Power BI Dataflows Essential Training
This course provides an introduction to Power BI dataflows, demonstrating how to use them to streamline data processing and reduce redundant work. It also covers how to scale the ETL process for multiple Power BI data and dashboard users. ▼
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Course Feature
Cost:
Free Trial
Provider:
LinkedIn Learning
Certificate:
No Information
Language:
English
Course Overview
❗The content presented here is sourced directly from LinkedIn Learning platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
(Please note the following content is from the official provider.)
Explains how to use dataflows to scale the extract, transform, and load (ETL) process across many users of Power BI data and dashboards to increase efficiency and eliminate duplicate work. She shows how to connect to various data sources within the Power BI cloud platform; how to use Power Query Online to transform data into usable data sets accessible to users; how to connect a Power BI Desktop file to a Power BI dataflow in the cloud; how to share dataflows so that multiple users can connect to the same ETL process; how to schedule refresh schedules for those dataflows; and more.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This course provides an overview of Power BI Dataflows and how to use them to scale the extract, transform, and load (ETL) process. Learners will gain an understanding of how to connect to various data sources within the Power BI cloud platform, use Power Query Online to transform data into usable data sets, connect a Power BI Desktop file to a Power BI dataflow in the cloud, share dataflows so that multiple users can connect to the same ETL process, and schedule refresh schedules for those dataflows. By the end of the course, learners will have the skills and knowledge to effectively use Power BI Dataflows to increase efficiency and eliminate duplicate work.
[Applications]
After completing this course, users of Power BI Dataflows will be able to apply their knowledge to scale the ETL process across many users of Power BI data and dashboards. They will be able to connect to various data sources within the Power BI cloud platform, use Power Query Online to transform data into usable data sets, connect a Power BI Desktop file to a Power BI dataflow in the cloud, share dataflows so that multiple users can connect to the same ETL process, and schedule refresh schedules for those dataflows.
[Career Paths]
1. Business Intelligence Analyst: Business intelligence analysts use data to help organizations make better decisions. They analyze data from various sources, such as customer surveys, financial reports, and market trends, to identify patterns and trends. They then use this information to create reports and dashboards that help organizations make informed decisions. With the increasing use of Power BI dataflows, business intelligence analysts are able to quickly and easily access and analyze data from multiple sources, allowing them to make more informed decisions.
2. Data Scientist: Data scientists use data to develop models and algorithms that can be used to solve complex problems. They use data from various sources, such as customer surveys, financial reports, and market trends, to identify patterns and trends. With the increasing use of Power BI dataflows, data scientists are able to quickly and easily access and analyze data from multiple sources, allowing them to develop more accurate models and algorithms.
3. Data Engineer: Data engineers are responsible for designing, building, and maintaining data systems. They use data from various sources, such as customer surveys, financial reports, and market trends, to create data pipelines and data warehouses. With the increasing use of Power BI dataflows, data engineers are able to quickly and easily access and analyze data from multiple sources, allowing them to create more efficient data systems.
4. Data Analyst: Data analysts use data to identify patterns and trends. They use data from various sources, such as customer surveys, financial reports, and market trends, to identify patterns and trends. With the increasing use of Power BI dataflows, data analysts are able to quickly and easily access and analyze data from multiple sources, allowing them to identify more accurate patterns and trends.
[Education Paths]
1. Bachelor's Degree in Data Science: A Bachelor's Degree in Data Science is a great way to gain the skills and knowledge needed to work with dataflows in Power BI. This degree program typically covers topics such as data analysis, data visualization, machine learning, and data engineering. Students will learn how to use dataflows to extract, transform, and load data into Power BI, as well as how to create and share dataflows with other users. As data science becomes increasingly important in the business world, this degree path is becoming more popular and in-demand.
2. Master's Degree in Business Analytics: A Master's Degree in Business Analytics is a great way to gain the skills and knowledge needed to work with dataflows in Power BI. This degree program typically covers topics such as data analysis, data visualization, machine learning, and data engineering. Students will learn how to use dataflows to extract, transform, and load data into Power BI, as well as how to create and share dataflows with other users. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.
3. Master's Degree in Computer Science: A Master's Degree in Computer Science is a great way to gain the skills and knowledge needed to work with dataflows in Power BI. This degree program typically covers topics such as data structures, algorithms, software engineering, and database systems. Students will learn how to use dataflows to extract, transform, and load data into Power BI, as well as how to create and share dataflows with other users. As businesses become more reliant on technology, this degree path is becoming more popular and in-demand.
4. Certificate in Data Science: A Certificate in Data Science is a great way to gain the skills and knowledge needed to work with dataflows in Power BI. This certificate program typically covers topics such as data analysis, data visualization, machine learning, and data engineering. Students will learn how to use dataflows to extract, transform, and load data into Power BI, as well as how to create and share dataflows with other users. This certificate path is becoming increasingly popular as businesses look to leverage data to make better decisions.
Course Syllabus
Navigating the Power BI ecosystem
Comparing Power BI versions
Utilizing a dataflow
Utilizing Azure Data Lake
Course Provider
Provider LinkedIn Learning's Stats at AZClass
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