Data Engineering in Microsoft Fabric & Azure enables users to design, build, and maintain infrastructures and systems that enable organizations to collect, store, process, and analyze large volumes of data.
Data analytics can provide valuable insights into customer behavior and preferences. By analyzing data from customer interactions, such as website visits, social media engagement, and purchase history, businesses can gain a better understanding of their target audience. The researchers and scientists can use Microsoft technologies to collect, store, process, analyze and visualize research data for various research projects. Technologies like Microsoft Fabric and Power BI helps to fulfill the needs of researchers without coding or programming knowledge.
Coverage
<< Full coverage of Microsoft’s DP900, DP600 and PL300 with Labs and Projects >>
— Describe core data concepts
— Identify considerations for relational and non relational data on Azure
— Describe an analytics workload on Azure
— Maintain a data analytics solution using Microsoft Fabric.
— Prepare and enrich data for analysis.
— Secure and maintain analytics assets
— Implement and manage semantic models
— Prepare, model, visualize and analyze the data using Power BI.
— Manage and secure Power BI.
Data Project Scenarios
— Hospital Patient Readmission Analytics – a comprehensive end-to-end healthcare data engineering project.
— HR Analytics Dashboard for Workforce Optimization
— Cloud-Based Retail Data Warehouse
— Airline Dataset Analysis using Microsoft Fabric and PowerBI.
— Customer Reviews Analysis using Microsoft Fabric and PowerBI.
— End to End Data Engineering using Fabric: Create a Lakehouse, ingest data using various methods, perform data transformation and modeling, and generate a final report.
— Use Fabric to detect and prevent fraud: Banks can use Fabric to detect suspicious spending patterns and protect their customers.
— Use fabric and forecast demand, understand customer buying patterns, optimize inventory management, and conduct targeted marketing strategies to enhance sales and customer experience.
— Utilize Power BI in Fabric to create comprehensive reports and dashboards.
— Use Azure Synapse Analytics in Fabric to forecast future trends and behaviors. For example, healthcare organizations can use Text Analytics from Azure Cognitive Services to extract insights from large case histories
— Monitoring streaming data: Leverage Fabric’s real-time analytics capabilities to monitor streaming data in industries like finance and retail. This enables quick responses to changing conditions and enhances operational efficiency
— Real-Time Intelligence: Use the streaming and query capabilities of Real-Time Intelligence to analyze data like London bike share data. Learn to stream and transform the data, run KQL queries, build a Real-Time Dashboard, and create a Power BI report
— Use Power BI and automate financial reporting by consolidating data from multiple systems into a single dashboard, covering income statements, balance sheets, and cash flows.
— Power BI Dashboard for Fleet Management: Integrate telematics data, fuel usage, and diagnostic information into dashboards for live fleet tracking and operational expense reduction.
Labs & Exercises
— Provision Azure relational database Services
— Explore Azure Storage, Azure Cosmos DB
— Explore Data Analytics and Realtime Analytics in Microsoft Fabric
— Visualize data with Power BI
— Create and ingest data with a Microsoft Fabric lakehouse
— Analyze data with Apache Spark, Use delta tables in Apache Spark
— Create and use a Dataflow Gen2 in Microsoft Fabric
— Ingest data with a pipeline
— Organize your Fabric lakehouse using a medallion architecture
— Explore Real-Time Intelligence in Fabric, Ingest real-time data with Eventstreams in Microsoft Fabric
— Work with data in a Microsoft Fabric eventhouse
— Analyze data in a data warehouse, Load data into a data warehouse in Microsoft Fabric
— Monitor a data warehouse in Microsoft Fabric, Secure a warehouse in Microsoft Fabric
— Implement deployment pipelines in Microsoft Fabric, Monitor Fabric activity in the Monitor hub, Secure data access in Microsoft Fabric
— Get Data, Load Data in Power BI Desktop, Design a Data Model in Power BI, Create DAX calculations in Power BI Desktop
— Create visual calculations in Power BI Desktop, Design and enhance a report in Power BI Desktop
— Perform data analysis in Power BI, Create and manage workspaces in Power BI service, Create a Power BI dashboard, Enforce row-level security in Power BI