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Description

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.
Who this course is for:
Database professionals
Business Analyst professionals
Data Engineering professionals

What you'll 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.

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Microsoft SQL Server Setup
5
1.1-Introduction
1.2-Please Read
1.3-What is SQL Server
1.4-SQL Server Editions
1.5-Hardware
Software Requirements;1.6-SQL Server Download;1.7-SQL Server Installation;1.8-Install SSMS;1.9-SQL Server Configuration Manager;1.10-Connecting SSMS to SQL Server;1.11-Database Concepts
1
2-Installing Sample Databases
2.1-Installing Adventureworks 2014;2.2-Installing Adventureworks 2016;2.3-Installing AdventureworksDW 2016;2.4-Installing World Wide Importers;2.5-Installing World Wide ImportersDW;2.6-SQL Server Data Files
1
3-Microsoft Visual Studio Setup
3.1-What is Visual Studio;3.2-Minimum Installation Requirements;3.3-Installing Visual Studio;3.4-visual Studio workloads;3.5-Install SQL Server Data Tools;3.6-Installing SSDT Templates
1
4-Introduction to Data Warehousing
4.1-What is Data Warehouse;4.2-Data Warehouse vs Enterprise Data Warehouse;4.3-Data Warehouse Vs Database
1
5-Data Warehouse Requirements
5.1-Hardware Requirements;5.2-Enabling SQL Server Agent;5.3-Database Configurations;5.4-FTDW Sizing Tool ( Already Downloaded);5.5-FTDW Sizing Tool
1
6-Designing a Data Warehouse
6.1-Logical Design of Data Warehouse;6.2-Physical Design of Data Warehouse - Part 1;6.3-Physical Design of Data Warehouse -Part 2;6.4-Designing Dimension Tables
1
7-Creating an ETL Solution
7.1-What is ETL;7.2-What is SSIS;7.3-Introduction to ETL with SSIS;7.4-Creating a new SSIS Project;7.5-Exploring Source Data : Part 1;7.6-Exploring Source Data : Part 2
1
8-Implementing Control Flow & Data flow in an SSIS Package
8.1-Introduction to control flow: Part 1;8.2-Introduction to control flow: Part 2;8.3-Implementing data flow - Part 1;8.4-Implementing data flow - Part 2
1
9-Debugging and Troubleshooting SSIS Packages
9.1-Debugging SSIS Package : Part 1;9.2-Debugging SSIS Package : Part 2;9.3-Logging SSIS Package Events;9.4-Handling errors in an SSIS Package
1
10-Implementing an Incremental ETL Process
10.1-Introduction to incremental ETL Process;10.2-Extracting modified data: Part 1;10.3-Extracting modified data: Part 2;10.4-Extracting modified data: Part 3;10.5-Extracting modified data: Part 4;10.6-Loading modified data: Part 1;10.7-Loading modified data: Part 2;10.8-Working with changing dimensions
1
11-Deploying and Configuring SSIS Packages
11.1-Integration services catalogs;11.2-Deploying SSIS Solutions;11.3-Execute a package with SQL Server Agent;11.4-Configuring advanced SSIS Settings
1
12-Enforcing Data Quality in Data Warehouse
12.1-Installing Data Quality Services;12.2-Cleansing data with data quality services;12.3-Find duplicate data : Part 1;12.4-Find duplicate data : Part 2;12.5-Using data quality services in SSIS data flow
1
13-Consuming Data in a Data Warehouse
13.1-Introduction to Business Intelligence;13.2-Creating a new SSRS Project in VS 2019;13.3-Using SSRS in Data Warehouse: Part 1;13.4-Using SSRS in Data Warehouse: Part 2;13.5-Creating a new SSAS Project;13.6-Data Analysis with SSAS : Part 1;13.7-Data Analysis with SSAS : Part 2
1
14-Microsoft Power BI Setup
14.1-Office 365 Setup;14.2-What is Power BI;14.3-What is Power BI Desktop;14.4-Installing Power BI Desktop;14.5-Power BI Desktop Tour
1
15-Power BI Overview
15.1-Power BI Overview : Part 1;15.2-Power BI Overview : Part 2;15.3-Power BI Overview : Part 3;15.4-Components of Power BI;15.5-Building blocks of Power BI;15.6-Exploring Power BI Desktop Interface;15.7-Exploring Power BI Service;15.8-Power BI Apps
1
16-Data Analysis & Visualisation with Power BI
16.1-Connecting to web based Data;16.2-Cleaning & transforming data - Part 1;16.3-Cleaning & transforming data - Part 2;16.4-Combining Data Sources;16.5-Creating visuals in Power BI - Part 1;16.6-Creating visuals in Power BI - Part 2;16.7-Publishing Report To Power BI Service
0