Implementing an Azure Data Solution

Implementing an Azure Data Solution

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Data science is a method for gathering insights from structured and unstructured data using approaches, ranging from statistical analysis to machine learning. For most organizations, data science is used to transform data into value that comes in the form of increased revenue, reduced costs, product development, trend analysis and more.

Its techniques include data mining, big data analysis, data extraction and data retrieval. Additionally, data science concepts and processes are derived from data engineering, statistics, programming, social engineering, data warehousing, machine learning and natural language processing.

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.


Course Overview
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. The students will also 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.


Duration: 24 hours
Schedule: The schedule will be available after 10 December 2020.
The starting date will be not earlier than 11 January 2021.


Audience
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:

Instructor
Marcin Szeliga

Marcin Szeliga

Marcin is a Machine Learning and Data Science trainer with more than 10 years of experience in the field. He trained students in different universities and academies both in Poland and abroad.

Since 2010 till now, he trained over 1000 students. Subject taught:
  • Microsoft Data Platform
  • Azure
  • Machine Learning
  • Business Intelligence
  • Data science
  • Artificial Intelligence

He is an author of more than 100 articles about Machine Learning, AI, and Microsoft Data Platform published by IT Professional (http://www.it-professional.pl/).

Also, he is a member of associations like:
  • Data Community Poland
  • Polish Information Processing Society

Exam: DP-900: Microsoft Azure Data Fundamentals


The trainings and the certification exams are completely free of charge for the participants.

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