Online (live)
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Tulevased kuupäevad
- 27.10.2026
Hind
1351.6 €
koos KM
1090.00 €
ilma KM
Järgmine algus — 27.10.2026
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This DP-700 course is for data professionals with experience in data extraction, transformation, and loading.
The course is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).
Osalemise eeldused:
Inglise keele oskus (koolitus viiakse läbi eesti keeles, õppematerjal on inglise keeles).
Familiarity with Microsoft Fabric (you should be familiar with basic data concepts and terminology, including data engineering, modeling, and analysis).
The course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions.
After completing this course, students will be able to:
ingest data with Microsoft Fabric;
implement a lakehouse in Microsoft Fabric;
implement real-time intelligence with Microsoft Fabric;
implement a data warehouse with Microsoft Fabric;
manage an environment in Microsoft Fabric.
The course is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).
Osalemise eeldused:
Inglise keele oskus (koolitus viiakse läbi eesti keeles, õppematerjal on inglise keeles).
Familiarity with Microsoft Fabric (you should be familiar with basic data concepts and terminology, including data engineering, modeling, and analysis).
The course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions.
After completing this course, students will be able to:
ingest data with Microsoft Fabric;
implement a lakehouse in Microsoft Fabric;
implement real-time intelligence with Microsoft Fabric;
implement a data warehouse with Microsoft Fabric;
manage an environment in Microsoft Fabric.
Õppemaht
32 ak t
Asukoht
Harju maakond, Tallinn
Lektorid
-
Henn Sarv
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