Data Engineering on Microsoft Azure

Data Engineering on Microsoft Azure certification validates one’s ability to design and implement data solutions on Microsoft’s cloud platform, Azure. This certification involves understanding of various data platform technologies, data storage, data processing, data security, and troubleshooting techniques.

3 hours 56 minutes 4 Enrolled 4.5 (4) Beginner

Data Engineering on Microsoft Azure Course Online

Data Engineering on Microsoft Azure certification validates one’s ability to design and implement data solutions on Microsoft’s cloud platform, Azure. This certification involves understanding of various data platform technologies, data storage, data processing, data security, and troubleshooting techniques. In industries, data engineers with this certification help in transforming business needs into secure, scalable, and reliable solutions. These professionals use Azure’s suite of data services, including Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics, to support business analytics and AI capabilities, thereby enhancing productivity and efficiency. This certification is an excellent amalgamation of technical know-how and industry-specific skills in the data engineering domain.

Course Prerequisites

Participants taking part in Data Engineering on Microsoft Azure training should have knowledge of cloud computing and data concepts.
It would be beneficial if the participant has completed the below-mentioned courses that include:
  • Microsoft Azure Fundamentals certification training
  • Microsoft Azure Data Fundamentals certification training

Target Audience : Data Engineering on Microsoft Azure Certification Training

– Data professionals and business intelligence professionals who aim to enhance their data engineering skills.
– IT professionals looking to gain knowledge about implementing data solutions on Microsoft Azure.
– Individuals interested in taking the Microsoft Certified: Azure Data Engineer Associate exam.
– IT specialists planning to work on the structural design and development of the Azure data platform.

Why Choose this Course: Data Engineering on Microsoft Azure Certification Training?

– Course offers Certified Instructors who have deep knowledge of the course, enhancing the learning experience.
– The course can help individuals Boost Their Career by gaining competitive skills in Data Engineering on Microsoft Azure.
– It provides Customized Training Programs tailored to meet the specific learning needs of each student.
– Their unique Destination Training initiative facilitates immersive learning experiences.
– Affordable Pricing options make training accessible to a wider audience.
– Top Training Institute with a reputation for high standard educational services.
– Offers Flexible Dates for courses, providing more convenience for the students.
– Provides Instructor-Led Online Training that facilitates interactive learning sessions.
– A Wide Range of Courses are available at the institution, allowing learners to choose based on their needs.
– Accredited Training ensures that the education you receive is recognized and respected globally.

Data Engineering on Microsoft Azure Skills Measured

After completing the Course: Data Engineering on Microsoft Azure certification training, an individual will gain skills such as managing and developing data processing, implementing data storage solutions, and monitoring and optimizing data solutions. They will also gain proficiency in deploying Azure data factory, designing batch data processing solutions, and implementing Azure Synapse Analytics. The individual will also be able to maintain and troubleshoot Azure data solutions, ensuring an efficient data infrastructure on Microsoft Azure platform.

Top Companies Hiring: Data Engineering on Microsoft Azure Certified Professionals

Top companies like Microsoft, Amazon, IBM, Cognizant, Capgemini, and Accenture are keen to hire  Data Engineering on Microsoft Azure certified professionals. These professionals assist in managing and optimizing data engineering tasks and big data environments on the Microsoft Azure cloud platform.

Learning Objectives – What you will Learn in this Course: Data Engineering on Microsoft Azure Course?

The learning objectives of the Course: Data Engineering on Microsoft Azure course aim to equip students with the necessary skills to implement data storage solutions, provision compute resources, and design for data security and compliance. Participants will be able to manage and develop data processing, monitor and optimize data solutions, and design Azure data storage solutions. Additionally, students will learn to implement data security and privacy, manage and troubleshoot Azure data solutions, and design and implement data processing workloads on Azure. This course aims to provide comprehensive knowledge on data engineering principles and practices on the Azure platform.

 

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34,999.00

What's included

  • 24 hours Support video
  • Certificate
  • Watch Offline
  • Lifetime access

Audience

  • Data professionals and business intelligence professionals who aim to enhance their data engineering skills.
  • IT professionals looking to gain knowledge about implementing data solutions on Microsoft Azure.
  • Individuals interested in taking the Microsoft Certified: Azure Data Engineer Associate exam.
  • IT specialists planning to work on the structural design and development of the Azure data platform.

What Will I Learn?

  • The learning objectives of the Course: Data Engineering on Microsoft Azure course aim to equip students with the necessary skills to implement data storage solutions, provision compute resources, and design for data security and compliance. Participants will be able to manage and develop data processing, monitor and optimize data solutions, and design Azure data storage solutions. Additionally, students will learn to implement data security and privacy, manage and troubleshoot Azure data solutions, and design and implement data processing workloads on Azure. This course aims to provide comprehensive knowledge on data engineering principles and practices on the Azure platform.

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