Data Engineer

The Data Engineer is responsible for the proper functioning of information storage platforms, including databases. This role designs adequate storage space based on an in-depth analysis of business needs.

The maintenance, security, as well as the ongoing administration and improvement of storage systems are also part of the responsibilities of the data engineer.

The trainings below aim in particular to:

  • Introduce the principles and concepts used to successfully start a cloud storage infrastructure;
  • Develop knowledge of cloud computing technologies applicable to information processing;
  • Integrate data into Azure solutions, such as Synapse, Stream, Spark and many others;
  • Plan information storage using data virtualization (Software-Defined storage and Software-Defined Datacenter).

Possible certification following the completion of your training:

  • Microsoft Certified
In this Microsoft course, you will learn how dedicated SQL pools and Spark pools work. You will also explore ELT processes with Synapse pipelines with the goal of moving databases to Synapse.
In this Microsoft course, you will learn how to use Azure Cosmos DB for NonSQL API and SDK.
This course demonstrates to participants the means of continuously maintaining databases, including using security, compliance and performance techniques. It is preparatory to the DS0-001 exam.
This one-day Microsoft training provides preparation for the DP-900: Microsoft Azure Data Fundamentals exam to earn the Microsoft Certified: Azure Data Fundamentals certification.
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This four-day Microsoft training provides preparation for the DP-300: Administering Microsoft Azure SQL Solutions exam to earn the Microsoft Certified: Azure Database Administrator Associate certification.
This four-day Microsoft training provides preparation for the DP-203: Data Engineering on Microsoft Azure exam to earn the Microsoft Certified: Azure Data Engineer Associate certification.