• Post category:StudyBullet-7
  • Reading time:10 mins read


Make Data-Driven Decisions using Microsoft Business Intelligence Tools: SQL Server | SSIS | SSRS | SSAS | Power BI

What you will learn

Connect to multiple data sources

Clean, Transform and import data

Create data relationships

Implementing ETL with SSIS

Create and execute SSIS Package

Configure SSRS Report Server

Create and publish reports with SSRS

Create tabular model with SSAS

Create key performance indicators -KPI’s

Create Perspectives

Create hierarchies

Analyze in Excel

Deploy and Analyze Model

Create data visualizations and dashboards

Publish reports to the Power BI Service

Description

Business intelligence (BI) combines business analytics, data mining, data visualisation, data tools and infrastructure, and best practices to help organisations to make more data-driven decisions. In practice, you know you’ve got modern business intelligence when you have a comprehensive view of your organisation’s data and use that data to drive change, eliminate inefficiencies and quickly adapt to market or supply changes.  Business intelligence comprises the strategies and technologies used by enterprises for the data analysis and management of business information.

Microsoft BI tools provide a solution for handling the volume of important business intelligence information continuously generated by modern companies. With the right tools, you can process huge amounts of data in mere seconds, and it is this part of the process that counts. Any business can collect information, but it takes skill and careful management using business intelligence tools to make it valuable. This is the essence of “business intelligence”: the ability to take vast quantities of market data and extract trends and patterns.

The Microsoft BI Suite is the software giant’s suite of tools designed for easy data processing. That’s putting it a bit simply, but these programs do have a simple objective. The system aims to help businesses turn all of that messy, complex information into extractable insights. It is one of the most popular BI solutions on the market right now.


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The full range of tools enables businesses to direct data through IT systems, identify and isolate data, and create expansive reports on the current status of different departments. They include  (SQL Server Integration Services), SSAS (SQL Server Analytical Services) and SSRS (SQL Server Reporting Services) and Power BI

With these tools, any mass of data can be turned into a digestible report, dashboard, graph, spreadsheet or another format. You just need to input your parameters and let the system know what you need. The Microsoft business intelligence platform works by moving data from multifarious, unmanageable sources to a centralized architecture where it can be reconfigured.

English
language

Content

SQL Server Setup

Introduction
What is SQL Server
SQL Server Editions
SQL Server Installation Requirements
Download SQL Server
Install SQL Server
Install SSMS
Connect SSMS to SQL Server
Please Read
Install adventureworks Database
Install adventureworksDW Database

Visual Studio Setup

What is Visual Studio
Visual studio installation requirements
Visual studio workloads
Installing Visual studio
Install SQL Server Data Tools
Install SSDT BI Templates

Implementing ETL with SSIS

What is ETL
ETL Process – Illustration
What is SSIS
Installing SQL Server Integration Service
Connect to SSIS
Create a a new SSIS Package
SSIS designer
Add and configure a flat file connection manager
Remapping column data types
Add and configure an OLE DB connection manager
Add a data flow task to package
Add and Configure flat file source
Add and configure lookup transformations
Add and configure lookup datekey transformations
Add and configure OLE DB Destination
Test and Run SSIS Package

SQL Server Reporting Services – SSRS

What is SSRS
Installing SQL Server Reporting Services
Report Server configuration requirements
Configure Report Server
Create a report server project
Create a report definition file
Configure a data source for the report
Define a dataset
Add table to report
Format report
Adding totals
Previewing report
Exporting report
Grouping data in a report
Publishing report

SQL Server Analysis Services – SSAS

What is SSAS
Install SSAS
Connecting to SSAS
Creating a tabular model project
Exploring tabular model and authoring
Creating a connection to the data source
Transform and import data
Mark as data table
Create table relationships
Create calculated columns: Part 1
Create calculated columns: Part 2
Creating measures : Part 1
Creating measures : Part 2
Creating measures : Part 3
Creating key performance indicators -KPI’s
Creating Perspectives
Creating hierarchies : Part 1
Creating hierarchies : Part 2
What are partitions
Creating partitions
Creating roles
Analyze in Excel
Deploying Model
Analysing Model

Power BI Setup

What is Power BI
What is Power BI Desktop
Microsoft 365 setup
Exploring Microsoft 365
Creating user accounts on Microsoft 365
Exploring Power BI Interface

Overview of Power BI

Power BI Overview: Part 1
Power BI Overview: Part 2
Power BI Overview: Part 3
Components of Power BI
Building blocks of Power BI
Power BI Service
Power BI Apps

Data Analysis & Visualization with Power BI

Connecting to SQL Server Database
Connecting to web data
Clean and transform data : Part 1
Clean and transform data : Part 2
Combine data sources
Creating Visualizations: Part 1
Creating Visualizations: Part 2
Publishing reports to Power BI Service