Azure Data Warehousing with Power BI

Course Description

Duration: 7 days – 49 hrs

Overview

This comprehensive seven-day course covers SQL Server Integration Services (SSIS) integration with Power BI and Power BI essentials. It includes in-depth training on SSIS package development, data extraction, transformation, and loading (ETL) processes. Additionally, it covers the essential skills and techniques for working with Power BI, such as data modeling, data visualization, sharing and collaboration.

Objectives

Understand the fundamentals of Azure data warehousing and its benefits for business intelligence and analytics.
Learn how to design and implement an effective data warehousing solution using Azure services.
Explore various data integration techniques to extract, transform, and load (ETL) data into Azure data warehouse.
Gain proficiency in modeling data and creating optimized data structures for efficient querying and analysis.
Discover advanced concepts such as partitioning, indexing, and compression to enhance data warehouse performance.
Develop skills in using Azure Analysis Services to create multidimensional and tabular models for Power BI.
Learn best practices for data governance, security, and data quality assurance in an Azure data warehousing environment.
Master the integration of Azure data warehouse with Power BI, enabling seamless visualization and reporting of data.
Understand how to leverage Power BI features, such as DAX calculations and advanced visualizations, for data analysis.
Gain hands-on experience in building end-to-end analytics solutions using Azure data warehousing and Power BI.
Please note that these objectives can be further customized or expanded based on the specific needs and goals of the training program.

Audience

Business Analysts: Individuals working in business analysis roles who need to analyze and interpret data to support decision-making processes within their organization.
Data Analysts: Professionals responsible for collecting, organizing, and analyzing data to uncover insights and trends.
Business Intelligence Professionals: Individuals involved in designing, developing, and implementing business intelligence solutions within their organizations.
Data Managers: Professionals who oversee data management and governance and need to understand how to leverage Power BI for effective data visualization and reporting.
Reporting Specialists: Individuals responsible for creating and presenting reports and dashboards to stakeholders and management teams.
IT Professionals: Those working in IT departments who need to understand how to utilize Power BI for data analysis and visualization tasks.
Project Managers: Professionals responsible for overseeing data-driven projects and need to gain insights from data analysis using Power BI.
Decision-makers: Managers and executives who need to understand how to utilize Power BI to gain data-driven insights and make informed decisions.

Pre- requisites

Basic understanding of data concepts and database management.
Familiarity with business intelligence and data analysis principles.
Proficiency in working with Microsoft Power BI for data visualization and reporting.
Basic knowledge of SQL and data querying.
Understanding of cloud computing concepts, specifically Microsoft Azure.

Course Content

Day 1

Introduction to SQL Server Integration Services (SSIS)

Overview of SSIS and its capabilities
Understanding ETL (Extract, Transform, Load) processes
Integration scenarios with SQL Server and Power BI

Setting Up the Environment

Installing SQL Server Data Tools (SSDT)
Configuring SSIS packages and project settings
Connecting to SQL Server databases and Power BI services

Creating SSIS Packages

Creating a new SSIS project
Adding and configuring data sources
Designing data flow tasks
Transforming and cleansing data using SSIS transformations

Day 2

Advanced SSIS Techniques

Scripting with SSIS using Script Task and Script Component
Implementing custom SSIS components
Parallel processing and data partitioning

Working with Flat Files and Excel Data

Importing and exporting data from flat files
Reading and writing data to Excel files
Handling file formats, delimiters, and encoding

Extracting Data from SQL Server Databases

Using SQL Server as a data source in SSIS packages
Implementing data extraction strategies
Incremental data loading techniques

Day 3

Transforming and Cleaning Data in SSIS

Working with SSIS transformations (e.g., Derived Column, Lookup, Conditional Split)
Data type conversions and validations
Handling null values and data quality issues

Loading Data into Power BI