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Discover the power of Azure Data Factory with Kloud Academy’s DP-203 training. In this comprehensive course, learn to orchestrate and automate data workflows, integrating diverse data sources, transforming data, and deploying solutions at scale. Gain the skills needed to create efficient data pipelines and leverage Azure services effectively. Empower your data-driven decisions and enhance your data engineering expertise through hands-on exercises and real-world scenarios.
Enroll in our instructor-led Azure Data Factory Training and Certification (DP-203) Course with Live online sessions.
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Microsoft, Deloitte, Capgemini, TCS, IBM, Wipro, Cognizant, PwC, Ernst & Young, KPMG and many other industry leaders worldwide use Data engineering for their cloud computing needs
With the increasing adoption of cloud technology by businesses in India, there is a rising demand for skilled Azure Data Engineers, resulting in a favorable job outlook for professionals in this field.
As per industry surveys, the average annual salary for an Azure Data Engineer in India ranges from INR 6,00,000 to INR 15,00,000.
Unlock the potential of Azure Data Factory with Kloud Academy’s DP-203 training and elevate your career as an Azure Data Engineer. Master data integration, orchestration, and transformation skills with hands-on projects and expert guidance. Earn your certification to validate your expertise and open doors to lucrative opportunities in the rapidly growing field of data engineering. Boost your career prospects and become a sought-after professional in the data-driven world.
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Master Azure Data Engineering with our expertly crafted Certification Course.
Azure Data Factory (ADF) is a Microsoft cloud-based data integration service. As an Azure Data Engineer, DP-203 certification validates your expertise in designing, deploying, monitoring, and managing data integration solutions using ADF. ADF allows you to create data pipelines to ingest, transform, and load data from various sources to different destinations efficiently.
Azure Data Factory skills encompass the ability to design and manage data integration workflows, connecting data from diverse sources and destinations. As an Azure Data Engineer, proficiency in Azure Data Factory is crucial for efficiently orchestrating data pipelines, including seamless integration with Azure Data Lake. These skills empower data professionals to handle data movement, transformation, and processing effectively, facilitating data-driven decision-making and advanced analytics using Azure Data Lake’s capabilities.
The Azure Data Factory training course offered by Kloud Course Academy is ideal for aspiring Azure Data Engineers, as well as professionals working with Azure Data Lake and seeking to enhance their data integration skills.
To take the Azure Data Factory online course, you need a computer/laptop with internet access, a compatible web browser, and a display resolution of 1280×720 or higher.
To perform practical exercises for the Azure Data Factory certification course at Kloud Course Academy, you will have access to a hands-on lab environment provided by the academy, where you can apply the concepts learned in the course and gain practical experience with Azure Data Factory.
Acquire valuable experience in Azure Data Engineering with our advanced Training and Certification Real-Time Projects.
Microsoft offers a cloud-based data integration service called Azure Data Factory. It is used to create, schedule, and orchestrate data pipelines that move and transform data from various sources to different destinations in the Azure cloud environment.
To learn Azure Data Factory, aspiring Azure Data Engineers should have a basic understanding of cloud computing concepts and data integration, and familiarity with Azure Data Lake and related technologies. DP-203 certification training can provide the necessary knowledge to master Azure Data Factory’s capabilities and effectively manage data workflows in the cloud environment.
Designing and implementing data storage solutions
Designing and developing data processing solutions
Creating and enforcing data security and compliance
Monitoring and optimizing data storage and data processing
Designing and implementing data integration solutions
The Azure Data Factory Training for DP-203 will offer two options for self-paced learning: instructor-led online classroom training and videos from Kloud Course Academy. Self-Paced Training costs $316 when IGST (18%) is added.
The duration of the Azure Data Factory exam (DP-203) is 150 minutes (2 hours and 30 minutes).
To pass the Azure Data Factory exam (DP-203), candidates need to achieve a minimum passing score of 700 out of 1000 points.
It’s important to note that the passing score is subject to be adjusted by Microsoft periodically.
The Azure Data Factory exam (DP-203) is offered in multiple languages, including English, Japanese, Chinese (Simplified), and Korean.
