Data Analysis with SQL Server Analysis Server – SSAS

Data Analysis with SQL Server Analysis Server – SSAS, available at $19.99, has an average rating of 4, with 27 lectures, based on 22 reviews, and has 2387 subscribers.

You will learn about Install SQL Server Install SQL Server Analysis Services Install Visual Studio Install SQL Server Data Tools Create a tabular model Create a connection to data source Transform and import data Create relationships Create measures Create key performance indicators – KPI 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: Data Analysis with SQL Server Analysis Server – SSAS

Price: $19.99

Average Rating: 4

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $22.99

Quality Status: approved

Status: Live

What You Will Learn

Install SQL Server
Install SQL Server Analysis Services
Install Visual Studio
Install SQL Server Data Tools
Create a tabular model
Create a connection to data source
Transform and import data
Create relationships
Create measures
Create key performance indicators – KPI

Who Should Attend

Beginners to SQL Server Analysis Services

Target Audiences

Beginners to SQL Server Analysis Services

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

SQL Server Analysis Services (SSAS) is the technology from the Microsoft Business Intelligence stack, to develop Online Analytical Processing (OLAP) solutions. In simple terms, you can use SSAS to create cubes using data from data marts / data warehouse for deeper and faster data analysis.

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.

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, relationships, 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: SQL Server | SSAS | Visual Studio Setup

Lecture 1: Introduction

Lecture 2: What is SQL Server

Lecture 3: What is SSAS

Lecture 4: What is Visual Studio

Lecture 5: Download SQL Server

Lecture 6: Install SQL Server

Lecture 7: Install SSMS

Lecture 8: Connect SSMS to SQL Server

Lecture 9: Install Sample database

Lecture 10: Install Visual studio

Lecture 11: Visual studio workloads

Lecture 12: Install SQL Server Data Tools

Lecture 13: Install SSDT Template Designers

Lecture 14: Install SSAS

Lecture 15: Connecting to SSAS

Chapter 2: Data Analysis with SQL Server Analysis Services

Lecture 1: Create a tabular model

Lecture 2: Explore tabular model authoring

Lecture 3: Creating a connection to data source

Lecture 4: Transform and import data

Lecture 5: Mark as data table

Lecture 6: Create table relationships

Lecture 7: Create calculated columns: Part 1

Lecture 8: Create 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 KPI's

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 6 votes
4 stars: 7 votes
5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

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