Informações sobre o curso

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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 13 horas para completar
Inglês
Legendas: Inglês

O que você vai aprender

  • Configure batch processing with Databricks and Data Factory on Azure

  • Use ETL and ELT to load and transform data

  • Create linked services and identify pipelines for data stored within Data Factory

  • Explain Data Virtualization in PolyBase

Habilidades que você terá

Data AnalysisMicrosoft AzureBig DataData LakeData Factory
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível intermediário
Aprox. 13 horas para completar
Inglês
Legendas: Inglês

oferecido por

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LearnQuest

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

7 minutos para concluir

Introduction

7 minutos para concluir
1 vídeo (Total 7 mín.)
1 vídeos
2 horas para concluir

Section 1 - Batch Processing with Databricks and Data Factory on Azure

2 horas para concluir
5 vídeos (Total 40 mín.), 3 leituras, 1 teste
5 videos
1.2 - ELT Processing using Azure9min
1.3 - Databricks and Azure Spark7min
1.4 Transform Data using Databricks in ADF8min
1.5 Use Case: ADF and Spark7min
3 leituras
Azure Databricks and Apache Spark10min
Exercise 1 - Use Batch Processing with Databricks and Data Factory on Azure10min
Exercise 2 - Intro to Databricks and Data Factory Page30min
1 exercício prático
Module 1 Quiz30min
2 horas para concluir

Section 2 - Creating Pipelines and Activities

2 horas para concluir
4 vídeos (Total 46 mín.), 3 leituras, 1 teste
4 videos
Processing using a Pipeline7min
Analyzing Logs for an HDInsight Cluster9min
Using Azure Blob Storage within HDInsight7min
3 leituras
Using Azure Blob Storage with HDInsight5min
Exercise 1 - Pipeline Activities & Usage in Azure Data Factory15min
Exercise 2 - Examine Logs within the HDInsight/Blob Storage15min
1 exercício prático
Module 2 Quiz30min
Semana
2

Semana 2

2 horas para concluir

Section 3 - Link Services and Datasets

2 horas para concluir
5 vídeos (Total 38 mín.), 1 leitura, 1 teste
5 videos
Identifying Pipelines for a Data Factory9min
Data Stores and Azure Blob Storage5min
Linked Service and Connecting Data Factory to External Resources3min
Processing Input Blobs with Azure Data Factory5min
1 leituras
Exercise 1 - Link Data within Datasets in Azure Storage10min
1 exercício prático
Module 3 Quiz30min
1 hora para concluir

Section 4 - Schedules and Triggers

1 hora para concluir
5 vídeos (Total 17 mín.), 1 leitura, 1 teste
5 videos
Creating a Trigger that Runs a Pipeline on a Schedule2min
Scheduling a Trigger in Azure Data Factory3min
Pipeline Execution and Triggers in ADF3min
Use Case: Azure Schedule, Trigger, and Events2min
1 leituras
Pipeline Execution and Triggers in ADF5min
1 exercício prático
Module 4 Quiz30min
2 horas para concluir

Section 5 - Selecting Windowing Functions

2 horas para concluir
5 vídeos (Total 30 mín.), 1 leitura, 1 teste
5 videos
How Stream Analytics Support Native Windowing Functions 9min
Temporal Windows5min
Using Window Functions in the GROUP BY Clause2min
Aggregating Events over Multiple Windows using WindowsQ6min
1 leituras
Understanding Stream Analytics Windowing Functions10min
1 exercício prático
Module 5 Quiz30min
Semana
3

Semana 3

2 horas para concluir

Section 6 - Configuring Input and Output for Streaming Data Solutions

2 horas para concluir
7 vídeos (Total 33 mín.), 1 leitura, 1 teste
7 videos
Generate Sample Call Data and Send it to Event Hubs10min
Creating a Stream Analytics Job 7min
Configuring Job Input and Output 3min
Define a Query to Filter Fraudulent Calls 2min
Test and Start the Job4min
Visualize Results in Power BI2min
1 leituras
Output Real-Time Stream Analytics Data to a Power BI Dashboard10min
1 exercício prático
Module 6 Quiz30min
1 hora para concluir

Section 7 - ELT versus ETL in Polybase

1 hora para concluir
4 vídeos (Total 21 mín.), 1 leitura, 1 teste
4 videos
How SQL Data Warehouse in Microsoft Offers ELT Solutions 3min
Loading Methods using Non-PolyBase Options 3min
Use Case: A Deeper Dive into ETL Processing 3min
1 leituras
Video: Ingesting Data using Polybase | Azure SQL Data Warehouse10min
1 exercício prático
Module 7 Quiz30min

Perguntas Frequentes – FAQ

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