Microsoft
Optimize Data Management with Microsoft Fabric
16 January 2024 | Por Adrián Velázquez and Carolina Magariños
Have you faced the complexity of generating accurate and up-to-date reports for top management? Are you concerned about consistency in report results produced by different people? Have you experienced the difficulty of consolidating data from various platforms? Controlling access to information and its security, as well as the efficiency in generating manual reports, are common challenges in data management within any organization.
In today's era, data generation is constant, but its value is maximized when managed intelligently. Microsoft Fabric emerges as the comprehensive solution to address these concerns and provide efficient data management at all stages of the process.
Breakdown of Microsoft Fabric in Data Management:
1. Key Roles Involvement:
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Data Engineers: Establish connections with data sources, transform them, and make them available to other roles.
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Data Scientists: Perform predictive analyses to inform future decisions.
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Data Analysts: Conduct descriptive analyses based on historical data to support decision-making.
2. Combined Experiences:
Microsoft Fabric positions itself as a leader in data analytics, providing integrated experiences that cover everything from data integration with Data Factory, data engineering and storage with Synapse, to data science and real-time analytics, as well as business intelligence through Power BI.
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Data Factory: Solves the most complex data integration and ETL scenarios with large-scale data movement and transformation services. You can use over 200 native connectors to connect to on-premises and cloud data sources.
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Synapse Data Engineering: Facilitates the creation of a data lake using Apache Spark, an open-source data processing engine designed to provide speed, scalability, and programmability in Big Data environments.
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Synapse Data Warehouse: A secure SQL storage in an open data format with maximum performance at PB scale.
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Synapse Real Time Analytics: An analytics engine for observational data, streaming data, collected from various sources such as applications, IoT devices, human interactions, and more.
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Synapse Data Science: The Data Science experience allows you to create, deploy, and operationalize machine learning models to enrich organizational data with predictions.
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Power BI: The world's leading business intelligence (BI) platform. Ensures that business owners can access all information quickly and intuitively to make better decisions.
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Data Activator: Allows setting up alerts and automated actions triggered by certain conditions observed in the data.
Key Benefits for Organizations:
1. Consolidated Single Copy:
- Adoption of Microsoft Fabric eliminates redundant data storage, reducing costs and optimizing storage infrastructure.
2. Affordability in Data Engineering and Analysis:
- Not only does it reduce storage costs, but it also simplifies complex processes, lowering implementation costs and improving financial efficiency.
3. More Efficient Data Engineering Cycle:
- Allows for a more efficient and simplified data engineering and analysis process, resulting in higher productivity and shorter development cycles.
4. Greater Visibility:
- Offers better visibility of data and the data engineering and analysis process, empowering engineers to make informed decisions and ensure data quality.
5. Simplified Management with Microsoft Fabric:
- Provides end-to-end governance in Power BI, Synapse, and Data Factory on a unified SaaS platform, facilitating more collaborative data engineering and analysis processes.
Don't miss the opportunity to join the Microsoft Fabric revolution.
Take advantage of this exclusive opportunity to transform data management in your organization!
If you want to know all about How to Manage Data Intelligently with Microsoft Fabric visit our website, and check out our YouTube channel for a Webinar on “Microsoft Fabric”.
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