In this course, 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 Microsoft Azure. They will explore the roles, tasks, and responsibilities in the world of data. The students will explore 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 explore the processing options available for building data analytics solutions in Azure. They 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.

  Training schedule for "Microsoft Azure Data Fundamentals - Course DP-900T00-A Course"

May
2024
22
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241431
770 €
May
2024
26
Sun
One to One - Online
09:00-17:00 (EST)
AT6492V241471
770 €
May
2024
29
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241501
770 €
June
2024
1
Sat
One to One - Online
09:00-17:00 (EST)
AT6492V241531
770 €
June
2024
5
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241571
770 €
710 €
Early bird discount
June
2024
9
Sun
One to One - Online
09:00-17:00 (EST)
AT6492V241611
770 €
710 €
Early bird discount
June
2024
12
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241641
770 €
710 €
Early bird discount
June
2024
15
Sat
One to One - Online
09:00-17:00 (EST)
AT6492V241671
770 €
710 €
Early bird discount
June
2024
19
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241711
770 €
710 €
Early bird discount
June
2024
23
Sun
One to One - Online
09:00-17:00 (EST)
AT6492V241751
770 €
710 €
Early bird discount
June
2024
26
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241781
770 €
710 €
Early bird discount
June
2024
29
Sat
One to One - Online
09:00-17:00 (EST)
AT6492V241811
770 €
710 €
Early bird discount
July
2024
3
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241851
770 €
710 €
Early bird discount
July
2024
7
Sun
One to One - Online
09:00-17:00 (EST)
AT6492V241891
770 €
710 €
Early bird discount
July
2024
10
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241921
770 €
710 €
Early bird discount
July
2024
13
Sat
One to One - Online
09:00-17:00 (EST)
AT6492V241951
770 €
710 €
Early bird discount
July
2024
17
Wed
One to One - Online
09:00-17:00 (EST)
AT6492V241991
770 €
710 €
Early bird discount

Who Should Attend

  • 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.

Course Content

  • Module 1: Explore core data concepts
  • Module 2: Explore relational data in Azure
  • Module 3: Explore non-relational data in Azure
  • Module 4: Explore modern data warehouse analytics in Azure

Frequently Asked Questions

"Microsoft Azure Data Fundamentals - Course DP-900T00-A Course" trainings are given in ("Group - One to one") two different  ways.
The one-to-one tuition fee is 710 €.

"Microsoft Azure Data Fundamentals - Course DP-900T00-A Course" trainings are given in two different ways.

The tuition fee as a group is 810 €. To create a group, you must be at least  3 people.
The one-to-one tuition fee is 710 €.

Our "Microsoft Azure Data Fundamentals - Course DP-900T00-A Course" trainings are one-to-one 1 days,

Our "Microsoft Azure Data Fundamentals - Course DP-900T00-A Course" trainings are group 1 days,
 

 

Exam & Certification

Participation Certificate

All trainees who participate in training will have an AcademyTech participation certificate.

Exam & Certification

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