This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.
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Data Processing with Azure
LearnQuestAbout this Course
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 12 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Configure batch processing with Databricks and Data Factory on Azure
Use ETL and ELT to load and transform data
Create linked services and identify pipelines for data stored within Data Factory
Explain Data Virtualization in PolyBase
Skills you will gain
- Data Analysis
- Microsoft Azure
- Big Data
- Data Lake
- Data Factory
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Intermediate Level
Approx. 12 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
7 minutes to complete
Introduction
7 minutes to complete
1 video (Total 7 min)
2 hours to complete
Section 1 - Batch Processing with Databricks and Data Factory on Azure
2 hours to complete
5 videos (Total 40 min), 3 readings, 1 quiz
2 hours to complete
Section 2 - Creating Pipelines and Activities
2 hours to complete
4 videos (Total 46 min), 3 readings, 1 quiz
2 hours to complete
Section 3 - Link Services and Datasets
2 hours to complete
5 videos (Total 38 min), 1 reading, 1 quiz
1 hour to complete
Section 4 - Schedules and Triggers
1 hour to complete
5 videos (Total 17 min), 1 reading, 1 quiz
2 hours to complete
Section 5 - Selecting Windowing Functions
2 hours to complete
5 videos (Total 30 min), 1 reading, 1 quiz
2 hours to complete
Section 6 - Configuring Input and Output for Streaming Data Solutions
2 hours to complete
7 videos (Total 33 min), 1 reading, 1 quiz
1 hour to complete
Section 7 - ELT versus ETL in Polybase
1 hour to complete
4 videos (Total 21 min), 1 reading, 1 quiz
Reviews
- 5 stars37.87%
- 4 stars27.27%
- 3 stars13.63%
- 2 stars6.06%
- 1 star15.15%
TOP REVIEWS FROM DATA PROCESSING WITH AZURE
by JMApr 28, 2021
This course gave a detailed overview of Microsoft azure,
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