Azure Data Lake Storage Gen2 and Data Streaming Solution
This course provides an overview of Azure Data Lake Storage Gen2 and how it can be used to efficiently process Big Data analytical solutions. It covers topics such as common architectures, data security, event processing, streaming data, and setting up and managing a stream analytics job. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
What does this course tell?
(Please note that the following overview content is from the original platform)
In this course, you will see how Azure Data Lake Storage can make processing Big Data analytical solutions more efficient and how easy it is to set up. You will also explore how it fits into common architectures, as well as the different methods of uploading the data to the data store. You will examine the myriad of security features that will ensure your data is secure. Learn the concepts of event processing and streaming data and how this applies to Azure Stream Analytics. You will then set up a stream analytics job to stream data, and learn how to manage and monitor a running job.
This course is part of a Specialization intended for Data engineers and developers who want to demonstrate their expertise in designing and implementing data solutions that use Microsoft Azure data services for anyone interested in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). You will take a practice exam that covers key skills measured by the certification exam.
This is the ninth course in a program of 10 courses to help prepare you to take the exam so that you can have expertise in designing and implementing data solutions that use Microsoft Azure data services. The Data Engineering on Microsoft Azure exam is an opportunity to prove knowledge expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions that use Microsoft Azure data services. Each course teaches you the concepts and skills that are measured by the exam.
By the end of this Specialization, you will be ready to take and sign-up for the Exam DP-203: Data Engineering on Microsoft Azure (beta).What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide learners with the skills and knowledge necessary to design and implement data solutions that use Microsoft Azure data services. Learners will gain an understanding of Azure Data Lake Storage, event processing, streaming data, and Azure Stream Analytics. They will also gain practice in preparing for the Exam DP-203: Data Engineering on Microsoft Azure (beta). Additionally, learners will gain the skills and knowledge necessary to pursue a career in data engineering, data science, or software engineering, as well as further education in these fields.
How does this course contribute to professional growth?
This course contributes to professional growth by providing learners with the knowledge and skills necessary to design and implement data solutions that use Microsoft Azure data services. It covers the concepts of Azure Data Lake Storage, event processing, streaming data, and Azure Stream Analytics. Additionally, it provides practice exams to help prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta). By completing this course, learners can gain the skills necessary to pursue a career in data engineering, data science, or software engineering, as well as further education in these fields.
Is this course suitable for preparing further education?
This course is suitable for preparing further education in data engineering, data science, or software engineering. It covers the concepts of Azure Data Lake Storage, event processing, streaming data, and Azure Stream Analytics, and provides practice exams to help prepare for the Exam DP-203: Data Engineering on Microsoft Azure (beta). Learners should consider taking courses related to data engineering, data science, or software engineering, as well as courses related to Azure Data Lake Storage, event processing, streaming data, and Azure Stream Analytics.
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