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Implementing an Azure Data Solution (DP-200.1)

This course is designed to teach students how to implement different data platform technologies as solutions while also ensuring that they are in accordance with the business and technical needs.

Self-Paced

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Microsoft

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Intermediate

Difficulty

16 Hours

Course Duration

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This course is designed to teach students how to implement different data platform technologies as solutions while also ensuring that they are in accordance with the business and technical needs.

Course Information

This course prepares you for the DP-200 Exam leading to DP-200 Certification. This course does not include the Official Exam Voucher, however, you can request to purchase the Official Exam Voucher separately.

About this course:

This course is designed to teach students how to implement different data platform technologies as solutions while also ensuring that they are in accordance with the business and technical needs.  These would include on-premises, cloud  and hybrid data scenarios while  incorporating both relational and No-SQL data.  Participants will also be taught how to process data using an array of multiple techniques and different languages for streaming and batch data.

Moreover, participants will also be taught the basics of data security and effectively implementing it through the techniques of authentication, authorization and in accordance with the data policies and data standards. For both the data storage and data processing activities, the participants will also be trained to define and implement data solution monitoring . Additionally, this course will impart skills needed to manage and troubleshoot Azure data solutions such as includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.

Audience:

This course is designed to cater to the following audience;

  • Programmers and developers

Prerequisites:

The following pre requisites are absolutely necessary for taking this course.

  • Significant professional experience in relevant field
  • Have completed the course on Azure fundamentals or have working technical knowledge of Azure fundamentals which can be considered equivalent to the aforementioned course.

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Brand Microsoft
Subjects Big Data
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Certification
Difficulty Intermediate
Course Duration 16 Hours
Language English

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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