Dutch
English
-
DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) (EN)
-
Are you interested in the fundemental concepts related to Data, and Microsoft Azure services that can be used to create Data solutions? Then this training is for you!
Training codeCGADP900MESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.Book DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) (EN) now
In group training, we use several learning methods to help you obtain the knowledge, give you helpful insights and get you inspired. Check the Spoken language and Language materials on the left for language info.
DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) (EN)
10
8.5
0
2 reviewsWhat is DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC)
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.
Who should attend DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC)
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.
Prerequisites
Familiarity with computers and using a web browser.
Objectives
After this course you'll be able to:
- Show foundational knowledge of cloud data services within Azure
- Identify and describe core data concepts such as relational, non-relational, big data, and analytics
- Explain how this technology is implemented with Azure
- Describe relational data offerings on Azure
- Explain provisioning and deploying relational databases on Azure
- Query relational data through cloud data solutions in Azure
- Describe non-relational data offerings on Azure
- Explain provisioning and deploying non-relational databases on Azure
- Decribe non-relational data stores on Azure
- Describe processing options available for building data analytics solutions in Azure
- Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- Explain what Microsoft Power BI is, including its building blocks and how they work together
Exam information
Exam Information:
- Exam duration (minutes): 60 mins
- Exam style: Multiple Choice
- Open Book: No
Exam guarantee:
We have full confidence in the quality of our training. Therefore, if you take this training in our open schedule, we offer an exam guarantee. This means that you can retake the training for free, and you'll receive a complimentary exam voucher if you don't pass the exam on your first attempt.
The following conditions apply:- You attended the entire training.
- You took the first exam within 2 months after the training.
- There is a maximum of 1 year between your initial training and the free training.
Are you interested in the fundemental concepts related to Data, and Microsoft Azure services that can be used to create Data solutions? Then this training is for you!
Training codeCGADP900MESpoken LanguageEnglishLanguage MaterialsEnglishDayparts2Price€800,00excl. VAT No extra costs.With an Incompany training you have several advantages:
- You choose the location
- You experience the training with your colleagues, so it is always in line with your practice
- The trainer can tailor explanations, examples and assignments to your organization
- In consultation exercises can be adapted to organization-specific questions
Request more information or a quote.DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC) (EN)
10
8.5
0
2 reviewsWhat is DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC)
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.
Who should attend DP-900: Microsoft Azure Data Fundamentals (DP-900T00-AC)
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.
Prerequisites
Familiarity with computers and using a web browser.
Objectives
After this course you'll be able to:
- Show foundational knowledge of cloud data services within Azure
- Identify and describe core data concepts such as relational, non-relational, big data, and analytics
- Explain how this technology is implemented with Azure
- Describe relational data offerings on Azure
- Explain provisioning and deploying relational databases on Azure
- Query relational data through cloud data solutions in Azure
- Describe non-relational data offerings on Azure
- Explain provisioning and deploying non-relational databases on Azure
- Decribe non-relational data stores on Azure
- Describe processing options available for building data analytics solutions in Azure
- Describe Azure Synapse Analytics, Azure Databricks, and Azure HDInsight
- Explain what Microsoft Power BI is, including its building blocks and how they work together
Exam information
Exam Information:
- Exam duration (minutes): 60 mins
- Exam style: Multiple Choice
- Open Book: No
Exam guarantee:
We have full confidence in the quality of our training. Therefore, if you take this training in our open schedule, we offer an exam guarantee. This means that you can retake the training for free, and you'll receive a complimentary exam voucher if you don't pass the exam on your first attempt.
The following conditions apply:- You attended the entire training.
- You took the first exam within 2 months after the training.
- There is a maximum of 1 year between your initial training and the free training.
-
Brochure
Related
e-CF competences with this course
At Capgemini Academy we believe in transparency and clarity in the training landscape. That is why, in the table below, we show you to which e-CF competence this training or certification contributes. For more information about how to use the e-Competence Framework read more here. If you want to know how you can apply the e-CF within your organization, read more on this page.
| e-Competence Level | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| C.5.Systems Management | |||||
| A.5.Architecture Design | |||||
| B.2.Component Integration |