Explore fundamentals of large-scale analytics
Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.
Learning objectives
In this module, you learn how to:
Identify common elements of a data analytics solution
Describe key features for data ingestion pipelines
Identify common types of analytical data store and related Azure services
Describe platform-as-a-service (PaaS) data analytics solutions in Azure
Provision Azure Synapse Analytics and use it to ingest, process, and query data
Describe features of Microsoft Fabric - a software-as-a-service (SaaS) solution for data analytics
Use Microsoft Fabric to ingest and analyze data
Prerequisites
Before starting this module, you should have a conceptual understanding of data and databases, and be familiar with Microsoft Azure services for data workloads such as Azure Storage, Azure SQL Database, and Azure Cosmos DB.