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Terminy kursów:

28.06.2021 - 01.07.2021
20.09.2021 - 23.09.2021
22.11.2021 - 25.11.2021

Oficjalny konspekt Microsoft Pozostałe szkolenia

DP-203 Data Engineering on Microsoft Azure

Czas trwania kursu: 4 dni
Cena: 2899 zł netto

CERTYFIKACJE ZAWODOWE

Certyfikacja podstawowa CertyfIkacja specjalistyczna Certyfikacja ekspercka
FUNDAMENTALS ASSOCIATE EXPERT

 


POZIOM SZKOLENIA

podstawowy średniozaawansowany zaawansowany ekspercki
100 200 300 400

 

TEMATYKA ZAJĘĆ

  • Module 1: Explore compute and storage options for data engineering workloads
    Introduction to Azure Synapse Analytics
    Describe Azure Databricks
    Introduction to Azure Data Lake storage
    Describe Delta Lake architecture
    Work with data streams by using Azure Stream Analytics
    Lab : Explore compute and storage options for data engineering workloads

 

  • Module 2: Design and implement the serving layer
    Design a multidimensional schema to optimize analytical workloads
    Code-free transformation at scale with Azure Data Factory
    Populate slowly changing dimensions in Azure Synapse Analytics pipelines
    Lab : Designing and Implementing the Serving Layer

 

  • Module 3: Data engineering considerations for source files
    Design a Modern Data Warehouse using Azure Synapse Analytics
    Secure a data warehouse in Azure Synapse Analytics
    Lab : Data engineering considerations

 

  • Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools
    Explore Azure Synapse serverless SQL pools capabilities
    Query data in the lake using Azure Synapse serverless SQL pools
    Create metadata objects in Azure Synapse serverless SQL pools
    Secure data and manage users in Azure Synapse serverless SQL pools
    Lab : Run interactive queries using serverless SQL pools

 

  • Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark
    Understand big data engineering with Apache Spark in Azure Synapse Analytics
    Ingest data with Apache Spark notebooks in Azure Synapse Analytics
    Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
    Integrate SQL and Apache Spark pools in Azure Synapse Analytics
    Lab : Explore, transform, and load data into the Data Warehouse using Apache Spark

 

  • Module 6: Data exploration and transformation in Azure Databricks
    Describe Azure Databricks
    Read and write data in Azure Databricks
    Work with DataFrames in Azure Databricks
    Work with DataFrames advanced methods in Azure Databricks
    Lab : Data Exploration and Transformation in Azure Databricks

 

  • Module 7: Ingest and load data into the data warehouse
    Use data loading best practices in Azure Synapse Analytics
    Petabyte-scale ingestion with Azure Data Factory
    Lab : Ingest and load Data into the Data Warehouse

 

  • Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines
    Data integration with Azure Data Factory or Azure Synapse Pipelines
    Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
    Lab : Transform Data with Azure Data Factory or Azure Synapse Pipelines

 

  • Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines
    Orchestrate data movement and transformation in Azure Data Factory
    Lab : Orchestrate data movement and transformation in Azure Synapse Pipelines

 

  • Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse
    Optimize data warehouse query performance in Azure Synapse Analytics
    Understand data warehouse developer features of Azure Synapse Analytics
    Lab : Optimize Query Performance with Dedicated SQL Pools in Azure Synapse

 

  • Module 11: Analyze and Optimize Data Warehouse Storage
    Analyze and optimize data warehouse storage in Azure Synapse Analytics
    Lab : Analyze and Optimize Data Warehouse Storage

 

  • Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
    Design hybrid transactional and analytical processing using Azure Synapse Analytics
    Configure Azure Synapse Link with Azure Cosmos DB
    Query Azure Cosmos DB with Apache Spark pools
    Query Azure Cosmos DB with serverless SQL pools
    Lab : Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link

 

  • Module 13: End-to-end security with Azure Synapse Analytics
    Secure a data warehouse in Azure Synapse Analytics
    Configure and manage secrets in Azure Key Vault
    Implement compliance controls for sensitive data
    Lab : End-to-end security with Azure Synapse Analytics

 

  • Module 14: Real-time Stream Processing with Stream Analytics
    Enable reliable messaging for Big Data applications using Azure Event Hubs
    Work with data streams by using Azure Stream Analytics
    Ingest data streams with Azure Stream Analytics
    Lab : Real-time Stream Processing with Stream Analytics

 

  • Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks
    Process streaming data with Azure Databricks structured streaming
    Lab :Create a Stream Processing Solution with Event Hubs and Azure Databricks

 

  • Module 16: Build reports using Power BI integration with Azure Synpase Analytics
    Create reports with Power BI using its integration with Azure Synapse Analytics
    Lab :Build reports using Power BI integration with Azure Synpase Analytics

 

  • Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics
    Use the integrated machine learning process in Azure Synapse Analytics
    Lab : Perform Integrated Machine Learning Processes in Azure Synapse Analytics