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DP-201T01: Designing an Azure Data Solution

Overview

Designing an Azure Data Solution training course is designed for the Azure data engineers who are responsible for data related tasks that include ingesting, egressing, and transforming data from multiple sources using various services and tools. In this course, you will learn how to identify and meet data requirements while designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure services to satisfy business needs.

This course prepares you for Exam DP-201. Download Course Contents Test your current knowledge Qubits
Schedule & Prices
Course Details Schedule
Live Online Training (Instructor-Led)
Duration : 2 Days (4 Day for 4 Hours/Day)
Fee : USD 1,200 (1-on-1)†



April

8 Hours/Day
4 Hours/Day
20-21
27-28
20-23
27-30
May

8 Hours/Day
4 Hours/Day
26-27
26-29
June

8 Hours/Day
4 Hours/Day
01-02
02-03
08-09
09-10
16-17
01-04
02-05
08-11
09-12
16-19
Fly-Me-a-Trainer
Duration : 2 Days
Fee : On Request
Client's Location
As per mutual convenience
Classroom Training*
Duration : 2 Days
Fee : Sydney : USD 1,800 London : USD 1,700 Dubai : USD 2,100 India : USD 1,500
April
20-23 (Bangalore) (Venue)
20-21 (Chennai) (Venue)
20-21 (Delhi) (Venue)
27-30 (London) (Venue)
May
26-29 (Bangalore) (Venue)
26-27 (Chennai) (Venue)
26-27 (Delhi) (Venue)
June
01-04 (Delhi) (Venue)
02-05 (London) (Venue)
08-11 (Bangalore) (Venue)
08-09 (London) (Venue)
09-12 (Bangalore) (Venue)
09-10 (Chennai) (Venue)
09-10 (Delhi) (Venue)
16-19 (London) (Venue)

Enquire Now




Input symbols

  • Design an Azure Data solution
  • Design Azure Cloud data warehouses
  • Design No-SQL Databases
  • Design Azure SQL Database
  • Design hybrid data scenarios
  • Design batch processing solutions
  • Design big data real-time processing solutions
  • Design integration solutions
  • Design source data access security
  • Design security for data policies and standards
  • Design a data retention policy
  • Design for Optimization
  • Design and implement a disaster recovery strategy
  • Design for High Availability
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