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Welcome to the course on Power BI Integration with AWS and Snowflake. Design and build data models on Snowflake using Snowflake Architecture's unique schema . Manage the hosting of datasets on AWS and connect them with Power BI to stream data and use it to visualize data.
Read more
Welcome to the course on Power BI Integration with AWS and Snowflake. Design and build data models on Snowflake using Snowflake Architecture's unique schema . Manage the hosting of datasets on AWS and connect them with Power BI to stream data and use it to visualize data.
Read more
Welcome to the course on Power BI Integration with AWS and Snowflake. Design and build data models on Snowflake using Snowflake Architecture's unique schema . Manage the hosting of datasets on AWS and connect them with Power BI to stream data and use it to visualize data.
By the end of this course, you will be able to:
1. Create AWS and Snowflake accounts
2. Associate different features offered by Snowflake on Snowsight
3. Compose databases, tables, and S3 buckets in Snowflake and AWS
4. Create connections between Power BI with Snowflake and AWS
This course is designed for data analysts, data administrators, and business analysts seeking to enhance their analytical and design skills.
Prior experience with MS Excel, SQL, AWS Console, R, and RDBMS is beneficial but not mandatory for this course.
Join us on this journey to enhance your visualization skills and elevate your analytical and design capabilities.
Register for this course and see more details by visiting:
OpenCourser.com/course/ntri8y/power
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What's inside
Syllabus
Snowflake Integration with Power BI
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.
Read more
Syllabus
Snowflake Integration with Power BI
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.
Read more
AWS Integration with Power BI
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.
Course Wrap-Up and Assessment
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Strengthens an existing foundation for intermediate learners
Builds a strong foundation for beginners
Examines topics highly relevant in an academic setting
Provides a comprehensive study of science, math, and technology
Covers unique perspectives are ideas that may add color to other topics and subjects
Explores topics which are standard in industry
Save this course
Save Power BI Integration with AWS and Snowflake to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Power BI Integration with AWS and Snowflake with these
activities:
Review Data Warehousing and Business Intelligence Concepts
Show steps
Strengthen your foundational knowledge by reviewing key concepts of data warehousing and business intelligence. Understand the principles of data storage, data modeling, and data analytics to enhance your comprehension of Power BI and its applications.
Browse courses on
Data Warehousing
Show steps
-
Revisit introductory materials and resources on data warehousing and business intelligence
-
Review data modeling techniques and dimensional modeling concepts
-
Refresh your understanding of data analysis techniques and metrics
-
Apply these concepts to the context of Power BI
Review foundational SQL skills
Show steps
SQL will be the main language used to manipulate data. Ensure your foundational SQL skills are up-to-date.
Show steps
-
Review SQL syntax
-
Practice writing SQL queries
Gather Resources and Tools for Power BI Development
Show steps
Enhance your learning experience by compiling a collection of useful resources and tools. Identify relevant documentation, articles, blogs, and software that can support your understanding and practical application of Power BI.
Browse courses on
Data Analysis Tools
Show steps
-
Search for and bookmark online resources related to Power BI
-
Download and install essential Power BI tools and software
-
Create a repository or notebook to organize your resources
-
Regularly update your compilation with new findings and recommendations
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in Power BI Community Discussions
Show steps
Engage with a community of Power BI users and experts. Ask questions, share insights, and learn from the experiences of others to broaden your understanding and enhance your skills.
Show steps
-
Join Power BI community forums or online groups
-
Participate in discussions related to Power BI concepts and techniques
-
Post questions and seek assistance from experienced users
-
Share your knowledge and insights to contribute to the community
Utilize Power BI Desktop to Practice Data Manipulation
Show steps
Enhance your understanding of data manipulation techniques by practicing with Power BI Desktop. Gain hands-on experience in transforming, cleaning, and preparing data for effective analysis.
Browse courses on
Power BI Desktop
Show steps
-
Download and install Power BI Desktop
-
Import a data source and explore its structure
-
Perform data transformations using Power Query Editor
-
Create calculated columns and measures to enhance data analysis
Design a Power BI Dashboard for Business Insights
Show steps
Apply your knowledge by creating a comprehensive Power BI dashboard. Visualize key business metrics, identify trends, and uncover insights to support data-driven decision-making.
