DP-203 Data Engineering on Microsoft Azure
Czas trwania kursu: 4 dni
Cena: 2999 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: 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 3: 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 4: 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 5: 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 6: 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 7: 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 8: 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 9: 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 10: 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 11: 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