Data Analyst | ETL : SQL Server,SSIS,SSAS,PowerBI, Alteryx
Data Analyst | ETL : SQL Server,SSIS,SSAS,PowerBI, Alteryx, available at $59.99, has an average rating of 4.45, with 84 lectures, based on 30 reviews, and has 1120 subscribers.
You will learn about Connect to data multiple data sources Extract Data Clean and Transform data Load cleaned and transformed data Create and execute SSIS Package Create Tabular Data model with SSAS Deploy SSAS Model Analyse Data Create Data Visualizations Publish Reports to Power BI Service This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Scientist or Beginner Data Engineer It is particularly useful for Beginner Data Analyst or Beginner Data Scientist or Beginner Data Engineer.
Enroll now: Data Analyst | ETL : SQL Server,SSIS,SSAS,PowerBI, Alteryx
Summary
Title: Data Analyst | ETL : SQL Server,SSIS,SSAS,PowerBI, Alteryx
Price: $59.99
Average Rating: 4.45
Number of Lectures: 84
Number of Published Lectures: 84
Number of Curriculum Items: 84
Number of Published Curriculum Objects: 84
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
- Connect to data multiple data sources
- Extract Data
- Clean and Transform data
- Load cleaned and transformed data
- Create and execute SSIS Package
- Create Tabular Data model with SSAS
- Deploy SSAS Model
- Analyse Data
- Create Data Visualizations
- Publish Reports to Power BI Service
Who Should Attend
- Beginner Data Analyst
- Beginner Data Scientist
- Beginner Data Engineer
Target Audiences
- Beginner Data Analyst
- Beginner Data Scientist
- Beginner Data Engineer
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 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.
Alteryx is a software solution that allows users to quickly access, manipulate, analyze, and output data. This can be done in a one-off manner or, more commonly, the process (called a “workflow”) is something people use on a recurring (daily, weekly, monthly) basis. The way Alteryx builds workflows becomes a form of process documentation allowing users to see, collaborate on, support, and enhance the process. Data can be read and written to files, databases, and APIs. Alteryx is used for access, manipulation, analysis, and output of data. The platform is very robust and can be used in virtually any industry or functional area.
Course Curriculum
Chapter 1: SQL Server Setup
Lecture 1: Introduction
Lecture 2: What is SQL Server
Lecture 3: SQL Server Edition
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 adventureworksDatabase
Lecture 11: Install adventureworksDW Database
Chapter 2: Visual Studio Setup
Lecture 1: What is Visual Studio
Lecture 2: Visual Studio installation requirements
Lecture 3: Install Visual Studio
Lecture 4: Visual studio workloads
Lecture 5: Install SQL Server Data Tools
Lecture 6: Install SSDT Designer Templates
Chapter 3: Implement SSIS | ETL
Lecture 1: What is SSIS
Lecture 2: What is ETL
Lecture 3: Create SSIS Package
Lecture 4: SSIS Designer
Lecture 5: Add and configure a flat file connection manager
Lecture 6: Remapping Column Data Types
Lecture 7: Add and configure an OLE DB Connection manager
Lecture 8: Add a data flow task to package
Lecture 9: Add and configure the flat file source
Lecture 10: Add and configure the lookup transformations
Lecture 11: Add and configure Lookup for datekey transformations
Lecture 12: Add and configure the OLE DB destination
Lecture 13: Test SSIS Package
Chapter 4: SQL Server Analysis Services – SSAS
Lecture 1: What is SSAS
Lecture 2: Install SSAS
Lecture 3: Connect to SSAS
Lecture 4: Creating 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: Creating measures: Part 1
Lecture 13: Creating measures: Part 2
Lecture 14: Creating measures: Part 3
Lecture 15: Create key performance indicators
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 your model
Lecture 24: Analyzing Model
Chapter 5: Power BI Setup
Lecture 1: What is Power BI
Lecture 2: What is Power BI Desktop
Lecture 3: Office 365 Setup
Lecture 4: Install Power BI
Lecture 5: Power BI Desktop Tour
Chapter 6: 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 7: 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: Combine Data Sources
Lecture 5: Create Visualization: Part 1
Lecture 6: Create Visualization: Part 2
Chapter 8: Data Analysis with Alteryx
Lecture 1: What is Alteryx
Lecture 2: Creating a basic workflow
Lecture 3: Connecting to data
Lecture 4: Viewing Data
Lecture 5: Transforming Data
Lecture 6: Cleansing Data
Lecture 7: Adding a new column
Lecture 8: Filtering Data
Lecture 9: Blend and Analyze Data
Lecture 10: Splitting Columns
Lecture 11: Analyze Data based on a column
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 5 votes
- 4 stars: 9 votes
- 5 stars: 16 votes
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