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Terminy kursów:

19.11.2018 - 23.11.2018
25.02.2019 - 01.03.2019
10.06.2019 - 14.06.2019

Oficjalny konspekt Microsoft Pozostałe szkolenia

MS-20776 Engineering Data with Microsoft Cloud Services

Czas trwania kursu: 5 dni
Cena: 2299zł


KLUCZOWE ZAGADNIENIA

  • praca z BigData
  • usługa Azure Stream Analytics
  • wykorzystanie Azure Data Lake Store
  • implementacja Azure SQL Data Warehouse
  • Azure Data Factory
  • Analiza i przetwarzanie danych za pomoca wyżej wymienionych technologiiPrzemysław Rosłon, Microsoft Certified Trainer


CERTYFIKACJE ZAWODOWE

Certyfikacja podstawowa CertyfIkacja specjalistyczna Certyfikacja ekspercka
FUNDAMENTALS ASSOCIATE EXPERT

 

Tematyka szkolenia pokrywa zagadnienia wymagane na ścieżce MCSA: Data Engineering with Azure
Dowiedz się więcej o certyfikacjach Microsoft


POZIOM SZKOLENIA

podstawowy średniozaawansowany zaawansowany ekspercki
100 200 300 400

 

TEMATYKA ZAJĘĆ

  • Module 1: Architectures for Big Data Engineering with Azure
    Understanding Big Data
    Architectures for Processing Big Data
    Considerations for designing Big Data solutions
    Lab : Designing a Big Data Architecture

 

  • Module 2: Processing Event Streams using Azure Stream Analytics
    Introduction to Azure Stream Analytics
    Configuring Azure Stream Analytics jobs
    Lab : Processing Event Streams with Azure Stream Analytics

 

  • Module 3: Performing custom processing in Azure Stream Analytics
    Implementing Custom Functions
    Incorporating Machine Learning into an Azure Stream Analytics Job
    Lab : Performing Custom Processing with Azure Stream Analytics

 

  • Module 4: Managing Big Data in Azure Data Lake Store
    Using Azure Data Lake Store
    Monitoring and protecting data in Azure Data Lake Store
    Lab : Managing Big Data in Azure Data Lake Store

 

  • Module 5: Processing Big Data using Azure Data Lake Analytics
    Introduction to Azure Data Lake Analytics
    Analyzing Data with U-SQL
    Sorting, grouping, and joining data
    Lab : Processing Big Data using Azure Data Lake Analytic

 

  • Module 6: Implementing custom operations and monitoring performance in Azure Data Lake Analytics
    Incorporating custom functionality into Analytics jobs
    Managing and Optimizing jobs
    Lab : Implementing custom operations and monitoring performance in Azure Data Lake Analytics

 

  • Module 7: Implementing Azure SQL Data Warehouse
    Introduction to Azure SQL Data Warehouse
    Designing tables for efficient queries
    Importing Data into Azure SQL Data Warehouse
    Lab : Implementing Azure SQL Data Warehouse

 

  • Module 8: Performing Analytics with Azure SQL Data Warehouse
    Querying Data in Azure SQL Data Warehouse
    Maintaining Performance
    Protecting Data in Azure SQL Data Warehouse
    Lab : Performing Analytics with Azure SQL Data Warehouse

 

  • Module 9: Automating the Data Flow with Azure Data Factory
    Introduction to Azure Data Factory
    Transferring Data
    Transforming Data
    Monitoring Performance and Protecting Data
    Lab : Automating the Data Flow with Azure Data Factory