When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
Take your data visualization and business intelligence skills further by learning how to connect Power BI with AWS and Snowflake, two of the most widely used platforms in cloud analytics. This course gives you practical experience designing, building, and managing data models in Snowflake using its unique architecture, as well as hosting, streaming, and visualizing datasets with AWS and Power BI.
By the end of this course, you’ll know how to:
- Set up AWS and Snowflake accounts and navigate their interfaces for data management.
- Explore Snowsight, Snowflake’s user interface, to discover tables, data warehouses, and advanced analytics tools.
- Create and manage databases, tables, and S3 storage buckets in both Snowflake and AWS for efficient data storage.
- Connect Power BI to Snowflake and AWS, enabling you to visualize and analyze live data from cloud sources.
- Apply best practices for data security, governance, and cost optimization in cloud environments.
This course is ideal for data analysts, business analysts, database administrators, and anyone seeking to advance their ability to work with cloud-based analytics tools. Some past experience with MS Excel, SQL, AWS, R, or relational databases is helpful but not required.
You will finish with hands-on expertise in cloud data integration, scalable architecture, automated reporting, and advanced business intelligence ,preparing you for real-world analytics roles in organizations using modern cloud platforms.
In this module, you will learn how different data sources are used to store and manage databases, which can be later connected with Power BI. Make use of Snowflake storage services to store and manipulate data into the correct structure, which later can be used to visualize data to find hidden insights and findings to further the decision-making skills of an individual.
Organizations, Accounts, Databases and Schemas•3 minutes
Tables and Views •4 minutes
Database and Schemas •7 minutes
Creating Database and Schemas on Snowflake•5 minutes
Creating Tables•4 minutes
Inserting Data and Managing Views•6 minutes
Installation of Power Bi desktop and Service•6 minutes
What is Power BI•8 minutes
Applications of Power BI•3 minutes
Working with Power BI•5 minutes
Snowflake integration with Power BI•6 minutes
Summary of Power BI Integration with Snowflake•2 minutes
5 readings•Total 120 minutes
Welcome to Power BI Integration with AWS and Snowflake•10 minutes
Snowsight•30 minutes
Data Lifecycle•20 minutes
Snowflake in Power BI•30 minutes
Power BI SSO to Snowflake•30 minutes
5 assignments•Total 24 minutes
Knowledge Check : Data modelling with Snowflake•5 minutes
Knowledge Check: Data Visualization •5 minutes
Knowledge Check: Power BI Integration with Snowflake•10 minutes
Practice Quiz: Data modelling with Snowflake•2 minutes
Practice Quiz: Data Visualization •2 minutes
1 discussion prompt•Total 10 minutes
Introduce Yourself•10 minutes
AWS Integration with Power BI
Module 2•3 hours to complete
Module details
In this module, you will learn about AWS's benefits and improvements over traditional databases and also explore the Amazon console, which is used to manage services. Learn to create and upload a database on S3 storage and connect it to Power BI. Gain knowledge of connectors used to manage the database. Visualize the imported data and find the hidden insights present in the database.
What's included
11 videos5 readings5 assignments
Show info about module content
11 videos•Total 45 minutes
Introduction to Cloud Computing•4 minutes
Cloud Computing Service and Deployment Models•5 minutes
Amazon Web Services and its Benefits•3 minutes
Amazon's Region and Availability Zones•3 minutes
What is a Free Tier Account?•3 minutes
Signup an AWS Free Tier Account•5 minutes
Different Amazon Web Services•5 minutes
Installing R for Power BI•2 minutes
Configuration of AWS S3•5 minutes
Integrating Power BI with AWS•7 minutes
Summary of Power BI Integration with AWS•3 minutes
5 readings•Total 130 minutes
AWS Documentation•30 minutes
Amazon Simple Storage Service (S3 Bucket)•30 minutes
AWS Tutorial: Introduction to Cloud Computing•20 minutes
Using Microsoft Power BI Desktop in AWS Cloud•30 minutes
Connecting the Microsoft Power BI service to AWS data sources•20 minutes
5 assignments•Total 24 minutes
Knowledge Check: Introduction to AWS•5 minutes
Knowledge Check: Data Connection of AWS with Power BI•5 minutes
Knowledge Check: Power BI Integration with AWS•10 minutes
Practice Quiz: Introduction to AWS•2 minutes
Practice quiz: Data Connection of AWS with Power BI•2 minutes
Course Wrap-Up and Assessment
Module 3•1 hour to complete
Module details
This module is designed to assess an individual on the various concepts and teachings covered in this course. Answer a comprehensive quiz which marks you as a learner who is confident in working with Power BI.
What's included
1 video1 reading1 assignment1 discussion prompt
Show info about module content
1 video•Total 3 minutes
Course Summary of Power BI with AWS and Snowflake•3 minutes
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the
highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip
themselves with industry-relevant skills in today’s cutting edge technologies.
Learn how to harness the full potential of Power BI's data source connections, empowering you to visualize and analyze data efficiently. Gain essential skills to connect Power BI with AWS and Snowflake, enabling effective data visualization and analysis. Elevate your data analysis capabilities with this comprehensive course, enabling efficient data visualization and analysis.
Who is this course designed for?
This course caters to a diverse audience, embracing those new to the field as Freshers. Database Administrators will enhance their skills in database management, while BI Developers will gain insights into seamless database integration and visualization. Business Analysts will learn to design and maintain databases for creating paginated reports and dashboards
Do I need prior experience with MS Excel, AWS, Snowflake, Power BI and RDBMS?
Prior working experience with MS Excel, AWS, Snowflake, Power BI and RDBMS (Relational Database Management Systems) is advantageous, offering a valuable foundation for this course. However, it is important to note that possessing proficiency in these tools is not obligatory.
What is the duration of this course?
This course is designed to span approximately three weeks each week comprising of roughly 1-2 hours each, encompassing a diverse range of learning materials and activities. Throughout this course, learners will engage with various educational resources, including video content on the Power BI with Microsoft SQL Server, reading materials to deepen understanding, graded quizzes to assess comprehension, and thought-provoking discussion prompts to encourage collaborative learning and critical thinking.
Do I need to have Power BI Service, AWS and Snowflake accounts for this course?
Yes, you will need a Power BI Desktop, AWS Free Tier, and Snowflake web-hosted accounts, all of which are absolutely free for this course.
Does the utilization of AWS and Snowflake incur any charges?
No, the utilization of AWS and Snowflake accounts does not incur any charges as long as you stay within the free tier usage limits provided by each service.
Which cloud platforms and BI tools are covered?
The course covers Power BI integration with AWS and Snowflake, focusing on real-world BI workflows.
What types of data sources will I connect?
You’ll connect structured datasets from AWS and Snowflake into Power BI for analysis and visualization.
What career roles will this course prepare me for?
It prepares you for BI Analyst, Data Engineer, and Cloud Analytics roles that use Power BI with cloud data.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.