What Is Microsoft Fabric RTI Eventhouse and How Does It Work
Microsoft Fabric RTI Eventhouse is an important part of Microsoft Fabric. It helps people use real-time intelligence. This tool lets groups collect, handle, and study real-time data quickly. People use real-time data to get fast answers and make choices. The real-time intelligence eventhouse works well with other Microsoft Fabric RTI tools like KQL and OneLake. Microsoft made this system to help with hard real-time analytics. It is a key part of the bigger fabric platform for groups that use data.
Key Takeaways
Microsoft Fabric RTI Eventhouse lets teams gather and study real-time data quickly. This helps people make fast choices and take action right away.
Eventhouse works well with other Microsoft Fabric tools like OneLake and Power BI. These tools together give a full data experience.
The system can handle millions of events every hour. It uses KQL databases to answer hard questions fast.
Eventhouse helps many types of businesses by giving real-time insights. It also sends automatic alerts and makes sharing data easy across different platforms.
Built-in monitoring and cost tools help teams keep Eventhouse working well. These tools also help save money.
Overview
Microsoft Fabric RTI Eventhouse
Microsoft Fabric RTI Eventhouse is a main part of Microsoft Fabric. It helps groups bring in, work with, and study real-time data. Eventhouse is fast and collects streaming events. It saves these events in KQL databases. These databases let people ask questions and get answers quickly. You can learn from the data right away.
Eventhouse works with other Microsoft Fabric RTI tools. For example, it connects to Lakehouse. This changes real-time events into Delta Lake format for deeper study. Event streams can send data to different places. Some go to Fabric Activator for automatic actions. Others go to custom apps for more work. This setup lets groups build real-time intelligence that fits what they need.
Eventhouse and real-time dashboards help people watch and use live data. This helps with both daily and big-picture choices.
The system also works with AI. AI models can ask for data or actions. Intermediary services turn these requests into KQL queries. Eventhouse runs these queries. This lets teams use real-time intelligence. They can set up automatic actions and start workflows using live data.
Real-Time Data
Real-time data in Microsoft Fabric RTI Eventhouse means streaming events that keep coming from many places. These events can be structured, semi-structured, or unstructured. The system brings in this data and sorts it by when it arrives. This makes it easy to search and look through.
Groups use real-time data to move from slow reports to quick answers. For example, a company can watch inventory, check IoT devices, or manage service calls as they happen. This helps with reports, tracking, and talking to customers. It all uses up-to-date information.
Microsoft Fabric RTI Eventhouse makes things much faster. Some groups have cut data wait times from 30-45 minutes to under 3 minutes. This helps businesses act quickly and make better choices.
Key Features
Microsoft Fabric RTI Eventhouse has many features that make it special:
It can bring in millions of events each hour. This helps with lots of data and keeps things fast.
It works well with OneLake. This keeps all data easy to find and use.
Eventstream lets you handle and send real-time data to many places, like Fabric Activator or custom apps.
KQL databases let you ask hard questions about detailed data, and get answers fast.
Real-time dashboards show data as soon as it comes in. This means no waiting like with batch jobs.
Security is better with Entra ID. Permissions match Fabric workspace access, so you do not need connection strings.
Teams can use Git and deployment pipelines. This makes it easier to work together and manage streaming data.
REST APIs help with automation. You can connect to other systems and grow your real-time intelligence.
Fabric workspace tools let you watch events and metrics. This helps you keep track of how things are going.
Note: Microsoft Fabric RTI Eventhouse uses Azure Data Explorer technology. This gives it great speed and saves money for real-time analytics.
These features help groups put analytics right into their work. Teams can watch what is happening, set up automatic actions, and work better together. The solution works for many things, like IoT, finance, customer help, and moving goods.
How It Works
Architecture
Microsoft Fabric RTI Eventhouse uses layers to manage real-time intelligence and data. This setup helps groups handle lots of data fast. There are three main layers in this system:
Bronze Layer: This is where raw data comes in first. Eventstream or Eventhouse tables collect data from things like IoT devices, event hubs, or apps. The system grabs and saves this data right away. This makes sure no data is lost when it comes in.
Silver Layer: In this layer, the system cleans and improves the data. It removes extra copies and follows rules for handling events. This makes the data ready for people to study. Real-time updates keep the data new.
Gold Layer: This layer keeps data that has been added up and worked on. The system uses materialized views to make the data easy to see and study. People can get the newest answers fast, which helps them make choices.
The system can bring in, change, clean, and add up data right away. Built-in rules help save space and make searching faster.
Eventhouse is the main place where data is stored in this setup. It manages many KQL databases, so people can search through lots of data quickly. The system works with other Microsoft Fabric tools, like Eventstream for bringing in data, Activator for automatic jobs, KQL Queryset for searching, and Real-Time Dashboards for showing data. These tools work together so groups can use real-time intelligence and act fast when things change.
KQL Data Management
KQL, or Kusto Query Language, is very important for handling data in Microsoft Fabric RTI Eventhouse. KQL databases let people make and manage tables, views, functions, and update rules. This helps with many kinds of data jobs.
