Orchestrating Big Data with Azure Data Factory
This course teaches students how to use Azure Data Factory to orchestrate big data workflows. It covers topics such as scheduling, managing, and transforming data using Hadoop, SQL, and Azure Data Lake Analytics. Students will gain the skills needed to effectively manage and analyze large datasets. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Edx
Certificate:
No Information
Language:
English
Start Date:
1st Oct, 2019
Course Overview
❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This course, Orchestrating Big Data with Azure Data Factory, provides an overview of how to use Azure Data Factory to coordinate data movement and transformation using technologies such as Hadoop, SQL, and Azure Data Lake Analytics. Participants will learn how to create data pipelines that will allow them to group activities to perform a certain task. In order to complete the course, participants will need a Microsoft Azure subscription. Those without an existing subscription can sign up for a free trial subscription at http://azure.microsoft.com. The labs have been designed to minimize the resource costs required to complete the hands-on activities.
[Applications]
After completing this course, participants can apply their knowledge of Azure Data Factory to orchestrate big data workflows. They can use the platform to create data pipelines that group activities to perform a certain task, and use technologies such as Hadoop, SQL, and Azure Data Lake Analytics to coordinate data movement and transformation. Additionally, participants can use their Microsoft Azure subscription to minimize the resource costs required to complete the hands-on activities.
[Career Paths]
1. Big Data Engineer: Big Data Engineers are responsible for designing, developing, and managing big data solutions. They are responsible for creating data pipelines, managing data storage, and ensuring data quality. They must be knowledgeable in technologies such as Hadoop, SQL, and Azure Data Lake Analytics. As the demand for big data solutions continues to grow, the need for Big Data Engineers is expected to increase.
2. Data Analyst: Data Analysts are responsible for analyzing data to identify trends and patterns. They must be knowledgeable in data analysis techniques and tools such as Azure Data Factory. As businesses continue to rely on data-driven decisions, the demand for Data Analysts is expected to increase.
3. Data Scientist: Data Scientists are responsible for using data to develop predictive models and insights. They must be knowledgeable in data science techniques and tools such as Azure Machine Learning. As businesses continue to rely on data-driven decisions, the demand for Data Scientists is expected to increase.
4. Business Intelligence Developer: Business Intelligence Developers are responsible for developing and maintaining business intelligence solutions. They must be knowledgeable in technologies such as Azure Data Factory and Azure Data Lake Analytics. As businesses continue to rely on data-driven decisions, the demand for Business Intelligence Developers is expected to increase.
[Education Paths]
1. Bachelor of Science in Data Science: This degree path focuses on the development of data-driven solutions to solve complex problems. It combines elements of computer science, mathematics, and statistics to analyze and interpret data. Students learn to use data to create predictive models, develop algorithms, and create visualizations. This degree is becoming increasingly popular as businesses and organizations rely more heavily on data-driven decision making.
2. Master of Science in Business Analytics: This degree path focuses on the application of data-driven techniques to solve business problems. Students learn to use data to identify trends, develop strategies, and optimize operations. This degree is becoming increasingly popular as businesses and organizations rely more heavily on data-driven decision making.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems that can learn from data and make decisions. Students learn to use machine learning algorithms and techniques to develop systems that can autonomously make decisions. This degree is becoming increasingly popular as businesses and organizations rely more heavily on automated decision making.
4. Doctor of Philosophy in Data Science: This degree path focuses on the development of advanced data-driven solutions to solve complex problems. Students learn to use data to create predictive models, develop algorithms, and create visualizations. This degree is becoming increasingly popular as businesses and organizations rely more heavily on data-driven decision making.
Course Provider
Provider Edx's Stats at AZClass
Orchestrating Big Data with Azure Data Factory teaches students how to use Azure Data Factory to orchestrate big data workflows. It covers topics such as scheduling, managing, and transforming data using Hadoop as well as SQL and Azure Data Lake Analytics. Students will gain the skills needed to effectively manage and analyze large data sets. Learners can learn how to use Azure Data Factory to orchestrate big data workflows and manage data movement and transformation. This course will teach learners how to create data pipelines to group activities and perform specific tasks. Learners will also learn how to integrate data and perform analysis using technologies such as Hadoop, SQL, and Azure Data Lake Analytics.
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Orchestrating Big Data with Azure Data Factory