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20466: Implementing Data Models and Reports With SQL Server 2014 Training

Category

SQL Server

Rating
4.4
(4.4)
Price

$2799

Course Description

This data models and reporting course is a five-day instructor-led course. After completing this SQL Server 2014 training course, professionals can manage enterprise BI solutions. It also teaches you how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, design dashboards with Microsoft Sharepoint Server PerformancePoint Services, and identify business insights using data mining.

This course is for professionals who are engaging in learning SQL Server 2012 or SQL Server 2014. It includes the new features in 2014 but also the capabilities across the SQL Server data platform.

This training is designed based on the objectives of the course variant 20466D.

Prerequisites for this training

At least 2 years’ experience of working with relational databases, including:

  • Designing a normalized database.
  • Creating tables and relationships.
  • Querying with Transact-SQL.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Who should attend this course?

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

->Implementing analytical data models, such as OLAP cubes.

->Implementing reports, and managing report delivery.

->Creating business performance dashboards.

->Supporting data mining and predictive analysis.

Schedules


Aug 16, 2021
9:00 am - 5:30 pm EST
Online

Aug 23, 2021
9:00 am - 5:30 pm EST
Online

Aug 30, 2021
9:00 am - 5:30 pm EST
Online
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What you will learn

  • Describe the components, architecture, and nature of a BI solution.
  • Create a multidimensional database with Analysis Services.
  • Implement dimensions in a cube.
  • Implement measures and measure groups in a cube.
  • Use MDX Syntax.
  • Customize a cube.
  • Implement a Tabular Data Model in SQL Server Analysis Services.
  • Use DAX to enhance a tabular model.
  • Create reports with Reporting Services.
  • Enhance reports with charts and parameters.
  • Manage report execution and delivery.
  • Implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.

With Microtek Learning, you’ll receive:

  • Certified Instructor-led training
  • Industry Best Trainers
  • Official Training Course Student Handbook
  • Pre and Post assessments/evaluations
  • Collaboration with classmates (not available for a self-paced course)
  • Real-world knowledge activities and scenarios
  • Exam scheduling support*
  • Learn and earn program*
  • Practice Tests
  • Knowledge acquisition and exam-oriented
  • Interactive online course.
  • Support from an approved ITIL expert
  • For Government and Private pricing*
*For more details call: +1-800-961-0337 or email: info@microteklearning.com

Our Clients

For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.

  • 300+ enterprise clients
  • 100,000+ professionals trained
  • Service 70 of the Fortune 100
  • 96% of our clients would recommend us
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Many Delivery Methods

Flexible delivery methods are available here.

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High-Quality Resources

Resources are included for a comprehensive learning experience.

Curriculum

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform
  • Lab: Exploring a BI Solution

    After completing this module, you will be able to:

  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.
  • Describe key considerations for planning a BI project.
  • This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Lab: Creating a Multidimensional Database

    After completing this module, you will be able to:

  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube.
  • Implement security in a multidimensional database.
  • This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies
  • Lab: Working with Cubes and Dimensions

    After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Sort and group attributes.
  • This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.

  • Working with Measures
  • Working with Measure Groups
  • Lab: Configuring Measures and Measure Groups

    After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.
  • This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Lab: Using MDX

    After completing this module, you will be able to:

  • Describe MDX.
  • Add calculations to a cube.
  • Describe how to use MDX in client applications.
  • This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
  • Lab: Customizing a Cube

    After completing this module, you will be able to:

  • Implement Key Performance Indicators.
  • Implement Actions.
  • Implement Perspectives.
  • Implement Translations.
  • This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
  • Lab: Implementing an Analysis Services Tabular Data Model

    After completing this module, you will be able to:

  • Describe Analysis Services tabular data model projects.
  • Implement an Analysis Services tabular data model.
  • Use an Analysis Services tabular data model.
  • This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.

  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model
  • Lab: Creating Calculated Columns and Measures by using DAX

    After completing this module, you will be able to:

  • Describe the fundamentals of DAX.
  • Use DAX to create calculated columns and measures.
  • This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters
  • Lab: Creating a Report with Report Designer

    After completing this module, you will be able to:

  • Describe the key features of Reporting Services.
  • Use Report Designer to create a report.
  • Group and aggregate data in a report.
  • Publish and view a report.
  • This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
  • Lab: Implementing Report Subscriptions

    After completing this module, you will be able to:

  • Configure security settings for a report server.
  • Configure report execution settings to optimize performance.
  • Use subscriptions and alerts to automate report and data delivery.
  • Troubleshoot reporting issues.
  • This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services
  • Lab: Implementing PerformancePoint Services

    After completing this module, you will be able to:

  • Describe SharePoint Server as a BI platform.
  • Use PerformancePoint Services to deliver BI functionality.
  • Configure PerformancePoint Data Sources.
  • Create Reports, Scorecards, and Dashboards.
  • This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

  • Overview of Data Mining
  • Using the Data Mining Add-in for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming Data Mining Data
  • Lab: Using Data Mining to Support a Marketing Campaign

    After completing this module, you will be able to:

  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel.
  • Create a data mining solution.
  • Validate data mining models.
  • Use data mining data in a report.
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    Course Details

    • Start Date: Aug 16, 2021
    • Duration: 5 Days
    • Skill Level: Intermediate
    • Certification: YES
    • Enrolled: 1483
    • Price: $2799
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