The main purpose of this course is to teach the fundamentals of database concepts in a cloud environment, basic skills in cloud data services, and build foundational knowledge of cloud data services within Microsoft Azure.

During this one-day course students will  identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will also explore the roles, tasks, and responsibilities in the world of data. The students will review relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will study the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. In addition students will learn what Power BI is, including its building blocks and how they work together.

Target audience:

The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.

Job role: Data Engineer, Database Administrator

Preparation for exam: DP-900

Features: none

 

After completing this course, students will be able to:

• Describe core data concepts in Azure
• Explain concepts of relational data in Azure
• Explain concepts of non-relational data in Azure
• Identify components of a modern data warehouse in Azure

 

Prerequisites to the course (recommended):

Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.

Specifically:

• Experience using a web browser, such as Microsoft Edge.
• Familiarity with basic data-related concepts, such as working with tables of data in a spreadsheet and visualizing data using charts.
• A willingness to learn through hands-on exploration.

 

Training Principles:

The training is held in Estonian!

Each learning module is supported by practical exercises with hands-on laboratories.

The prerequisite for issuing the certificate is full participation in training.

Length: 8 academic hours

 

Koolituse läbiviimise põhimõtted:

Koolitus toimub eesti keeles!

Koolituse osad on toetatud praktiliste harjutustega õpilaborites.

Tunnistuse väljastamise eelduseks on koolitusel osalemine terves mahus.

Maht: 8 akadeemilist tundi

 

Continuing Education Curriculum Group: 0688 Information and Communication Technology Interdisciplinary curriculum group

 

The training topics and description:

Module 1: Explore core data concepts

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.

Module 2: Explore relational data in Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.

Module 3: Explore non-relational data in Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.

Module 4: Explore modern data warehouse analytics in Azure

Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.

More detailed information about the training/ Täpsemat infot koolituse kohta saad:

https://docs.microsoft.com/en-us/learn/certifications/courses/dp-900t00

 

The training price also includes:

• study materials;
• a trainer's consultation on the topics learned, by e-mail after the training;
• certificate.

As an added value, we offer:

• hot drinks with cookies;
• fresh fruits.

IT training is a cooperation partner of the Estonian Unemployment Insurance Fund's training card.

We also recommend that you get acquainted with the in-service training grants offered by the Unemployment Insurance Fund to employers: the training allowance for employers and the reimbursement of the employee's training expenses to the employer.

See you at training!