Azure Data Factory primarily uses a graphical user interface (GUI) for data pipeline design and orchestration. Additionally, it supports Azure Data Factory Mapping Data Flow, which allows users to visually design and execute complex data transformations using a low-code approach with data flow expressions and transformations. PowerShell, Python, REST, and. NET are all supported languages.
This test evaluates your ability to carry out the following technical tasks:
The Azure Data Factory (DP 203) exam retake policy allows candidates to retake the exam after waiting for 24 hours from their last attempt. If a candidate fails the exam on the first attempt, they must wait for 24 hours before scheduling a retake. If they fail on the second attempt, they must wait for 14 days before retaking the exam. After the third unsuccessful attempt, there is a 14-day waiting period for each subsequent attempt.
In some cases, Microsoft may need to review the exam results further before providing a final score, which can delay the release of your results.
To renew the Azure Data Factory certification as an Azure Data Engineer, you need to pass the most current version of the certification exam (DP-203) before your certification expiration date.
Yes, pursuing a career in Azure Data Engineering can be a good option as it offers promising job opportunities and growth prospects in the cloud computing industry, especially with the specialized skills gained through DP 203 Training.
Beginners can learn Azure Data Factory through Kloud Course Academy, which offers comprehensive online training. Start by understanding cloud computing concepts, then explore data integration and transformation. Learn how to create data pipelines, including integration with Azure Data Lake. The academy’s hands-on courses provide practical experience, helping beginners gain expertise in managing data workflows effectively.
The value of Azure Data Factory certification lies in its recognition as a valid proof of your expertise in designing, deploying, and managing data integration solutions using Azure Data Factory. It enhances your credibility as a skilled professional in the field of data engineering and increases your chances of securing job opportunities and career advancement in the data-driven industry.
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Explore our FAQs to learn more about our Azure Data Engineering Training and Certification Program.
With Azure Data Factory skills, you can explore various career options in the data engineering and data integration domain. Some potential career paths include:
There is no specific minimum educational level required to become an Azure Data Factory professional, as it is primarily a skill-based role. However, a strong foundation in computer science, data engineering, or related fields can be beneficial for effectively mastering Azure Data Factory’s capabilities.
The average price of Azure Data Factory certification exams typically ranges from $99 to $165 USD, depending on the specific certification and the country in which the exam is taken.
The difficulty level of Azure Data Factory varies based on the complexity of data integration tasks and the scope of projects an Azure Data Engineer handles, such as connecting diverse data sources to Azure Data Lake, which can range from straightforward to more advanced, requiring expertise in data transformation and orchestrating complex data pipelines.
Kloud Course academy makes it difficult for students to clear up in an easy way.
Azure Data Factory does not require coding for basic data integration and pipeline creation; it provides a graphical user interface (GUI) for easy configuration. However, for advanced data transformations, some low-code techniques may be used through Azure Data Factory Mapping Data Flow.
The entry requirements for this Azure Data Factory course may include basic computer skills and a fundamental understanding of cloud computing concepts. No coding experience is typically required for introductory courses. For more advanced courses, some familiarity with data integration or ETL processes may be beneficial.
To be an Azure Data Factory professional, you need the following key skills:
By mastering these skills, you can become a competent Azure Data Factory professional, efficiently managing data integration and transforming tasks in the Azure Data Lake environment as an Azure Data Engineer.
Completing the Azure Data Factory course can enhance the job prospects for a new graduate seeking roles as an Azure Data Engineer, as it provides valuable skills in data integration and pipeline management sought after by employers in the data-driven industry.
The time required to become proficient in Azure Data Factory depends on individual learning pace and prior experience, but with dedicated effort, one can gain a foundational understanding in a few weeks or months. Becoming an expert may take longer, depending on the depth of knowledge and practical experience desired.
Taking the Microsoft Azure Data Factory certificate course is beneficial as it validates your expertise in designing, deploying, and managing data integration solutions using Azure Data Factory, enhancing your credibility and job opportunities as a skilled data professional.
The Azure Data Factory (DP-203) Certification is a Microsoft certification that validates the skills and knowledge of data engineers in designing, deploying, monitoring, and managing data integration solutions using Azure Data Factory, Microsoft’s cloud-based data integration service.
salary for an Azure Data Factory certified professional in certain countries as:
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