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Data Engineering using Azure certification training course is curated by top industry experts to help you clear the official Microsoft Azure Data Engineering Exam: DP-203. This course will help you master key concepts such as designing and implementing data storage, designing and developing data processing pipelines, implementing data security, data factory, and many more. Elevate your skills by completing industry use cases, hands-on, practical assignments, scenario based exam dumps, simulation exams, and industry specific capstone projects. Enroll now and let our course be the catalyst for your success!
Azure Data Engineering Certification Course is the best choice for learners seeking to design, implement, monitor, and optimize high-performing and reliable data pipelines and data stores on the Microsoft Azure platform. With experienced instructors, real-world case studies, and flexible learning options, this course provides learners with practical skills and knowledge for identifying and troubleshooting operational and data quality issues. The key features of this course include:
The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. Azure data engineering is one of the most sought-after and fastest-growing technologies in the market today. As per Microsoft, 95% of Fortune 500 firms use Azure cloud services, and as a result, there is an increasing need for Microsoft-certified experts who can use Azure and manage massive volumes of data. The best way to land you a good job with a handsome salary in this domain is to get an Azure Data Engineer Certification.
You don't need to possess any predefined skills or expertise to enroll in this course. However, any prior knowledge of Linux, Python, SQL, and Scala would be appreciated.
Learning an Azure Data Engineering Certification Course can provide several benefits, such as:
Our Azure Data Engineering Certification Course is designed as per industry standards and help learners in designing, implementing, and maintaining secure and compliant data processing pipelines using Azure data services and frameworks. The exam assesses the candidate's ability to integrate, transform, and consolidate data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.
Candidates are expected to be proficient in using Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks to create data processing solutions. The exam also tests the candidate's ability to design, implement, monitor, and optimize data platforms to meet the data pipelines, ensuring that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. Additionally, candidates should be able to troubleshoot operational and data quality issues and design data stores with different architecture patterns based on business requirements.
Certified Azure Data Engineers ideally possesses the following skills:
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According to Data Bridge Research, the market for big data and data engineering services is predicted to increase at a CAGR of 24.13% from 2022 to 2029.