IIRF Online > IT & Software > Other IT & Software > Microsoft Azure > Introduction to Data Engineering with Microsoft Azure 1
Introduction to Data Engineering with Microsoft Azure 1 by Futurelearn
Discover essential data engineering skills and processes using Microsoft Azure services.
Course Highlights
- Explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for business to explore.
- Explore the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data you want to store in the cloud.
- Create and manage data pipelines in the cloud using Azure Data Factory.
- Perform different types of analytics through Azure Synapse Analytics components.
- Explore the tools and techniques that can be used to work with Modern Data Warehouses productively and securely within Azure Synapse Analytics.
- Perform data engineering with Azure Synapse Apache Spark Pools to boost the performance of big-data analytic applications by in-memory cluster computing.
Skills you will learn!
Curriculum
3 Topics
Understand the evolving world of data
Survey the services on the Azure Data platform
Identify the tasks of a data engineer in a cloud-hosted architecture
5 Topics
Choose a data storage approach in Azure
Create an Azure Storage account
Connect an app to Azure Storage
Secure your Azure Storage account
Store application data with Azure Blob storage
7 Topics
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Populate slowly changing dimensions in Azure Synapse Analytics pipelines
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Operationalize your Azure Data Factory or Azure Synapse Pipeline
4 Topics
Introduction to Azure Synapse Analytics
Survey the Components of Azure Synapse Analytics
Explore Azure Synapse Studio
Design a Modern Data Warehouse using Azure Synapse Analytics
8 Topics
Design a multidimensional schema to optimize analytical workloads
Use data loading best practices in Azure Synapse Analytics
Optimize data warehouse query performance in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Understand data warehouse developer features of Azure Synapse Analytics
Manage and monitor data warehouse activities in Azure Synapse Analytics
Analyze and optimize data warehouse storage in Azure Synapse Analytics
Secure a data warehouse in Azure Synapse Analytics
5 Topics
Analyze data 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
Monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics
Introduction to Data Engineering with Microsoft Azure 1
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