KQL can read and change JSON data from change data capture events. The system can do simple changes as new data comes in, so it is easier to use tricky data types.
Table update rules in KQL work like triggers. When new data shows up, these rules add new rows to the right tables. This keeps the data fresh without people having to do it by hand.
Materialized views use KQL functions to save and clean up queries. These views make it easier to study the data and find answers.
KQL lets people search streaming data fast for real-time checks and reports. Teams can spot patterns, find problems, and react as things happen.
KQL data management helps groups bring in, change, clean, and search streaming data. This way, they can use both real-time intelligence and regular analytics in Microsoft Fabric RTI.
Integration with OneLake
OneLake makes it easier to get and use data across Microsoft Fabric. OneLake lets data from KQL databases or tables be seen in Delta Lake format. This means people can use other Microsoft Fabric tools, like Power BI Direct Lake, Lakehouse, Data Warehouse, and Notebooks, to look at the data.
To use OneLake, groups need a workspace with Microsoft Fabric and a KQL database with editing rights and some data. OneLake can be turned on for a database or table. When it is on, the system makes a copy of the KQL database data in Delta Lake format. This copy is read-only and made for studying.
Eventhouse groups new data into Parquet files. This helps the data be ready fast and keeps costs low. Sometimes, writing can wait up to three hours or until files are big enough, but this stops too many small files from slowing things down.
People can make shortcuts from Lakehouse or Data Warehouse to get Eventhouse data. This makes it easier to use the same data in different places.
A mirroring rule checks how late the data is and helps split delta tables. Splitting can make searching faster, especially with big data sets.
Data keeping rules from the KQL database also work for OneLake data. If OneLake is turned off, the system soft deletes the data from OneLake.
OneLake gives a single, read-only Delta Lake format for real-time event data. This makes it easier to get data and helps with deep studies across Microsoft Fabric.
Using Microsoft Fabric RTI Eventhouse, KQL data management, and OneLake together gives a strong way to use real-time intelligence. Groups can bring in, handle, and study data from many places, all in one big system. This helps people make quick choices and keeps businesses ahead with data.
Setup
Workspace and Licensing
To start using Microsoft Fabric RTI Eventhouse, you need a workspace with the right license. The workspace must run on Fabric capacity. This can be a Fabric trial, premium capacity (P SKU), or Fabric capacity (F SKU). With this setup, you can make Fabric artifacts like Eventhouse. Make sure your workspace is set up for real-time intelligence workloads. Entra ID authentication keeps data streaming safe. Only people with permission can use dataflows and bring in data.
Tip: Centralized workspace monitoring gives logs and metrics. You can see queries, commands, and data coming in. This helps you watch data activity and fix problems.
Creating an Eventhouse
There are a few steps to set up an Eventhouse. The steps are simple. You can do them in the Fabric portal or with APIs.
Go to the Fabric workspace and click "New" to make an Eventhouse.
Give the Eventhouse a display name.
Add a KQL database to the Eventhouse. This database keeps streaming data and helps with real-time analytics.
Get the connection string for the Eventhouse. This lets you bring in data.
Make tables in the KQL database. Set up caching and retention rules with KQL scripts.
Sometimes, queries are slow if you use shortcuts instead of direct ingestion. Turning on Eventhouse Query Acceleration can make queries much faster.
Adding Data
Eventhouse lets you bring in real-time data in many ways. You can pick the best way for your needs.
Dataflows are a low-code way to bring in data from many sources with Power Query. Dataflows let you change data and set schedules.
Dataflow sources can connect straight to Azure Data Explorer (Kusto) databases. They can also bring in JSON data from URLs.
Continuous ingestion from azure storage keeps data coming into Eventhouse all the time.
Data pipelines from azure storage help you plan and schedule complex ways to bring in data.
You can use Azure Event Grid and MQTT protocol for event-driven data ingestion.
Change Data Capture (CDC) from Azure Data Explorer grabs real-time changes and streams them into Eventhouse.
Note: Using dataflows, continuous ingestion from azure storage, and data pipelines together makes data ingestion strong and flexible for real-time analytics.
By doing these steps, you can set up an Eventhouse, add KQL databases, and start bringing in data from many sources. This setup helps you use real-time intelligence and act on data as soon as it arrives.
Use Cases
Real-Time Analytics
Microsoft Fabric RTI Eventhouse helps groups use real-time analytics. Teams can watch streaming data as it comes in. This gives quick insight into what is happening. Eventhouse and real-time dashboards show business systems right away. Users can see trends, find problems, and act fast.
Many groups use real-time analytics to make service better. For example, they look at ServiceNow tickets as they arrive. They pull out key phrases from ticket notes. They find problems that happen again and again. They also see where users have trouble. Real-time dashboards show how ticket systems are doing now. Alerts can start automatic actions when big events happen. Power BI reports mix old and new data. This helps with both long-term study and quick choices.
Some common real-time analytics uses are:
Watching lots of streaming data for business insight.
