Data Analyst: Power BI | SSRS | SSIS | SSAS | SQL Server
Data Analyst: Power BI | SSRS | SSIS | SSAS | SQL Server, available at $49.99, has an average rating of 3.6, with 88 lectures, based on 15 reviews, and has 2088 subscribers.
You will learn about Setup Data Analysis and Reporting Environment Connect to data source with Power BI Transform and import data with Power BI Create Data Visuals with Power BI Publish Reports to Power BI Service Create Reports with SSRS Format Reports with SSRS Publish reports to Reporting Services Server Create Tabular Data Model with SSAS Transform and import data into data Model with SSAS Create Data Relationships with SSAS Deploy Tabular Model to SQL Server Analysis Services Server Create SSIS Package Create ETL Process with SSIS This course is ideal for individuals who are Beginners to Data Analysis & Reporting It is particularly useful for Beginners to Data Analysis & Reporting.
Enroll now: Data Analyst: Power BI | SSRS | SSIS | SSAS | SQL Server
Summary
Title: Data Analyst: Power BI | SSRS | SSIS | SSAS | SQL Server
Price: $49.99
Average Rating: 3.6
Number of Lectures: 88
Number of Published Lectures: 88
Number of Curriculum Items: 88
Number of Published Curriculum Objects: 88
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- Setup Data Analysis and Reporting Environment
- Connect to data source with Power BI
- Transform and import data with Power BI
- Create Data Visuals with Power BI
- Publish Reports to Power BI Service
- Create Reports with SSRS
- Format Reports with SSRS
- Publish reports to Reporting Services Server
- Create Tabular Data Model with SSAS
- Transform and import data into data Model with SSAS
- Create Data Relationships with SSAS
- Deploy Tabular Model to SQL Server Analysis Services Server
- Create SSIS Package
- Create ETL Process with SSIS
Who Should Attend
- Beginners to Data Analysis & Reporting
Target Audiences
- Beginners to Data Analysis & Reporting
Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.
Power BI consists of several elements that all work together, starting with these three basics:
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A Windows desktop application called Power BI Desktop.
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An online SaaS (Software as a Service) service called the Power BI service.
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Power BI mobile apps for Windows, iOS, and Android devices.
SQL Server Reporting Services (SSRS) is a reporting software that allows you to produce formatted reports with tables in the form of data, graph, images, and charts. These reports are hosted on a server that can be executed any time using parameters defined by the users. It is part of Microsoft SQL Server Services suite.
SQL Server Integration Services is a platform for building enterprise-level data integration and data transformations solutions. Use Integration Services to solve complex business problems by copying or downloading files, loading data warehouses, cleansing and mining data, and managing SQL Server objects and data.
Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.
Integration Services includes a rich set of built-in tasks and transformations, graphical tools for building packages, and the Integration Services Catalog database, where you store, run, and manage packages.
You can use the graphical Integration Services tools to create solutions without writing a single line of code. You can also program the extensive Integration Services object model to create packages programmatically and code custom tasks and other package objects.
SQL Server Analysis services (SSAS) is a multi-dimensional OLAP server as well as an analytics engine that allows you to slice and dice large volumes of data. It is part of Microsoft SQL Server and helps perform analysis using various dimensions. It has 2 variants Multidimensional and Tabular. The SSAS full form is SQL Server Analysis Services.
Analysis Services is an analytical data engine (VertiPaq) 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.
SQL Server is a software application designed to manage databases, it stores and retrieves data as requested by other applications. When software developers are writing new business applications that store information in a database they will very often use SQL Server’s functionality to look after the databases rather than reinventing the wheel writing their own code to do the same thing. This makes writing database applications easier and quicker (and therefore cheaper) as well as making them more reliable, scalable and secure.
SQL Server is known as a “Relational Database” Management System. Data is stored in tables in a similar way to rows and columns in a spreadsheet. If you imagine a database containing accounting information you may have a table for each invoice with values, VAT, Totals, invoice number etc. Each invoice relates to a customer but instead of recording the customer’s details (name, address, discounts etc.) with each invoice you just record it once in a separate table called Customers. The Customers table and Invoices table are linked or “related”.
The “Management System” part of SQL Server makes sure the databases are stored efficiently and the data can be searched or retrieved as quickly as possible. It also makes sure multiple people connecting to the same data are managed properly so you don’t get problems if two people change the same information at the same time.
Course Curriculum
Chapter 1: Power BI Setup
Lecture 1: Introduction
Lecture 2: What is Power BI
Lecture 3: What is Power BI Desktop
Lecture 4: Office 365 Setup
Lecture 5: Install Power BI
Lecture 6: Power BI Desktop Tour
Chapter 2: Power BI Overview
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: Exploring Power BI Desktop Interface
Lecture 7: Exploring Power BI service
Lecture 8: Power BI Apps
Chapter 3: Data Analysis with Power BI
Lecture 1: Connect to data Source
Lecture 2: Clean and transform data: Part 1
Lecture 3: Clean and transform data: Part 2
Lecture 4: combining Data Sources
Lecture 5: Creating data visualization: Part 1
Lecture 6: Creating data visualization: Part 2
Chapter 4: SQL Server Setup
Lecture 1: What is SQL Server
Lecture 2: SQL Server Installation Requirements
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 Adventureworks Database
Lecture 9: Install Sample AdventureworksDW Database
Chapter 5: Visual Studio Setup
Lecture 1: What is Visual Studio
Lecture 2: Installation Requirements
Lecture 3: Install Visual Studio
Lecture 4: Visual Studio workloads
Lecture 5: Install SQL Server Data Tools
Lecture 6: Install SSDT Templates
Chapter 6: Data Analysis& Reporting with SSRS
Lecture 1: What is SSRS
Lecture 2: Install SQL Server Reporting Services
Lecture 3: Requirements to configure report server
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: Group data in report
Lecture 12: Adding totals
Lecture 13: Previewing Report
Lecture 14: Exporting Report
Lecture 15: Publishing Report
Chapter 7: Data Analysis with SSIS
Lecture 1: What is SSIS
Lecture 2: What is ETL
Lecture 3: Install SQL Server Integration Services
Lecture 4: Create a new SSIS Project
Lecture 5: SSIS Designer
Lecture 6: Add and configure a Flat file connection manager
Lecture 7: Remapping Column Data Types
Lecture 8: Add and Configure OLE DB Connection manager
Lecture 9: Add a data flow task to package
Lecture 10: Add and configure the flat file source
Lecture 11: Add and configure lookup transformations
Lecture 12: Add and configure Lookup for DateKey Transformation
Lecture 13: Add and Configure the OLE DB Destination
Lecture 14: Testing the SSIS package
Chapter 8: Create a Tabular Data Model with SSAS
Lecture 1: What is SSAS
Lecture 2: Installing SSAS
Lecture 3: Connecting to SSAS
Lecture 4: Create a tabular model project
Lecture 5: Explore tabular model authoring
Lecture 6: Create a connection to 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: Create measures: Part 1
Lecture 13: Create measures: Part 2
Lecture 14: Create measures: Part 3
Lecture 15: Create Key Performance Indicators
Lecture 16: Create Perspetives
Lecture 17: Create Hierarchies: Part 1
Lecture 18: Create Hierarchies: Part 2
Lecture 19: What are Partitions
Lecture 20: Creating Partitions
Lecture 21: Creating Roles
Lecture 22: Analyze in Excel
Lecture 23: Deploy Model
Lecture 24: Analyze Model
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 1 votes
- 3 stars: 2 votes
- 4 stars: 5 votes
- 5 stars: 5 votes
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