Microsoft Azure Data Fundamentals (DP-900)
Volg de DP-900 training Microsoft Azure Data Fundamentals. In deze training leer je de basisprincipes van databaseconcepten in een cloudomgeving, krijg je basisvaardigheden in clouddataservices en bouw je aan fundamentele kennis van clouddataservices op binnen Microsoft Azure.
Na afronding van deze training kun je onder andere:
Training: Microsoft Azure Data Fundamentals (DP-900)
Participants will gain a solid understanding of database concepts within a cloud environment, receive introductory training in cloud data services, and develop their foundational knowledge of cloud data services in Microsoft Azure. The curriculum covers core data concepts, including relational, non relational, big data, and analytics, and provides insights into how this technology is implemented in Microsoft Azure. The course will also cover various roles, and responsibilities in the data industry.
The program will explore relational data offerings, including the provisioning and deployment of relational databases, and querying relational data using cloud data solutions in Microsoft Azure. Non-relational data offerings will also be examined, including the provisioning and deployment of non-relational databases and non-relational data stores using Microsoft Azure.
The course will provide an overview of the available processing options for building data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Additionally, participants will learn about Power BI, its building blocks, and how they work together.
- 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
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.
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.
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.
Lessons
- Explore core data concepts
- Explore roles and responsiblities in the world of data
- Describe concepts of relational data
- Explore concepts of non-relational data
- Explore concepts of data analytics
After completing this module, students will 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
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.
Lessons
- Explore relational data services in Azure
- Explore provisioning and deploying relational database services in Azure
- Query relational data in Azure
After completing this module, students will be able to:
- Describe relational data services on Azure
- Explain provisioning and deploying relational databases on Azure
- Query relational data through cloud data solutions in 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.
Lessons
- Explore non-relational data services in Azure
- Explore provisioning and deploying non-relational data services on Azure
- Manage non-relational data stores in Azure
After completing this module, students will be able to:
- Describe non-relational data services on Azure
- Explain provisioning and deploying non-relational databases on Azure
- Decribe non-relational data stores on 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.
Lessons
- Examine components of a modern data warehouse
- Explore data ingestion in Azure
- Explore data storage and processing in Azure
- Get started building with Power BI
After completing this module, students will be able to:
- 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
In de klas, online of beiden.
Active Learning
Je maakt samen met je trainer een plan en gaat actief aan de slag. In een kleine klas verdiepen in wat je echt nodig hebt, inzoomen op zaken die je echt interesseren en overslaan wat je al weet of niet nodig hebt. Plan je lesdagen flexibel, neem real-life casussen mee en werk ze uit met je trainer. Verrijk je kennis en verbind het met alles wat je al wist.
E-Learning
Ben je op zoek naar volledige zelfstudie? Wij bieden je de mogelijkheid om jouw training volledig in jouw eigen tijd te volgen. Uiteraard met het officiële lesmateriaal waarmee je de juiste kennis opdoet.
Wil je toch graag een dag persoonlijke begeleiding? Dan kan je altijd een extra lesdag bij boeken en de training als blended learning volgen!
Incompany
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Je bespaart reiskosten en reistijd voor de deelnemers, doordat onze trainer bij jou op locatie komt. Op deze manier kun je meerdere deelnemers van jouw organisatie dezelfde training laten volgen. Dat is efficiënt en effectief! Samen heb je een gemeenschappelijke opleidingsbehoefte en daar gaan we je bij helpen.
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