Microsoft Fabric Updates Blog

Sense, analyze, and generate insights with Synapse Real-Time Analytics in Microsoft Fabric

See Arun Ulagaratchagan’s blog post to read the full Microsoft Fabric preview announcement.

 

In our personal lives, we’ve become accustomed to accessing and consuming data in an interactive, on-demand, and easily accessible way. From streaming movies and TV shows to ordering food and groceries online, we expect to have what we need at our fingertips in real-time. This shift in data consumption has been powered by big data, streaming data ingestion, and indexed, keyword-based search, all of which have simplified the user experience. However, many organizations have struggled to keep up with this shift due to the complexity of their data systems and lack of appropriate tools. This is where Synapse Real-Time Analytics in Microsoft Fabric comes in.

A picture containing text, screenshot, font, graphic design

Description automatically generated

 

With Real-Time Analytics, organizations can simplify their data integration and focus on scaling up their analytics solution while democratizing data for everyone, from citizen data scientists to advanced data engineers. Real-Time Analytics enables quick access to data insights through automatic data streaming, indexing, and partitioning, and employs auto-generated queries and visualizations, all while preserving powerful analytical capabilities. The platform is optimized for streaming, time-series data, and utilizes a query language and engine with exceptional performance for searching structured, semi-structured, and unstructured data.

 

One of the key advantages of Real-Time Analytics is its seamless integration with all Fabric experiences, including Lakehouse, Data warehouse, Data Integration, and Power BI. This allows organizations to leverage the full power of the Fabric platform to store, manage, process, and analyze their data with ease. Real-Time Analytics can ingest data from any source and in any data format, without the need to build complex data models or create scripts to transform the data. Imported data undergoes default partitioning and indexing, allowing users to work with versatile data structures and query structured, semi-structured, or free text.

 

A diagram of workloads

Description automatically generated with low confidence

Another major advantage of Real-Time Analytics is its ability to scale to an unlimited amount of data, from gigabytes to petabytes, with unlimited scalability on concurrent queries and concurrent users. Real-Time Analytics is an ideal solution for businesses that need to work with high-speed, high-volume data streams. It’s also well-suited for organizations that require real-time insights to drive their decision-making processes. If you need to ingest data quickly, with high freshness and low query latency, Real-Time Analytics is an excellent choice.

 

Additionally, if you need to work with structured, semi-structured, or unstructured data formats, including free text, Real-Time Analytics offers the necessary flexibility. With its ability to handle large volumes of data and optimized time-series database structure, Real-Time Analytics is a valuable tool for organizations across a range of industries, including finance, transportation and logistics, smart cities, smart buildings, manufacturing operations, automotive, and oil and gas.

 

Real-Time Analytics also includes:

  • Simplified Get Data experience for bringing data from any format and source. 
  • One-click Power BI report generation. 
  • One Logical Copy – data can be available to Microsoft OneLake and exposed to other Fabric experiences. 
  • Truly serverless – no SKU selection. 
  • Real-time streaming data availability in seconds from ingestion to querying. 
  • Querying OneLake data via OneLake shortcuts. 
  • Seamless connectivity with Azure Data Explorer for databases via Cloud Connection.
  • Real-time complex data structure transformation.  

 

In summary, Synapse Real-Time Analytics in Microsoft Fabric is a fully managed big data analytics platform that simplifies data integration and democratizes data for organizations. It allows organizations to focus on scaling up their analytics solutions while seamlessly integrating with other Fabric experiences. With its ability to ingest data from any source, query raw data without transformation, and scale to handle massive amounts of data, Real-Time Analytics is a powerful tool for organizations looking to stay ahead in the data-driven world.

  

Get started with Microsoft Fabric

Microsoft Fabric is currently in preview. Try out everything Fabric has to offer by signing up for the free trial—no credit card information required. Everyone who signs up gets a fixed Fabric trial capacity, which may be used for any feature or capability from integrating data to creating machine learning models. Existing Power BI Premium customers can simply turn on Fabric through the Power BI admin portal. After July 1, 2023, Fabric will be enabled for all Power BI tenants. 

 

Sign up for the free trial. For more information read the Fabric trial docs.

   

Other resources

If you want to learn more about Microsoft Fabric, consider:

Related blog posts

Sense, analyze, and generate insights with Synapse Real-Time Analytics in Microsoft Fabric

October 4, 2024 by Jason Himmelstein

We had an incredible time in our host city of Stockholm for FabCon Europe! 3,300 attendees joined us from our international community, and it was wonderful to meet so many of you in person. Throughout the week of FabCon Europe, our teams published a wealth of valuable content, and we want to ensure you have … Continue reading “Fabric Community Conference Europe Recap”

October 2, 2024 by Miguel Llopis

Last week was such an exciting week for Fabric during the Fabric Community Conference Europe, filled with several product announcements and sneak previews of upcoming new features. Thanks to all of you who participated in the conference, either in person or by being part of the many virtual conversations through blogs, Community forums, social media … Continue reading “Recap of Data Factory Announcements at Fabric Community Conference Europe”