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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
Details Icon

Introduction to Data Engineering with Microsoft Azure 2
 at 
FutureLearn 
Course details

More about this course
  • 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

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Introduction to Data Engineering with Microsoft Azure 2
 at 
FutureLearn 

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