Microsoft Azure Data Fundamentals (DP-900T00-A)

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.

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.

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

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

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.
• Access to the standalone exercise environment Microsoft Labs Online (MLO) for an additional fee.

Koolitaja:
Henn Sarv
Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.

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:

• free parking;
• lunch;
• hot drinks with cookies;
• fresh fruits.

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