Browse courses on
Business Insights
Show steps
-
Identify the business questions and metrics to be addressed
-
Design the dashboard layout and visualizations
-
Configure filters and interactions to enhance user experience
-
Publish and share the dashboard with stakeholders
Review Data Warehousing and Business Intelligence Concepts
Show steps
Strengthen your foundational knowledge by reviewing key concepts of data warehousing and business intelligence. Understand the principles of data storage, data modeling, and data analytics to enhance your comprehension of Power BI and its applications.
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Revisit introductory materials and resources on data warehousing and business intelligence
- Review data modeling techniques and dimensional modeling concepts
- Refresh your understanding of data analysis techniques and metrics
- Apply these concepts to the context of Power BI
Review foundational SQL skills
Show steps
SQL will be the main language used to manipulate data. Ensure your foundational SQL skills are up-to-date.
Show steps
Show steps
Show steps
- Review SQL syntax
- Practice writing SQL queries
Gather Resources and Tools for Power BI Development
Show steps
Enhance your learning experience by compiling a collection of useful resources and tools. Identify relevant documentation, articles, blogs, and software that can support your understanding and practical application of Power BI.
Browse courses on
Data Analysis Tools
Show steps
Show steps
Show steps
- Search for and bookmark online resources related to Power BI
- Download and install essential Power BI tools and software
- Create a repository or notebook to organize your resources
- Regularly update your compilation with new findings and recommendations
Three other activities
Expand to see all activities and additional details
Show all six activities
Participate in Power BI Community Discussions
Show steps
Engage with a community of Power BI users and experts. Ask questions, share insights, and learn from the experiences of others to broaden your understanding and enhance your skills.
Show steps
Show steps
Show steps
- Join Power BI community forums or online groups
- Participate in discussions related to Power BI concepts and techniques
- Post questions and seek assistance from experienced users
- Share your knowledge and insights to contribute to the community
Utilize Power BI Desktop to Practice Data Manipulation
Show steps
Enhance your understanding of data manipulation techniques by practicing with Power BI Desktop. Gain hands-on experience in transforming, cleaning, and preparing data for effective analysis.
Browse courses on
Power BI Desktop
Show steps
Show steps
Show steps
- Download and install Power BI Desktop
- Import a data source and explore its structure
- Perform data transformations using Power Query Editor
- Create calculated columns and measures to enhance data analysis
Design a Power BI Dashboard for Business Insights
Show steps
Apply your knowledge by creating a comprehensive Power BI dashboard. Visualize key business metrics, identify trends, and uncover insights to support data-driven decision-making.
Browse courses on
Business Insights
Show steps
Show steps
Show steps
- Identify the business questions and metrics to be addressed
- Design the dashboard layout and visualizations
- Configure filters and interactions to enhance user experience
- Publish and share the dashboard with stakeholders
Career center
Learners who complete Power BI Integration with AWS and Snowflake will develop knowledge and skills
that may be useful to these careers:
Database Administrator
Database Administrator
Database Administrators are responsible for managing the day-to-day operations of databases, including ensuring data integrity, performance, and security. This course can help individuals develop the skills and knowledge necessary to succeed in this role by providing foundational knowledge of Snowflake architecture, AWS integration, and Power BI connectivity. These technologies play a crucial role in modern data management and analytics, and proficiency in them is essential for Database Administrators.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses, which are large-scale data storage systems used to analyze and report on data. This course can provide Data Warehouse Architects with a solid foundation in Snowflake architecture, AWS cloud services, and Power BI integration. These technologies are essential for building scalable, secure, and efficient data warehouses, and proficiency in them is crucial for Data Warehouse Architects.
Data Analyst
Data Analyst
Data Analysts use data to identify trends, patterns, and insights that can help businesses make better decisions. This course can provide Data Analysts with valuable skills in Snowflake integration, AWS cloud computing, and Power BI visualization. By leveraging these technologies, Data Analysts can efficiently gather, analyze, and present data, enabling them to derive meaningful insights and communicate findings effectively.
