SQL Server 2017 Business Intelligence: Integration Services and Analysis Services
Duration: 5 Days (Face-to-Face or Remote-Live), or 35 hours of coursework with personal facilitation over a four week span (On-Demand)
US Price: $2495 (Face-to-Face or Remote-Live), or $1495 (On-Demand)
Registration: Click here to view upcoming schedules and register for face-to-face sessions, click here to register for live remote attendance sessions, or click here to register for on-demand training with a start date that is convenient for you.
SQL Server 2017 provides a rich environment for business intelligence development. The focus of this course is to familiarize developers with the use of the SQL Server Database Engine, SQL Server Integration Services (SSIS), and SQL Server Analysis Services (SSAS) for business intelligence purposes. Students will design an OLAP database utilizing a star schema (Data Warehouse), and then populate it using ETL routines designed in SSIS. After the data warehouse has been populated, SSAS will be used to build both Multidimensional and Tabular models that will serve as reporting data sources.
Students will learn how to design and build data warehouses and marts using SQL Server Management Studio. In a series of exercises, students develop SSIS packages designed to maintain a data warehouse using the Data Flow control flow task. Also demonstrated are other control flow tasks that can interact with an NTFS file system, FTP server, execute Win32 processes, send emails, and run .NET scripts.
Based on the populated data warehouse they have created, students will then learn how to develop both Multidimensional and Tabular SSAS models using the languages Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX). Cubes will be customized to include Key Performance Indicators (KPIs), Calculated Members, Named Sets, Navigational Hierarchies, and Perspectives.
Familiarity with database concepts, Windows desktop navigation and Transact-SQL. Attendance at our Microsoft Transact-SQL Programming course is highly recommended although not required.
|Business Intelligence Framework Overview
||Integration Services Architecture
|Common SSIS Tasks
|Advanced SSIS Tasks
||Advanced Data Transformations
|SSIS Administration and Automation
||Data Warehouse Design
|Creating and Populating Data Warehouses
||Creating and Managing Cubes
|Multidimensional (MDX) Essentials
||Cube Deployment and Administration
|Creating and Customizing Tabular Models
||Understanding the Data Mining Process
|Working with Data Mining Structures
||Using the Semantic Models in the Presentation Layer
|Microsoft Transact-SQL Programming|
|Microsoft SQL Server 2017 Administration|
|SQL Server 2017 Reporting Services|
|SQL Server 2017 Business Intelligence Application Development (SSRS, SSIS, SSAS)|