Microsoft Business Intelligence Tools: SSIS,SSRS,SSAS,BI
Microsoft Business Intelligence Tools: SSIS,SSRS,SSAS,BI, available at $64.99, has an average rating of 4, with 93 lectures, based on 38 reviews, and has 2144 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Scientist or Beginner Business Intelligence Analyst or Beginners to Power BI It is particularly useful for Beginner Data Analyst or Beginner Data Scientist or Beginner Business Intelligence Analyst or Beginners to Power BI.
Enroll now: Microsoft Business Intelligence Tools: SSIS,SSRS,SSAS,BI
Summary
Title: Microsoft Business Intelligence Tools: SSIS,SSRS,SSAS,BI
Price: $64.99
Average Rating: 4
Number of Lectures: 93
Number of Published Lectures: 93
Number of Curriculum Items: 93
Number of Published Curriculum Objects: 93
Original Price: $124.99
Quality Status: approved
Status: Live
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
Who Should Attend
- Beginner Data Analyst
- Beginner Data Scientist
- Beginner Business Intelligence Analyst
- Beginners to Power BI
Target Audiences
- Beginner Data Analyst
- Beginner Data Scientist
- Beginner Business Intelligence Analyst
- Beginners to Power BI
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.
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.
Course Curriculum
Chapter 1: SQL Server Setup
Lecture 1: Introduction
Lecture 2: What is SQL Server
Lecture 3: SQL Server Editions
Lecture 4: SQL Server Installation Requirements
Lecture 5: Download SQL Server
Lecture 6: Install SQL Server
Lecture 7: Install SSMS
Lecture 8: Connect SSMS to SQL Server
Lecture 9: Please Read
Lecture 10: Install adventureworks Database
Lecture 11: Install adventureworksDW Database
Chapter 2: Visual Studio Setup
Lecture 1: What is Visual Studio
Lecture 2: Visual studio installation requirements
Lecture 3: Visual studio workloads
Lecture 4: Installing Visual studio
Lecture 5: Install SQL Server Data Tools
Lecture 6: Install SSDT BI Templates
Chapter 3: Implementing ETL with SSIS
Lecture 1: What is ETL
Lecture 2: ETL Process – Illustration
Lecture 3: What is SSIS
Lecture 4: Installing SQL Server Integration Service
Lecture 5: Connect to SSIS
Lecture 6: Create a a new SSIS Package
Lecture 7: SSIS designer
Lecture 8: Add and configure a flat file connection manager
Lecture 9: Remapping column data types
Lecture 10: Add and configure an OLE DB connection manager
Lecture 11: Add a data flow task to package
Lecture 12: Add and Configure flat file source
Lecture 13: Add and configure lookup transformations
Lecture 14: Add and configure lookup datekey transformations
Lecture 15: Add and configure OLE DB Destination
Lecture 16: Test and Run SSIS Package
Chapter 4: SQL Server Reporting Services – SSRS
Lecture 1: What is SSRS
Lecture 2: Installing SQL Server Reporting Services
Lecture 3: Report Server configuration requirements
Lecture 4: Configure Report Server
Lecture 5: Create a report server project
Lecture 6: Create a report definition file
Lecture 7: Configure a data source for the report
Lecture 8: Define a dataset
Lecture 9: Add table to report
Lecture 10: Format report
Lecture 11: Adding totals
Lecture 12: Previewing report
Lecture 13: Exporting report
Lecture 14: Grouping data in a report
Lecture 15: Publishing report
Chapter 5: SQL Server Analysis Services – SSAS
Lecture 1: What is SSAS
Lecture 2: Install SSAS
Lecture 3: Connecting to SSAS
Lecture 4: Creating a tabular model project
Lecture 5: Exploring tabular model and authoring
Lecture 6: Creating a connection to the data source
Lecture 7: Transform and import data
Lecture 8: Mark as data table
Lecture 9: Create table relationships
Lecture 10: Create calculated columns: Part 1
Lecture 11: Create calculated columns: Part 2
Lecture 12: Creating measures : Part 1
Lecture 13: Creating measures : Part 2
Lecture 14: Creating measures : Part 3
Lecture 15: Creating key performance indicators -KPI's
Lecture 16: Creating Perspectives
Lecture 17: Creating hierarchies : Part 1
Lecture 18: Creating hierarchies : Part 2
Lecture 19: What are partitions
Lecture 20: Creating partitions
Lecture 21: Creating roles
Lecture 22: Analyze in Excel
Lecture 23: Deploying Model
Lecture 24: Analysing Model
Chapter 6: Power BI Setup
Lecture 1: What is Power BI
Lecture 2: What is Power BI Desktop
Lecture 3: Microsoft 365 setup
Lecture 4: Exploring Microsoft 365
Lecture 5: Creating user accounts on Microsoft 365
Lecture 6: Exploring Power BI Interface
Chapter 7: Overview of Power BI
Lecture 1: Power BI Overview: Part 1
Lecture 2: Power BI Overview: Part 2
Lecture 3: Power BI Overview: Part 3
Lecture 4: Components of Power BI
Lecture 5: Building blocks of Power BI
Lecture 6: Power BI Service
Lecture 7: Power BI Apps
Chapter 8: Data Analysis & Visualization with Power BI
Lecture 1: Connecting to SQL Server Database
Lecture 2: Connecting to web data
Lecture 3: Clean and transform data : Part 1
Lecture 4: Clean and transform data : Part 2
Lecture 5: Combine data sources
Lecture 6: Creating Visualizations: Part 1
Lecture 7: Creating Visualizations: Part 2
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 2 votes
- 3 stars: 8 votes
- 4 stars: 9 votes
- 5 stars: 16 votes
Frequently Asked Questions
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