Get Relevant Information in Real-Time with Microsoft Fabric
In a world where businesses are faced with exponential growth in data, it is becoming increasingly difficult to manage it effectively.
The number of data sources and different ways of collecting data continue to increase, adding to the complexity.
📊 A Gartner study found that as many as 74% of organizations are actively seeking new tools for information automation. This explains why the data fabrics market is currently such an important technology trend.
In this blog, we explain how Microsoft Fabric can help you extract real-time relevant information from your data.
Getting the Best Out of Your Data 💡
Data and analytics are evolving at a rapid pace.
With the rise of generative AI, it is more important than ever to make autonomous decisions in real-time.
Each new trend brings new services that must be manually integrated into existing data solutions, increasing both cost and complexity.
💼 This is where Microsoft Fabric comes in. It simplifies data environments by providing a unified platform, powered by AI and constantly evolving.
With Fabric, you can spend less time integrating and managing data assets, and more time extracting value from your data.
Benefits of Microsoft Fabric:
🛠 Unified platform: Combined with Power BI, Synapse and Data Factory, it provides an all-in-one SaaS solution.
⚙️ Reduced cost and complexity: Simplifies integrating analytics services and managing data.
🔒 End-to-end security and governance: Provides better data management and protection.
The Power of Real-Time Data 📈
One of the biggest advantages of Microsoft Fabric is the ability to analyze data in real-time and extract value, all from a single platform.
Some recent additions to Fabric’s workloads make this even more powerful and flexible:
🔄 Real-Time Intelligence: Provides the ability to analyze and process large amounts of data and respond immediately to events within your organization.
🧑💻 New tools for developers: Consider the Fabric Workload Development Kit and APIs such as GraphQL™ that enable more powerful solutions.
🗂 Data Workflow in Azure Data Factory: Allows you to create, schedule and monitor data pipelines using Python.
Real-Time Intelligence: Deciding at the Right Moment ⏱
With Real-Time Intelligence, Microsoft Fabric provides an end-to-end experience for processing streaming data without having to download it first.
Benefits of Real-Time Intelligence:
⚡ Ingestion and transformation of streaming data with high granularity.
🖥 Real-time querying for immediate feedback and actions.
📲 Automatic actions: Such as alerting managers or restarting jobs in case of data processing errors.
The Real-Time Hub, part of this workload, allows you to discover, manage and use real-time data from both Microsoft sources and third parties.
Some applications of Real-Time Intelligence:
🚗 Automotive
🏭 Production
📶 IoT systems
🔍 Fraud detection
🛠 Management of business operations.
How to Work with Real-Time Components in Microsoft Fabric. ⚙️
Microsoft Fabric provides a centralized real-time center for managing data in motion.
Here are some key components:
🔍 Detection of streaming data: Find all active data streams within Fabric and quickly configure their ingestion.
🧩 Connect to streaming data: Capture, transform and route large volumes of real-time data to the right targets without writing code.
🗄 Storage and Analysis: The Eventhouses engine provides fast, complex analytical queries on structured and unstructured data.
📊 Data visualization: Bring your data to life with Power BI reports and real-time dashboards.
🚨 Take actions: Use alerts to monitor data changes and automatically take actions when certain patterns are detected.
Why is Real-Time Analysis So Important? 🔑
In the modern business world, users are accustomed to interactive, on-demand and virtually unlimited access to data.
This has led to the demand for a better user experience, with real-time data analytics playing a key role.
With real-time analytics, companies can:
🚀 Responding quickly to changes
🔍 Proactively resolve potential problems
📊 Dynamically adjust strategies based on real-time insights
🔗 Don’t wait any longer and take the next step in your data management!
