Engineering Data with Microsoft Cloud Services (20776)

Descripcion de Curso Calendario Esquema del Curso
 

Resumen del Curso

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.

Quién debería asistir

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.

Prerrequisitos

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.

Objetivos del curso

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.

Contenido del curso

  • Architectures for Big Data Engineering with Azure
  • Processing Event Streams using Azure Stream Analytics
  • Performing custom processing in Azure Stream Analytics
  • Managing Big Data in Azure Data Lake Store
  • Processing Big Data using Azure Data Lake Analytics
  • Implementing custom operations and monitoring performance in Azure Data Lake Analytics
  • Implementing Azure SQL Data Warehouse
  • Performing Analytics with Azure SQL Data Warehouse
  • Automating the Data Flow with Azure Data Factory
Classroom training
Modality: C

Duración 5 días

Precio (sin incluir impuestos)
  • Panama: US$ 110,-
  • Argentina: US$ 110,-
  • Brasil: US$ 110,-
  • Chile: US$ 110,-
  • Colombia: US$ 110,-
  • Costa Rica: US$ 110,-
  • SA Voucher: 5
Fechas y Registro
Entrenamiento en línea
Modality: L
Precio (sin incluir impuestos)
  • Panama: US$ 110,-
  • Argentina: US$ 110,-
  • Brasil: US$ 110,-
  • Chile: US$ 110,-
  • Colombia: US$ 110,-
  • Costa Rica: US$ 110,-
Fechas y Registro
 
Presionar el boton sobre el nombre de la ciudad para reservar Calendario
Este es un curso FLEX, que es entregado tanto virtualmente como en el salón de clase.
América Latina
Europa
Alemania
Jan 21, 2019 - Jan 25, 2019 Munich
Feb 11, 2019 - Feb 15, 2019 Hamburgo
Mar 11, 2019 - Mar 15, 2019 Düsseldorf
Apr 8, 2019 - Apr 12, 2019 Berlín
May 13, 2019 - May 17, 2019 Stuttgart
Italia
Jan 28, 2019 - Feb 1, 2019 Milano
Mar 4, 2019 - Mar 8, 2019 Roma
May 6, 2019 - May 10, 2019 Milano
Jun 10, 2019 - Jun 14, 2019 Roma
Reino Unido
Mar 11, 2019 - Mar 15, 2019 FLEX training Curso FLEX. Lenguaje: Inglés
Zona Horaria: Europe/London
Este curso será presentado por un socio
Suiza
Jan 21, 2019 - Jan 25, 2019 Zurich
Oriente Medio
Emiratos Árabes Unidos
Mar 24, 2019 - Mar 28, 2019 Dubai Lenguaje del curso: Inglés This course is being delivered by iTLS.
Africa
Egipto
Mar 24, 2019 - Mar 28, 2019 El Cairo Lenguaje del curso: Inglés