Orchestrating Big Data with Azure Data Factory faq

learnersLearners: 74
instructor Instructor: / instructor-icon
duration Duration: 4.00 duration-icon

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.

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Go to class

Course Feature

costCost:

Free

providerProvider:

Edx

certificateCertificate:

No Information

languageLanguage:

English

start dateStart 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.

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faq FAQ for Microsoft Azure Courses

Q1: What is Azure Data Factory and how does it help with orchestrating Big Data?

Azure Data Factory is a cloud-based data integration service that helps orchestrate and manage data from disparate data sources. It enables the creation of data pipelines that can be used to move and transform data from on-premises and cloud-based sources to cloud-based data stores. It also provides a visual interface for creating, monitoring, and managing data pipelines, as well as data analytics and data integration capabilities. Additionally, it provides a range of features for data management, cloud computing, and data analytics, such as data pipelines, data integration, and data analytics.

Q2: What are the benefits of using Azure Data Factory for data pipelines and data integration?

Azure Data Factory provides a range of features for data pipelines and data integration, such as data movement, data transformation, and data orchestration. It also provides a visual interface for creating, monitoring, and managing data pipelines, as well as data analytics and data integration capabilities. Additionally, it provides a range of features for data management, cloud computing, and data analytics, such as data pipelines, data integration, and data analytics. This makes it an ideal tool for orchestrating Big Data.

Q3: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q4: Can I take this course for free?

Yes, this is a free course offered by Edx, please click the "go to class" button to access more details.

Q5: How many people have enrolled in this course?

So far, a total of 74 people have participated in this course. The duration of this course is 4.00 hour(s). Please arrange it according to your own time.

Q6: How Do I Enroll in This Course?

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If you're looking for additional Microsoft Azure courses and certifications, our extensive collection at azclass.net will help you.

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