SQL Server Analysis Services for beginners -SSAS
SQL Server Analysis Services for beginners -SSAS, available at $54.99, has an average rating of 4.8, with 36 lectures, based on 24 reviews, and has 2126 subscribers.
You will learn about Setup Analysis Services Environment Create a Tabular Model Connect to data source Create Table Relationships Create Calculated Columns Create Measures Create Key Performance Indicators Create Perspectives Create Partitions Create Roles Deploy Model Transform and import data This course is ideal for individuals who are Beginners to SQL Server Analysis Services It is particularly useful for Beginners to SQL Server Analysis Services.
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Summary
Title: SQL Server Analysis Services for beginners -SSAS
Price: $54.99
Average Rating: 4.8
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 36
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Setup Analysis Services Environment
- Create a Tabular Model
- Connect to data source
- Create Table Relationships
- Create Calculated Columns
- Create Measures
- Create Key Performance Indicators
- Create Perspectives
- Create Partitions
- Create Roles
- Deploy Model
- Transform and import data
Who Should Attend
- Beginners to SQL Server Analysis Services
Target Audiences
- Beginners to SQL Server Analysis Services
Analysis Services is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data model capabilities for business intelligence (BI), data analysis, and reporting applications such as Power BI, Excel, Reporting Services, and other data visualization tools. Analysis Services is available in different platforms
Tabular models in Analysis Services are databases that run in-memory or in DirectQuery mode, connecting to data from back-end relational data sources. By using state-of-the-art compression algorithms and multi-threaded query processor, the Analysis Services VertiPaq analytics engine delivers fast access to tabular model objects and data by reporting client applications like Power BI and Excel.
While in-memory models are the default, DirectQuery is an alternative query mode for models that are either too large to fit in memory, or when data volatility precludes a reasonable processing strategy. DirectQuery achieves parity with in-memory models through support for a wide array of data sources, ability to handle calculated tables and columns in a DirectQuery model, row level security via DAX expressions that reach the back-end database, and query optimizations that result in faster throughput.
Tabular models are created in Microsoft Visual Studio with the Analysis Services projects extension. The extension installs a tabular model designer, which provides a design surface for creating semantic model objects like tables, partitions, relationships, hierarchies, measures, and KPIs.
Tabular models can be deployed to Power BI Premium, Azure Analysis Services, or an instance of SQL Server Analysis Services configured for Tabular server mode. Deployed tabular models can be managed in SQL Server Management Studio or by using many different tools.
Course Curriculum
Chapter 1: Installations
Lecture 1: Introduction
Lecture 2: What is SQL Server
Lecture 3: SQL Server Editions
Lecture 4: Download SQL Server
Lecture 5: Install SQL Server
Lecture 6: Install SSMS
Lecture 7: Connect SSMS to SQL Server
Lecture 8: Install Sample Database
Lecture 9: What is SSAS
Lecture 10: Installing SSAS
Lecture 11: Connecting to SSAS
Lecture 12: What is Visual Studio
Lecture 13: Installing Visual Studio
Lecture 14: Installing SSDT
Lecture 15: Installing SSDT Designers
Chapter 2: Creating a Tabular Model
Lecture 1: Create a tabular model project
Lecture 2: Explore tabular model authoring
Lecture 3: Create a connection to data source
Lecture 4: Transform and import data
Lecture 5: Mark as date Table
Lecture 6: Create Table Relationships
Lecture 7: Creating Calculated Columns Part 1
Lecture 8: Creating Calculated Columns Part 2
Lecture 9: Creating Measures Part 1
Lecture 10: Creating Measures Part 2
Lecture 11: Creating Measures Part 3
Lecture 12: Creating key performance indictators
Lecture 13: Creating Perspectives
Lecture 14: Creating Hierarchies Part 1
Lecture 15: Creating Hierarchies Part 2
Lecture 16: What are Partitions
Lecture 17: Creating Partitions
Lecture 18: Creating Roles
Lecture 19: Analyze in Excel
Lecture 20: Deploying your Model
Lecture 21: Analysing Model
Instructors
-
Bluelime Learning Solutions
Making Learning Simple
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 7 votes
- 5 stars: 16 votes
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