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Power BI Integration with AWS and Snowflake

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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.

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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.

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.

Enroll now

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.
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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

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

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Activities

Coming soon We're preparing activities for Power BI Integration with AWS and Snowflake. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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 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 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 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 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 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 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.

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 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.
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.
Focuses specifically on data visualization using Power BI. It provides a step-by-step guide to creating effective data visualizations and dashboards.

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