Introduction to Data Engineering with Microsoft Azure 2
- Offered byFutureLearn
Introduction to Data Engineering with Microsoft Azure 2 at FutureLearn Overview
Duration | 6 weeks |
Total fee | ₹2,763 |
Mode of learning | Online |
Credential | Certificate |
Introduction to Data Engineering with Microsoft Azure 2 at FutureLearn Highlights
- Earn a certificate upon completion
Introduction to Data Engineering with Microsoft Azure 2 at FutureLearn Course details
- You’ll be introduced to tools including Azure Synapse, Databricks and Azure Data Lake Storage, learning how each can improve and streamline your processes
- You’ll be guided through HTAP architecture and learn how to design HTAP using Azure Synapse Analytics
- With this knowledge, you’ll be able to run analytics in near-real-time, giving you the ability to respond to opportunities at speed
- You’ll identify the advantages of Azure Databricks over other Big Data platforms, and learn how to spend more time building apps and less time managing infrastructure
- You’ll finish this course understanding how Microsoft Azure can be used to optimise data engineering operations
Introduction to Data Engineering with Microsoft Azure 2 at FutureLearn Curriculum
Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Plan hybrid transactional and analytical processing using Azure Synapse Analytics
Configure Azure Synapse Link with Azure Cosmos DB
Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics
Data engineering with Azure Databricks Part 1
Describe Azure Databricks
Spark architecture fundamentals
Read and write data in Azure Databricks
Work with DataFrames in Azure Databricks
Work with DataFrames columns in Azure Databricks
Data engineering with Azure Databricks Part 2
Describe lazy evaluation and other performance features in Azure Databricks
Work with DataFrames advanced methods in Azure Databricks
Describe platform architecture, security, and data protection in Azure Databricks
Build and query a Delta Lake
Process streaming data with Azure Databricks structured streaming
Data engineering with Azure Databricks Part 3
Describe Azure Databricks Delta Lake architecture
Create production workloads on Azure Databricks with Azure Data Factory
Implement CI/CD with Azure DevOps
Integrate Azure Databricks with Azure Synapse
Describe Azure Databricks best practices
Large-Scale Data Processing with Azure Data Lake Storage Gen2
Introduction to Azure Data Lake storage
Upload data to Azure Data Lake Storage
Secure your Azure Storage account
Implement a Data Streaming Solution with Azure Streaming Analytics
Work with data streams by using Azure Stream Analytics
Enable reliable messaging for Big Data applications using Azure Event Hubs
Ingest data streams with Azure Stream Analytics