DP-200 Implementing an Azure Data Solution
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

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Course Outcomes
The students will explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.
Audience Profile
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
Prerequisites
Knowledge of the fundamentals of Microsoft Azure.
Course Type
Virtual, instructor-led training – 3 days – 24 hours in total.
Price
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$2,550.00
+VAT
Exam Voucher Included
Group Registration Discount
Applies to courses that are not already discounted
If you are looking to train several team members on the same course, we offer a discount for group registrations:
10% off for 5 to 9 seats
15% off for 10 seats or more
Contact training@365talentportal.com to register several attendees at the same time.
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→ Optimal group size
→ Lab support and help
Private Session for Your Team
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→ Delivery at your site or virtually
→ Personalized delivery style
→ Pick the dates you want
DP-200 Implementing an Azure Data Solution
Agenda Overview
Module 1 – Azure for the Data Engineer
Module 2 – Working With Data Storage
Module 3 – Enabling Team Based Data Science With Azure Databricks
Module 4 – Building Globally Distributed Databases With Cosmos DB
Module 5 – Working with Relational Data Stores in the Cloud
Module 6 – Performing Real-Time Analytics With Stream Analytics
Module 7 – Orchestrating Data Movement With Azure Data Factory
Module 8 – Securing Azure Data Platforms
Module 9 – Monitoring and Troubleshooting Data Storage and Processing
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