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Get relevant information in real time with Microsoft Fabric - Plain Concepts

Oct 28, 2024Oct 28, 2024

Companies are faced with managing an ever-increasing and unmanageable volume of data. This volume continues to grow, adding to it the different sources or forms of structuring, which makes it more and more difficult to manage.

According to a Gartner study, 74% of organizations are actively seeking new information automation tools for their business. This is why the data fabric market has become one of the most important technological trends of the moment. Below, we explain how Microsoft Fabric can become your best ally when it comes to obtaining relevant information from your data in real-time.

With the fast-paced, ever-changing landscape of data and analytics, as well as the momentum they are gaining with the advent of generative AI, have made real-time autonomous actions more important than ever.

Each new trend that emerges requires new services that companies must manually integrate into their data estate, increasing both costs and complexity.

With the arrival of Microsoft Fabric in the market, data estates are simplified and prepared thanks to a unified platform powered by AI that is constantly evolving. One of its strengths is its ability to keep up with trends and integrate each new capability, allowing less time to be spent on integrating and managing data assets and more time to be spent on extracting value from data.

Fabric is a SaaS analytics solution that spans from data movement to data science to real-time analytics to business intelligence. It combines the best of Power BI, Synapse, and Data Factory into a unified software platform with seven core workloads, each designed specifically for specific people and tasks.

With this type of unified architecture, you can reduce costs and efforts typical of integrating analytics services and help simplify each company’s data estate. It also helps manage and protect data more effectively with end-to-end security and governance capabilities.

Fabric gives teams the ability to unify, transform, analyze, and extract value from data, all from a single platform.

With its latest additions in workloads, Fabric’s capabilities have become more robust and customizable:

Thanks to this enhanced workload, new additional functionality is offered to aid in decision-making with up-to-the-minute information. From ingest to transformation, query, and immediate action, it is an end-to-end experience that enables seamless handling of real-time data without the need to download it first.

With Real-Time Intelligence, you can ingest streaming data at high granularity, dynamically transform streaming data, query real-time data for instant feedback, and trigger actions such as upsetting a production manager when equipment is overheating or rerunning jobs when data pipelines fail.

Behind this workload is the real-time hub, which enables the discovery, management, and use of streaming data from Fabric events and other Microsoft sources, third-party cloud providers, and other external sources.

All events flowing through the real-time hub can be easily transformed and routed to any Fabric data warehouse, as well as create new flows that can be discovered and consumed.

From this real-time hub, you can pull information through the data profile, set the right level of approval, set alerts on changing conditions, and so on. All without leaving the center.

Real-time intelligence can be used for data analysis, immediate visual reporting, centralization of data in motion for an organization, actions on data, efficient querying, transformation, and storage of large volumes of structured or unstructured data. Whether you need to evaluate data from IoT systems, system logs, free text, semi-structured data, or contribute to data for consumption by other users in your organization, real-time intelligence provides a versatile solution.

Real-time intelligence applications span a wide variety of business scenarios, such as automotive, manufacturing, IoT, fraud detection, enterprise operations management, and anomaly detection.

The real-time center acts as a centralized catalog within the organization and the various components are as follows:

Users have become accustomed to interactive, on-demand, and virtually unlimited data. This has led to demands for a better user experience, and real-time data analytics is a key business branch, revolutionizing decision-making processes and dynamically shaping an organization’s strategies.

In the face of a rapidly changing business environment, the ability to analyze data instantly has become a necessity, and thanks to it, companies gain the ability to monitor events in real-time.

This allows you to react quickly to changes and solve potential problems. And at Plain Concepts we help you to make the most of it.

We offer you a Microsoft Fabric Adoption Framework with which we will evaluate the technological and business solutions, we will make a clear roadmap for the data strategy, we visualize the use cases that make the difference in your company, we take into account the sizing of equipment, times and costs, we study the compatibility with existing data platforms and we migrate Power BI, Synapse and Data warehouse solutions to Fabric. Don’t wait any longer!

74% of organizations are actively seeking new information automation tools for their businessdata estates are simplified and prepared thanks to a unified platform powered by AI that is constantly evolvingyou can reduce costs and efforts typical of integrating analytics services and help simplify each company’s data estateFabric’s capabilities have become more robust and customizableReal-Time IntelligenceFabric Workload Development KitMicrosoft Azure Data Factorynew additional functionality is offered to aid in decision-making with up-to-the-minute informationAll events flowing through the real-time hub can be easily transformed and routed to any Fabric data warehousedata analysis, immediate visual reporting, centralization of data in motion for an organization, actions on data, efficient querying, transformation, and storage of large volumes of structured or unstructured dataStreaming data detectionConnecting to streaming dataProcess data streamsStore and analyze dataData Information Visualization:Trigger actions:the ability to analyze data instantly has become a necessityMicrosoft Fabric Adoption Framework