Organizations today rely on data-driven decision-making, but managing massive datasets across cloud platforms can be complex. DP-3011 Implementing a Data Analytics Solution with Azure Databricks equips data professionals to prepare, analyze, and govern data at scale using Apache Spark’s distributed computing capabilities.

In this one-day training, you’ll gain hands-on experience with Delta Lake for versioning and data integrity, automate data pipelines with Delta Live Tables, and implement governance with Unity Catalog. You’ll also explore Spark for large-scale data analysis, orchestrate workflows for production deployments, and collaborate in Python and SQL notebooks to deliver high-quality analytics-ready data.

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 big data processing and machine learning. In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.

This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.

This learning path prepares you for the task of developing data-driven applications by using Microsoft Azure SQL Database.

You’ll learn how to create and configure an Azure SQL Database, build and deploy database projects using GitHub Actions and Azure Pipelines, and automate the publishing process. Additionally, you’ll explore how to use Data API builder for Azure SQL Database and develop a data API with Azure Web Apps and Static Web App.

Furthermore, you’ll gain skills in importing data via an external REST endpoint, exporting data using an Azure Function, and securing an Azure SQL Database. These essential skills will empower you to effectively develop and manage applications using Azure SQL Database.

The world generates an estimated 463 exabytes of data every day, yet most organizations lack the engineering expertise to turn that raw information into actionable insights. Data silos, inefficient pipelines, and unsecured models leave businesses struggling to scale analytics effectively.

Microsoft Fabric Analytics Engineer (DP-600T00 / DP-600 Certification Exam Prep) solves this by preparing data professionals to design, implement, and manage enterprise-grade analytics with Microsoft Fabric. You’ll orchestrate dataflows and pipelines, apply Spark and Delta Lake for processing, and build secure lakehouses, warehouses, and semantic models that support enterprise-scale reporting.

With hands-on labs and official Microsoft courseware, this course also provides structured preparation for the Microsoft Certified: Fabric Analytics Engineer Associate exam.

• Source streaming data sources into Microsoft Fabric.
• Use real time Eventstream in Microsoft Fabric.
• Query data in a KQL database in Microsoft Fabric.
• Create real time dashboards in Microsoft Fabric.

This course is designed as an introduction to Power BI for data analysis and reporting. Skills include connecting to data and basic data preparation tasks using Power Query, designing report pages for optimal user experience, and exploring how Copilot in Power BI aids the report development process.