
Explore what analysis services is, how to install it with secret server, and the two engines—multidimensional and tabular—with DAX—highlighting fast in‑memory analytics in the tabular engine.
Compare multidimensional and tabular cubes by contrasting row-based versus columnar in-memory storage, highlight compression and real-time measures, and note scripting language differences and on-prem and cloud deployment options.
Explore the SSAS architecture, comparing multidimensional and tabular engines, their query languages, and how client tools like Power BI and Excel connect to a unified semantic model.
Compare SSAS tabular and Power BI for data modeling and reporting, examining shared development, data volume, security, incremental refresh, and model transferability across SSAS and Power BI.
Install SSAS tabular by installing the secret server data tools and Visual Studio, then set up analysis services on a local server with a named tabular instance.
Import the Contoso control database into SQL Server Management Studio by installing SSMS, connecting to the database engine or analysis services, and restoring the backup.
Create your first sempre project in Visual Studio by loading tables from SQL Server into a tabular model, then explore measures, calculated columns, and relationships.
Explore how the workspace server stores tabular data in a workspace database within Analysis Services, either as an integrated workspace in Visual Studio or on a remote server.
Explore project properties for SQL Server SSAS Tabular deployments, including deployment server, deployment addition, database name, and processing options like not processing versus full processing.
Explore model properties, including workspace retention and data backup, in Visual Studio for SQL Server SSAS Tabular. Understand when to keep in memory, unload, or delete the workspace.
Explore calculated columns in a tabular SSAS model by creating a new column in the fact sales table, computing values in memory, and understanding when to use them versus measures.
Learn to create measures in SQL Server SSAS tabular models, compute at query time with DAX, compare measures with calculated columns, and explore measures in the tabular model explorer.
Create calculated tables in SQL Server Analysis Services tabular models using DAX formulas like ADDCOLUMNS to derive new in-memory tables stored in the model during processing.
Explore Visual Studio's data view and diagram view for table management and relationships; create hierarchies in the diagram view, using product table fields like brand name and color name.
Learn to query a tabular cube from Excel using Analyze in Excel, leveraging measures, hierarchies, and pivot tables for immediate results and live workspace connections.
Learn to query a tabular analysis services cube with Power BI using the native language, compare it to Excel's MDX, and explore live connections, measures, and cross-client calculations.
Load data into the SSAS tabular cube using the table import wizard, setting server and database names. Choose impersonation between Windows authentication and a service account to control access.
discover how to manage big tables in tabular cubes by using development filters and views, avoid import pitfalls, and keep production stable when source changes occur via view-based data sources.
Learn naming guidelines for tables, columns, and measures in a tabular model, including refactoring names, using friendly names and display folders to improve readability and debugging.
Learn to use perspectives in ssas tabular models to tailor which measures and columns users see, via metadata, while noting perspectives are not security features.
Translate metadata into multiple languages using the translations feature in sql server analysis services tabular, export and import translations through visual studio and the model translation tools.
Learn to build KPIs in a tabular cube with DAX measures like margin percent, dynamic targets against the overall average, and color-coded status indicators.
Explore granular security in Analysis Services tabular, including static and dynamic role-based access, permissions (read, process, admin), row filters, and managing members via Active Directory and groups.
Learn how the admin role in SQL Server SSAS tabular overrides security and how to manage admin rights in management studio with full control or read-only permissions.
Create a new filter context in tabular analysis services and assign a role to restrict users to German customers, ensuring cross-table data is filtered accordingly and tested with Excel.
Learn how to set up a date table and role filters in a tabular model to show sales by calendar year and color, using related and bidirectional filters with tradeoffs.
Conclude this course with encouragement to review and share feedback, and stay up to date as you begin your own projects, confident you learned the topics you expected.
This is the number 1 course for learning Tabular SSAS according to many successful real life customers. Most times customers didn't know how to handle SSAS (Analysis Services) because they were missing the technical basis to develop their business intelligence solution. Occasionally they already have a multidimensional Analysis Services Model, which offers some drawbacks in comparison with the new possibilities, that come with Tabular Cubes.
I have another course that deals with multidimensional Cubes. Feel free to preview section "Differences between Multidimensional and Tabular Cubes" to consider which course fits better.
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Welcome to my practical Course on SSAS Tabular Cube Tutorial for non techies // Power BI // Practice:
You are looking for modern and meaningful Business Intelligence (BI) reports? So far, you're missing the experience and the confidence in your technical skills, to just get started and create a comprehensive data model, that suits your needs of a modern state of the art BI solution?
Or are you about to make a big move into a highly trained job and therefore want to improve your data analytics skills? The business intelligence market is one of the fastest growing branches of business, according to relevant expert opinions. Increase your personal value for your current employer or future companies, by convincing them with your practical, custom-designed Know-How.
This tutorial is specially for people, who like to justify operational decisions on solid data with the help of SSAS, Excel and Power BI.
You are going to learn in this course how to integrate data in SQL Server, how to set up your own tabular cubes in SSAS and at the end, how to retrieve the data through modern Front-end tools. Furthermore this is not an abstract high-level tutorial, but rather a self practicing course.
I will provide you with all the Files, scripts, software which you need in this course and going to show you step by step how to install SQL Server and it's components (SSAS, SSIS, SSRS). We will work with the newest SQL Server 2017 and Power BI version, that for training reasons are completely free of charge!
Don't hesitate to improve your knowledge and increase your business intelligence job chances. Learn to love SSAS and handle it like a pro.
Do the first step with this course and get insights to a whole new view inside the world of data analysis!
Note: In this course you'll also get downloadable source code.