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Implementing an Azure Data Solution (DP-200T01)
Kursüberblick
In this course, the students will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.
The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.
Zielgruppe
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
Voraussetzungen
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
Kursinhalt
- Azure for the Data Engineer
- Working with Data Storage
- Enabling Team Based Data Science with Azure Databricks
- Building Globally Distributed Databases with Cosmos DB
- Working with Relational Data Stores in the Cloud
- Performing Real-Time Analytics with Stream Analytics
- Orchestrating Data Movement with Azure Data Factory
- Securing Azure Data Platforms
- Monitoring and Troubleshooting Data Storage and Processing
Online Training
Dauer 3 Tage
Preis (exkl. MwSt.)
- 1.890,– €
Sprache der Kursunterlagen: Englisch
Classroom Training
Dauer 3 Tage
Preis (exkl. MwSt.)
- Deutschland: 1.890,– €
- Schweiz: CHF 2.460,–
Verpflegung umfasst:
- Kaffee, Tee, Saft, Wasser, Cola
- Gebäck und Süßigkeiten
- Frisches Obst
- Mittagessen in einem der naheliegenden Restaurants
Gilt nur bei Durchführung durch Fast Lane. Termine, die von unseren Partnern durchgeführt werden, beinhalten ggf. ein abweichendes Verpflegungsangebot.
Sprache der Kursunterlagen: Englisch
Kurstermine
Instructor-led Online Training:
Kursdurchführung online im virtuellen Klassenraum.
Deutsch
Zeitzone: Mitteleuropäische Sommerzeit (MESZ) ±1 Stunde
Englisch
3 Stunden Differenz
4 Stunden Differenz
7 Stunden Differenz
10 Stunden Differenz
Französisch
Zeitzone: Mitteleuropäische Sommerzeit (MESZ) ±1 Stunde
Spanisch
4 Stunden Differenz
6 Stunden Differenz
7 Stunden Differenz
Portugiesisch
3 Stunden Differenz
Koreanisch
8 Stunden Differenz
Deutschland
Zur Zeit sind keine Termine verfügbar. Termin anfragen
Dieser Kurs ist nur noch bis zum 30. April 2021 verfügbar und wird durch den Kurs Data Engineering on Microsoft Azure (DP-203T00) ersetzt.