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MS-55247 Designing and Implementing Cloud Data Platform Solutions (MS-55247)

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In this course, learners will be acquainted with disaster recovery, security, monitoring, and availability.

Virtual

Learning Style

Microsoft

Provider

Intermediate

Difficulty

3 Days

Course Duration

Course Info

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In this course, learners will be acquainted with disaster recovery, security, monitoring, and availability.

Course Information

About this course:

The course of Designing and Implementing Cloud Data Platform Solutions -- MS-55247 is intended for specialists who are hoping to utilize the SQL server and also MS Azure for the deployment of database solutions.

In this course, learners will be acquainted with disaster recovery, security, monitoring, and availability.

Course Objective:

  • MS Azure Data Solutions
  • Security Solutions for cloud databases
  • SQL server
  • Options of Disaster Scalability and Recovery configuration for databases.
  • Plan and Implement Hybrid SQL Server solutions
  • Design and apply Azure SQL Database solutions
  • Implement a High-Availability Solution
  • Implement a Disaster Recovery Solution
  • Implement a Scalability Solution
  • Design and execute PostgreSQL and MySQL database solutions in Azure.
  • Manage and Troubleshoot SQL Server VMs on Azure
  • Configure a High-Availability solution
  • Configure a Disaster Recovery Solution
  • Configure a Scalability Solution
  • Monitor and Troubleshoot Azure SQL Databases.

Audience:

The course is made for the professionals of data who have involvement with making and applying MS Azure data solutions.

Prerequisite:

Ought to have working involvement in databases.

Should understand the way to utilize SQL.

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More Information
Brand Microsoft
Subjects Cloud Computing, IT Ops & Management
Lab Access Yes
Technology Microsoft
Learning Style Virtual Classroom
Learning Type Course
Difficulty Intermediate
Course Duration 3 Days
Language English
VPA Discount VPA Discount

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39%
  • Virtual Classroom
  • 1 Day
$995.00
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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