Descrizione
Microsoft Official Courses On-Demand (MOC) rappresenta l’offerta formativa ufficiale Microsoft in modalità e-learning. Tutti i corsi MOC on-demand sono preparati da professionisti di livello internazionale per rispondere a pieno alle esigenze di raggiungimento della certificazione corrispondente e alla produttività aziendale. Il materiale didattico è di tipo multimediale: Video, Testo e Immagini composti secondo le ultime tecniche di auto apprendimento tipiche dei corsi in self-study online. Tutti i corsi sono corredati da Laboratori Remoti Online e Test di verifica per la preparazione all’esame di riferimento. È possibile acquistare assieme al corso anche il libro ufficiale per completare il kit di formazione. Questi prodotti formativi si prestano in modo ottimale anche al supporto della normale attività di training classica in aula o a distanza e in video presenza tempo reale.
Intro 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.
Obiettivi 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.
Target:
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.
Recensioni
Ancora non ci sono recensioni.