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.
Data Engineer
Solution Architect
Student
Azure
Module Objectives
In this module, you will 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
Units
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.