Data Architect
Data Architect
Data Architects design and implement data management solutions that meet the needs of an organization. This course can provide Data Architects with a solid foundation in Snowflake architecture, AWS cloud services, and Power BI integration. These technologies are essential for building scalable, secure, and efficient data systems, and proficiency in them is crucial for Data Architects.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to improve business outcomes by identifying inefficiencies, optimizing processes, and developing data-driven strategies. This course can help Business Intelligence Analysts enhance their skills in data integration, cloud computing, and data visualization. By mastering these technologies, they can access and analyze data from various sources, including Snowflake and AWS, and create compelling visualizations that support decision-making.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that supports data storage, processing, and analysis. This course can help Data Engineers develop the skills necessary to work with Snowflake, AWS, and Power BI. These technologies are widely used in data engineering pipelines, and proficiency in them enables Data Engineers to design and implement robust data management solutions.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions. This course can help Cloud Architects gain valuable knowledge in AWS cloud services, including storage, compute, and networking. Additionally, it provides foundational knowledge of Snowflake integration and Power BI connectivity. These technologies are essential for building scalable, secure, and cost-effective cloud-based data solutions.
Data Scientist
Data Scientist
Data Scientists use data to develop machine learning models and predictive analytics. This course may be helpful for Data Scientists who want to expand their expertise in data integration, cloud computing, and data visualization. The course provides foundational knowledge of Snowflake, AWS, and Power BI, enabling Data Scientists to access and analyze data efficiently and communicate their findings through compelling visualizations.
IT Manager
IT Manager
IT Managers oversee the planning, implementation, and maintenance of IT systems within an organization. This course may be helpful for IT Managers who want to enhance their knowledge of data management and analytics technologies. The course provides a foundational understanding of Snowflake, AWS, and Power BI, enabling IT Managers to make informed decisions about data storage, processing, and visualization.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. This course may be helpful for Software Engineers who work on data-driven applications. The course provides a foundation in data integration, cloud computing, and data visualization, enabling Software Engineers to build applications that can effectively access, analyze, and present data.
Product Manager
Product Manager
Product Managers are responsible for developing and managing products. This course may be helpful for Product Managers who want to gain knowledge in data integration, cloud computing, and data visualization. The course provides foundational knowledge of Snowflake, AWS, and Power BI, enabling Product Managers to understand how data can be used to improve product development and decision-making.
For more career information including salaries, visit:
OpenCourser.com/course/ntri8y/power
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Power BI Integration with AWS and Snowflake.
Provides a beginner-friendly introduction to Power BI, and it could be useful as background reading for this course.
Provides a comprehensive guide to data modeling for Power BI, covering data structures, relationships, and best practices. It valuable resource for understanding how to design and implement effective data models.
Save
Provides a guide to using Power BI for data scientists, covering data preparation, modeling, visualization, and machine learning. It valuable resource for learning how to use Power BI to solve real-world data science problems.
This quick start guide provides a concise overview of Power BI, covering its features, functions, and how to get started. It valuable resource for quickly becoming familiar with Power BI.
Provides a practical guide to using Power BI for business intelligence. It covers topics such as data analysis, visualization, and reporting.
Serves as a comprehensive overview of AWS for beginners. It provides an introduction to AWS services, best practices, and use cases.
Save
Focuses specifically on data visualization using Power BI. It provides a step-by-step guide to creating effective data visualizations and dashboards.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ntri8y/power
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Effort
3 weeks of study, spending about 2-3 hours/week
Level
Intermediate
Via
Coursera
Institution
Edureka
Instructor
Edureka
Language
English
This course belongs to a
collection
called
Mastering Power BI for Data Analytics & Storytelling. It's comprised of five courses:
- Data Connection and Functionalities in Power BI
- Power BI for Data Science and Analytics
- Power BI Integration with AWS and Snowflake (viewing)
- Learn Data Storytelling: Power BI Techniques
- Power BI Capstone Project
Good to know
Strengthens an existing foundation for intermediate learners
Builds a strong foundation for beginners
Examines topics highly relevant in an academic setting
Provides a comprehensive study of science, math, and technology
Covers unique perspectives are ideas that may add color to other topics and subjects
Explores topics which are standard in industry
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