Duration
1 day
Overview
Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for data lakehouse analytics and machine learning.
By combining the power of Databricks, an end-to-end, managed Apache Spark platform optimized for the cloud, with the enterprise scale and security of Microsoft's Azure platform, Azure Databricks makes it simple to run large-scale data analytics workloads.
Introduction
- Creating an Azure Databricks workspace
- Identify Azure Databricks workloads
- Understand key concepts
- Exercise - Explore Azure Databricks
Summary
Azure Databricks is a scalable platform for data analytics in Microsoft Azure. You can use Azure Databricks to build highly scalable solutions for data science and engineering, machine learning, and SQL-based data analytics.
In this module, you learned how to:
- Provision an Azure Databricks workspace.
- Identify core workloads and personas for Azure Databricks.
- Describe key concepts of an Azure Databricks solution.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.