CODE: MCS_DP9FPL300
LENGTH: 32 Hours (4 dage)
PRICE: kr 12.995,00
With this bundle, you will acquire basic knowledge of cloud data services, central data
concepts and the associated Microsoft Azure data services such as relational, non-relational, big data and big data analytics. In addition, you will acquire the necessary know-how to become a “Microsoft Certified: Power BI Data Analyst Associate”.
Benefit from two courses and pay for only one at 45% discount.
You will start with the 1-day fundamentals webinar:
“DP-900T00: Microsoft Azure Data Fundamentals”
This webinar provides foundational knowledge of core data concepts and related Microsoft Azure data services.
After attending the fundamentals webinar your learning journey will continue with:
The official 3-days virtual classroom “PL-300T00: Microsoft Power BI Data Analyst”
Please click the link below to review the schedule and outlines of this official Microsoft course.
PL 300T00: Microsoft Power BI Data Analyst
Opportunity to become certified:
This bundle also includes an exam voucher worth £113, which you can use to take the exam to become a "Microsoft Certified: Power BI Data Analyst Associate".
Please indicate your preferred date for the second course "PL-300T00: Microsoft Power BI Data Analyst" in the comments field of the shopping cart for this bundle.
The following outlines and timetable represent the content as well as the planning of the one-day fundamental webinar.
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
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:
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
After completing this module, students will be able to:
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
After completing this module, students will be able to:
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
After completing this module, students will be able to:
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
After completing this module, students will be able to: