Data Engineering on Microsoft Azure DP-203

Next Date:
Termin auf Anfrage
Total Duration:
72 Stunden in 8 Tage
Internship:
Nein
Teaching Languages:
  • Deutsch
  • Englisch
Type of Course:
  • Weiterbildung 
Type of Provision:
  • Virtuelles Klassenzimmer 
Execution Time:
  • Tagesveranstaltung
min. Participants:
1
max. Participants:
15
Price:
keine Angaben
Funding:
  • Bildungsgutschein 
  • Qualifizierungschancengesetz 
Type of Qualification:
Zertifikat/Teilnahmebestätigung 
Final Examination:
Ja
Qualification Title:
Data Engineering on Microsoft Azure DP-203
Certifications of the Course:
  • SGB III-Maßnahmezulassung 
Certification Number of the Course:
  • 955-362-2024
Courses for Women only:
Nein
Childcare:
Nein
Link to Course:
Quantity of Details:
Suchportal Standard Plus

Target Groups:
Arbeitssuchende, Personen mit IT-Erfahrung bzw. IT-Ausbildung, förderfähige Arbeitnehmer/in im Programm Qualifizierungschancengesetz und in Verbindung mit Kurzarbeit und/oder Transfergesellschaften.
Professional Requirements:
IT - Berufserfahrung oder Praktikum oder technische IT - Ausbildung.
Technical Requirements:
Keine besonderen Anforderungen.
Classification of the Federal Employment Agency:
  • C 1430-10-15 Microsoft-Systeme - Administration und Zertifizierungen

Contents

In this course, the student will learn about the data engineering patterns and practices as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. They will then explore how to design an analytical serving layers and focus on data engineering considerations for working with source files. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. The student will spend time on the course learning how to monitor and analyze the performance of analytical system so that they can optimize the performance of data loads, or queries that are issued against the systems. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how the data in an analytical system can be used to create dashboards, or build predictive models in Azure Synapse Analytics.

New Horizons ist eine durch Pearson VUE akkreditierte Trainingsorganisation und damit berechtigt, Prüfungen abzunehmen.
Vor Seminarbeginn finden ein Beratungsgespräch und ggf. ein Einstufungstest statt.

All statements without guarantee. The providers are solely responsible for the correctness of the given information.

Published on 21.02.2025, last updated on 25.02.2025