MicroSoft – Business Intelligence Training & Placement Program By Keen IT To request free demo session please mail us at or call us at

About Us Keen IT Technologies Pvt Ltd. is one of the leading IT training Institutions, located in Hyderabad with the objective of providing a Training services for various requirements in IT industry. We deliver corporate trainings as per the student requirements colonize and innovator of global eLearning solutions and providing technology enabled online training for individuals and corporate educators. We have highly talented faculty their respective courses. We furnish with online training given us an edge on numerous Technologies.

Who can take the course? No Experience Required, Basic knowledge of Graphical User Interface (GUIs), and a strong desire to learn may help you a lot. At the end of course: Our classes are practical oriented with real time scenarios, which helps you to gain knowledge on field experience and also can help to face interviews perfectly. A soft copy of the course material enriched with full content and case studies will be delivered to mail. Essential requirements for online training: Team viewer should be installed on your PC for desktop sharing and will be given an id after installation. Create a Skype Account for voice chat or listening

Introduction: What is MS BI? Microsoft Business Intelligence is a term used to refer different tools and systems to monitor, store, analyze and help enterprises to make better decisions. The MS BI contains the following tools: SQL Server Analysis Services (SSAS) SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Performance Point Services (PPS) MS BI benefits for various organization in today's economy Microsoft Business Intelligence (BI) Microsoft Business Intelligence (BI) solutions improve performance of everyone in your organization quickly and access the timely, relevant, and accurate information that drives better decision making. Microsoft Business Intelligence solutions can help yourorganization in following ways:  Find inefficiencies  Saves money  Get real-time information  Find profitable customers MicroSoft – Business Intelligence

Learn To 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].  Microsoft SQL Server Analysis Services [SSAS] and Implement and Maintain Microsoft SQL Server Analysis Services [SSAS].  You’ll expand your data on 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] 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.

Course Highlights :  Microsoft Business Intelligence Online Training describes the complete Microsoft Business Intelligence stack and also the role of every element in order that a far better knowing estimate of resources could be created within the Bi project.  Explain the thought of the Unified data Model; perceive its limitations and sensible implementations and once it would be acceptable to use in an exceedingly quick and low value Bi deployment.  Explain what SQL 2008 and also the R2 unleash modification in Microsoft Bi and the way best to leverage these technologies.  You will learn to use these tools to design reports in either ad-hoc mode or for distribution once or regular on subscriptions.  You will explore the Dashboard designer and see the benefit of that you’ll be able to produce scorecards, filters, KPIs and dashboards.

 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  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  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  Intermediate SSAS KPIs Perspectives Course Overview

 Intermediate SSAS KPIs Perspectives Translations – cube metadata and currency localization Actions – regular, drill-through and reporting  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  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  Beginning MDX Basic syntax Using the MDX query editor in SQL Server Management Studio Most-used Functions & Common tasks New MDX functions

 Intermediate MDX Adding calculated members Adding scripts Adding named sets.NET Assemblies  SSAS Administration Best practices – health monitoring XMLA scripting (SQL Mgmt Studio) Other Documentation methods Security – roles and permissions  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  Introduction to Reporting Clients Excel 2003 Pivot Tables SQL RS & Report Builder SPS RS web parts &.NET 2.0 report viewer controls

 Introduction to Reporting Clients Excel 2003 Pivot Tables SQL RS & Report Builder SPS RS web parts &.NET 2.0 report viewer controls Business Scorecards 2008& ProClarity  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)  SQL Server 2008 Integration Services  Introduction to SQL Server Integration Services Product History SSIS Package Architecture Overview Deploying and Managing SSIS Packages  SSIS for DBAs: Using SQL Server Management Studio The Import and Export Wizard Importing and Exporting Data Working with Packages

 Business Intelligence Development Studio Launching BIDS Project templates The package designer The Toolbox Solution Explorer  Introduction to Control Flow Control Flow Overview Precedence Constraints The Execute SQL Task  Advanced Control Flow Containers – grouping and looping The Web Service Task The WMI tasks The Analysis Services tasks  Introduction to Data Flow Data Flow Overview Data Sources Data Destinations

 Variables and Configurations Variables Overview Variable scope SSIS system variables Using variables in control flow  Debugging, Error Handling and Logging SSIS debugging overview Breakpoints in SSIS SSIS debugging windows Control Flow: The OnError event handler  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  SSIS Package Management The SSIS Service Managing packages with DTUtil

 SSIS Package Management The SSIS Service Managing packages with DTUtil  SQL Server 2008 Reporting Services  Introduction to SQL Server Reporting Services Tour of Features Reporting Services Architecture Reporting Services Terminology  Creating Reports Deconstructing Reporting Services Creating Reports from Scratch  Calculations and Formatting Creating Expressions Using the Global Collections  Grouping and Sorting Creating Groups Calculating Totals and Percentages Interactive Sorting

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