configurations and deployment
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The deployment utility
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Deployment options
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Deployment security
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Executing packages – DTExec and DTExecUI
SSIS Package Management
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The SSIS Service
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Managing packages with DTUtil
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Managing packages with SQL Server Management Studio Scheduling packages with SQL Server Agent
SQL Server 2005 Reporting Services
Introduction to SQL Server Reporting Services
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Tour of Features
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Reporting Services Architecture
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Reporting Services Terminology
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Reporting Services Editions
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Taking Reporting Services for a Spin
Creating Reports
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Deconstructing Reporting Services
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Shared Data Sources
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Creating Reports from Scratch
Calculations and Formatting
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Creating Expressions
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Using the Global Collections
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Formatting Items
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Conditional Formatting
Grouping and Sorting
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Creating Groups
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Calculating Totals and Percentages
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Interactive Sorting
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Creating Drill-Down Reports
Report Parameters
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Creating Report Parameters
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Creating Drop-Down Parameters
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Multi-Valued Parameters
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Debugging Parameter Issues
Creating Matrix Reports and Charts
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Creating a Basic Matrix Report
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Matrix Subtotals
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Creating a Basic Chart
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Exploring the Charting Possibilities
Managing Reporting Services
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Deploying Reports and Data Sources
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Exporting Reports and Printing
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Using the Web-Based Report Manager
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Using SQL Server Management Studio-based Reporting Services Manager
Reporting Services Security
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Two Parts to Reporting Services Security
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Securing Access to Reports
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Data Source Security
Programming Reporting Services
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The Many Reporting Services APIs
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Integrating Reporting Services into Applications using URL Access
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Using the Report Viewer Controls
Advanced Reporting Services Programming
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Using the Reporting Services Web Service
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Working with Custom Assemblies
Snapshots and Subscriptions
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Caching and Snapshots
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Creating Standard Subscriptions
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Creating Data-Driven Subscriptions
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Managing Subscriptions
Ad-Hoc Reporting with Report Builder
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The Report Builder Architecture
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Creating Report Model Projects
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Running Report Builder
Course Overview
MS BI Online Training
During this Microsoft Business Intelligence [MSBI] online training, you’ll dive into planning ETL solution architecture exploitation Microsoft SQL Server Integration Services and Implementing and Maintaining Microsoft SQL Server Integration Services[SSIS].
Additionally, we are going to extensively cover a way to design Analysis solution design exploitation Microsoft SQL Server Analysis Services [SSAS] and Implement and Maintain Microsoft SQL Server Analysis Services [SSAS].
You’ll expand your data on MDX Queries and learn the way to make advanced reports using expressions, global collections, and conditional data formatting using SQL Server Reporting Services [SSRS] .
Microsoft Business Intelligence [MSBI] training will deep dive you into report server configurations, handling complex reports, Design report models along with reports snapshots and report deliver through subscriptions.
Microsoft Business Intelligence [MSBI] course consists of all real time tasks that arise in day to day activities.
Each topic is roofed with distinctive case studies. Microsoft Business Intelligence [MSBI] course is split into three modules and totals quite 45 hours of instructor-led online training.
About Trainer
Trainer Information
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Working with Microsoft as SQL Server product consultant
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Having total of 7 years Real time experience
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4.7 years of online training experience including corporate training
| Online | ||||
| When | Duration | Where | Remarks | Price |
|
No attendance for this course |
Not Specified | Study Online (on your computer) | Course Duration :45 Hours | Price On Request |
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