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Engineering Data with Microsoft Cloud Services (MOC 20776)

Descrizione del Corso Schedulazione
 

Chi dovrebbe partecipare

The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.

Prerequisiti

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • A good understanding of Azure data services.
  • A basic knowledge of the Microsoft Windows operating system and its core functionality.
  • A good knowledge of relational databases.

Obiettivi del Corso

After completing this course, students will be able to:

  • Describe common architectures for processing big data using Azure tools and services.
  • Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data.
  • Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job.
  • Describe how to use Azure Data Lake Store as a large-scale repository of data files.
  • Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store.
  • Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs.
  • Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest.
  • Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data.
  • Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services.

Contenuti del Corso

This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.

Formazione in Aula
Modality: C

Durata 5 Giorni

Prezzo (IVA esclusa)
  • Italia: 1.600,- €
Date e prenotazione
 
Clicca sulla città per iscriverti Schedulazione
Europa
Italia
04.03. - 08.03.2019 Roma
06.05. - 10.05.2019 Milano
10.06. - 14.06.2019 Roma
22.07. - 26.07.2019 Milano
16.09. - 20.09.2019 Roma
04.11. - 08.11.2019 Milano
09.12. - 13.12.2019 Roma
FLEX Training

Di seguito i corsi disponibili in modalità Flex.

11.03. - 15.03.2019 FLEX training Corso FLEX in lingua Inglese
Fuso orario: Europe/London
24.06. - 28.06.2019 FLEX training Corso FLEX in lingua Inglese
Fuso orario: Europe/London
Svizzera
22.07. - 26.07.2019 Zürich
Germania
11.02. - 15.02.2019 Amburgo
11.03. - 15.03.2019 Düsseldorf
08.04. - 12.04.2019 Berlino
13.05. - 17.05.2019 Stuttgart
11.06. - 14.06.2019 Francoforte 4 Giorni
01.07. - 05.07.2019 Münster
22.07. - 26.07.2019 Monaco
12.08. - 16.08.2019 Amburgo
Regno Unito
11.03. - 15.03.2019 FLEX training Corso FLEX in lingua Inglese
Fuso orario: Europe/London
24.06. - 28.06.2019 FLEX training Corso FLEX in lingua Inglese
Fuso orario: Europe/London
Medio Oriente
Emirati Arabi
24.03. - 28.03.2019 Dubai Lingua Corso: Inglese This course is being delivered by iTLS.
25.08. - 29.08.2019 Dubai Lingua Corso: Inglese This course is being delivered by iTLS.
Qatar
25.08. - 29.08.2019 Doha Lingua Corso: Inglese
Africa
Egitto
24.03. - 28.03.2019 Cairo Lingua Corso: Inglese
25.08. - 29.08.2019 Cairo Lingua Corso: Inglese
Questo è un corso FLEX, erogato sia in aula che in remoto, contemporaneamente.
 

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