Training on Demand

Microsoft on Demand Training 20776 - Performing Big Data Engineering on Microsoft Cloud Services (90 Day) Packaged Set inkl Kursunterlagen

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.

von Learning 1st
Fortgeschritten Englisch

Beschreibung

Course OutlineModule 1: Architectures for Big Data Engineering with AzureThis module describes common architectures for processing big data using Azure tools and services. Lessons

Understanding Big Data
Architectures for Processing Big Data
Considerations for designing Big Data solutions

Lab : Designing a Big Data Architecture

Design a big data architecture

After completing this module, students will be able to:

Explain the concept of Big D...

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Ziel

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.

Anforderungen an die Teilnehmer

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.

Teilnehmer

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.

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