Mixing real-time and old data for a full picture.
Using AI to pull key info from text.
Starting actions from live data events.
Showing results right away to help with choices.
Groups often see big speed gains. Query Acceleration on OneLake shortcuts can make queries up to 50 times faster. This lets teams use both real-time and old data with no wait. It makes analytics work better and saves money.
Industry Scenarios
Microsoft Fabric RTI Eventhouse works for many industries. In transportation, a Sydney transit group used it for ferry tracking. EventStream brought in ferry location data. Eventhouse kept this data for study. Data Activator sent alerts when ferries got to certain spots. KQL Querysets helped with fast, deep study. Real-time dashboards gave reports on how things were going.
Power BI let business users make dashboards they could change. These dashboards updated with real-time data. They mixed streaming and old info. The solution gave quick insights and alerts. This helped the agency make better choices.
Other industries use it too:
Stores track stock in real time to stop shortages.
Banks watch transactions for fraud and rules.
Factories check sensor data to plan repairs.
Customer service teams use dashboards to watch requests and reply faster.
Microsoft Fabric RTI Eventhouse brings streaming data, analytics, and dashboards together. This helps groups get real-time intelligence and stay ahead in their fields.
Monitoring and Optimization
Performance Tracking
Microsoft Fabric RTI Eventhouse has tools to help track how well it works. The monitoring eventhouse interface gives a read-only workspace monitoring database. You can open this from the Eventhouse explorer pane. This database lets teams ask questions about tables and see how things are running.
The system overview page shows how the system is doing. It tells you how much storage is used, like original, compressed, and premium storage. You can also see activity numbers, such as compute minutes and how much data comes in. Teams can check which databases get the most queries or new data. The explorer pane and ribbon make it easy to find and use these tools.
Some main tools for tracking performance are:
Workspace monitoring database to check usage and performance.
Monitoring KQL database overview page for query details.
System overview page to see how healthy the system is.
Activity numbers to watch compute and data coming in.
Navigation tools to help find monitoring features fast.
Tip: Look at the query logs table to spot slow or heavy queries. This helps teams fix problems and make things run better.
To make things work better, batch new data into good-sized Parquet files. Change write delay times and split delta tables when needed. Using OneLake helps you search data across Microsoft Fabric engines. Monitoring tools and one place to manage things help teams use resources well and keep things running fast.
Cost Management
Cost management in Microsoft Fabric RTI Eventhouse is about how much capacity and storage you use. Capacity use depends on how many virtual cores are working and how long the eventhouse is on. Each virtual core that is active for an hour uses one capacity unit. Doing things like running queries or bringing in data uses more capacity. Storage costs depend on how much data you keep in Fabric storage.
If you use outside services, like azure, it can use more capacity units than inside jobs. Reading data from outside may use about three times more units. Writing data from outside may use about twice as many. Groups should think about this when planning what they need.
Ways to save money include:
Sharing capacity and compute between many databases.
Turning off the eventhouse when you do not need it.
Picking a low compute level for systems that need quick answers, so you save money but still get speed.
Using one place to watch queries and resource use.
Turning on data availability at the database or table with OneLake to manage costs.
Moving to Microsoft Fabric RTI Eventhouse can lower costs by removing extra parts like Debezium and Kafka. Real-time data coming in and being handled makes things work better and easier. Keeping storage and processing in one place means you do not need other licenses, like for Snowflake or Power BI. This all-in-one way helps you grow and makes it easier to start using the system.
Note: Knowing how much storage and compute you use helps groups pick the right SKUs and licenses. This makes data management work well and saves money.
Microsoft Fabric RTI Eventhouse helps groups use real-time analytics in a strong way. Teams can save and get millions of events every hour. They can look through billions of rows in just seconds with KQL databases. Eventhouse works with other Microsoft Fabric tools, so sharing data and making reports is simple. It works with OneLake, so people can use data in Power BI, Warehouse, and Lakehouse. This takes stress off main systems and makes things run faster. To begin, teams can read the official guides, try out sample projects, or join Microsoft’s Real-Time Intelligence in a Day events.
FAQ
What is a KQL database in Eventhouse?
A KQL database keeps streaming event data inside Eventhouse. Teams use Kusto Query Language, or KQL, to look for, sort, and study this data fast. KQL databases help people get answers from real-time info.
How does Eventhouse connect to other Microsoft Fabric tools?
Eventhouse works with OneLake, Power BI, Lakehouse, and Data Warehouse. People can share data between these tools. Shortcuts and Delta Lake formats help use the same data in many places.
Can Eventhouse handle both real-time and historical data?
Yes. Eventhouse manages streaming data for real-time insight. Teams can also mix this with old data from other sources. This gives a full view for study and reports.
How do users bring data into Eventhouse?
Users can use dataflows, pipelines, event streams, or direct links. These ways support many data sources, like IoT devices, cloud storage, and APIs. Eventhouse makes it easy to start getting data right away.
Is Eventhouse secure?
Eventhouse uses strong security tools. Only allowed users can see or manage data.