Microsoft Fabric Training
Microsoft Fabric streamlines data engineering and analytics by promoting a unified approach, eliminating data replication, and providing a true single source of data for efficient decision-making
Microsoft Fabric is a game-changer for organizations navigating the data-rich landscape of today. Here’s how we can help customers harness the power of this technology:
Components of Microsoft Fabric
Microsoft Fabric is a comprehensive platform designed to meet your organization’s data and analytics needs. It integrates various tools and services to provide a seamless experience for data professionals. Here are the key components:
Power BI
Power BI is a powerful business analytics tool that enables you to visualize data, share insights, and make data-driven decisions. It offers interactive dashboards and reports that are easy to create and share.
Azure Synapse Analytics
Azure Synapse Analytics combines big data and data warehousing capabilities. It allows you to query data on your terms, using either serverless or provisioned resources at scale.
Azure Data Explorer
Azure Data Explorer is a fast and highly scalable data exploration service. It is ideal for analyzing large volumes of diverse data, such as logs and telemetry data.
Data Factory
Data Factory is a cloud-based data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale.
OneLake
OneLake is a unified data lake that provides a single, logical storage layer for all your data. It simplifies data management and ensures data consistency across your organization.
Real-Time Analytics
Real-Time Analytics enables you to process and analyze streaming data in real-time. This component is crucial for scenarios where timely insights are essential, such as monitoring and alerting systems.
Synapse Data Engineering
Synapse Data Engineering provides tools for building, transforming, and sharing your data estate. It includes data lakehouses, notebooks, and Spark environments for comprehensive data engineering tasks.
Synapse Data Science
Synapse Data Science offers advanced analytics capabilities, including AI and machine learning. It helps you unlock powerful insights from your data using cutting-edge technologies.
Synapse Data Warehouse
Synapse Data Warehouse is a secure and scalable SQL-based data warehouse. It supports high-performance analytics and integrates seamlessly with other components of Microsoft Fabric.
Data Activator
Data Activator allows you to monitor and take action on your data. It helps you automate responses to data changes and ensures that your data-driven processes are always up-to-date.
Administration
Microsoft Fabric provides robust administrative tools to manage and configure your environment. These tools help you control access, monitor usage, and ensure compliance with organizational policies.
Organizations can avoid redundancies, simplify data management, and enhance decision-making efficiency. With its standardized format and seamless integration, Fabric empowers businesses to redefine their data analytics landscape and maximize their data assets.
Target Audience
This comprehensive training course is tailored for data engineers, data scientists, data warehousing professionals, business intelligence analysts, and other IT professionals involved in managing workspaces and securing data within Microsoft Fabric.
Examples of Workloads
- Data Engineers: Designing and implementing data pipelines, transforming raw data into usable formats, and ensuring data integrity and quality.
- Data Scientists: Developing and deploying machine learning models, performing complex data analysis, and deriving actionable insights from large datasets.
- Data Warehousing Professionals: Managing large-scale data storage systems, optimizing data retrieval processes, and ensuring efficient data organization and access.
- Business Intelligence Analysts: Creating dashboards and reports, conducting data analysis to support decision-making, and ensuring data visualization aligns with business needs.