Data Warehouse & Power BI For Beginners -DW ,SSIS, ETL, BI

Implement a MS SQL Server Data Warehouse & Power BI Solution

3.85 (89 reviews)
Udemy
platform
English
language
Data & Analytics
category
Data Warehouse & Power BI For Beginners -DW ,SSIS, ETL, BI
6,402
students
9.5 hours
content
Sep 2021
last update
$59.99
regular price

What you will learn

Describe the key elements of a data warehousing solution

Describe the main hardware considerations for building a data warehouse

Implement a logical design for a data warehouse

Implement a physical design for a data warehouse

Create columnstore indexes

Implementing a MS SQL Server Data Warehouse

Describe the key features of SSIS

Implement a data flow by using SSIS

Implement control flow by using tasks and precedence constraints

Create dynamic packages that include variables and parameters

Debug SSIS packages

Describe the considerations for implement an ETL solution

Implement Data Quality Services

Deploy SSIS projects

Implement a Master Data Services model

Describe how you can use custom components to extend SSIS

Describe BI and common BI scenarios

Create a data warehouse with Microsoft SQL Server

Implement ETL with SQL Server Integration Services

validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Why take this course?

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are intended to perform queries and analysis and often contain large amounts of historical data. The data within a data warehouse is usually derived from a wide range of sources such as application log files and transaction applications.

A data warehouse centralizes and consolidates large amounts of data from multiple sources. Its analytical capabilities allow organizations to derive valuable business insights from their data to improve decision-making. Over time, it builds a historical record that can be invaluable to data scientists and business analysts. Because of these capabilities, a data warehouse can be considered an organization’s “single source of truth.”

Data warehouses offer the overarching and unique benefit of allowing organizations to analyze large amounts of variant data and extract significant value from it, as well as to keep a historical record.

A typical data warehouse often includes the following elements:

  • A relational database to store and manage data

  • An extraction, loading, and transformation (ELT) solution for preparing the data for analysis

  • Statistical analysis, reporting, and data mining capabilities

  • Client analysis tools for visualizing and presenting data to business users

  • Other, more sophisticated analytical applications that generate actionable information by applying data science and artificial intelligence (AI) algorithms, or graph and spatial features that enable more kinds of analysis of data at scale.


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:

  • A Windows desktop application called Power BI Desktop.

  • An online SaaS (Software as a Service) service called the Power BI service.

  • Power BI mobile apps for Windows, iOS, and Android devices.

Reviews

Jamie
February 8, 2022
I found this interesting and well developed as an introduction to SSIS, a little high level at times and more details examples and exercise's to work through would be great.
Hilosi
October 27, 2021
The course is good for those who have never had contact with SSIS, SSAS and SSRS. It could have explored these SQL SERVER features further.
Md.
September 26, 2021
Videos are not done seamlessly and hence learning experience is not good. I had to purchase another course with two parts and that is very detail and helpful.

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Coupons

DateDiscountStatus
9/9/2021100% OFF
expired
4280656
udemy ID
9/4/2021
course created date
9/9/2021
course indexed date
Angelcrc Seven
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