Effortlessly Visualize Billions of Data Rows in Dashboards
Have you ever wondered how fast you can process and visualize over a billion rows of data? With the right tools, it can be done in just six seconds!
With the Syncfusion Big Data Platform, you can process billions of rows of data, and with Bold BI, you can visualize that data in under a minute without writing a single line of code.
Why is fast data loading important in dashboards?
Fast data loading is essential for ensuring a seamless user experience and maximizing the effectiveness of dashboards. When users can load more data in dashboards quickly, it leads to numerous benefits, including:
- User experience: Users seek quick access to information. Rapid data processing enhances their ability to engage with and analyze data efficiently.
- Real-time decision-making: Speed allows businesses to analyze data instantly and make quick, informed decisions.
- Enhanced productivity: Efficient data processing and visualization optimize workflows, enabling teams to achieve more in less time and concentrate on strategic initiatives rather than waiting for data.
- Minimized waiting time: Quick data loading and visualizations reduce delays, making it easier for users to access and use their data.
How to load and visualize a billion rows in a dashboard
The Syncfusion Big Data Platform can process billions of data points with impressive response times, and Bold BI can display those data points in stunning dashboards in under a minute. By using these solutions together, you will unlock insights from deep within your data and make business decisions quickly.
Visualizing over 1.1 billion NYC taxi rides with dashboards
To show off the impressive capabilities of the Big Data Visualization Platform and Bold BI, we’ll demonstrate how you can visualize a billion NYC Taxi rides in one dashboard.
We take a sample data set of over 1.1 billion records from the New York City Taxi & Limousine Commission dataset from NYC Open Data. This dataset contains all taxi trips that occurred between 2009 and 2015 in New York City.
After uploading the data to the Big Data Platform, tuning it, caching it, and partitioning it, we then use Bold BI to visualize it.
Now, let’s connect the data through a SparkSQL data source. To create a SparkSQL data source from the Bold BI dashboard designer, follow the steps listed in “Choose the SparkSQL data source” in the Bold BI documentation. After authenticating the database, click Connect to connect to the SparkSQL server that’s been configured. Drag the table from the left pane into the center pane and then save the data source. This can be accomplished in less than 30 seconds.
The created data source will be added to the DATA SOURCES panel. Once the data source is created, add the widget you want to visualize the data with to your dashboard by dragging and dropping it onto the designer surface. In this demonstration, we’ll use a bar chart widget.
Assign data to the added widget. Apply aggregate functions to the columns you’re going to visualize.
Once the data is assigned, you are visualizing billions of rows, simplifying complex information for quick comprehension. In the following figure, we use three separate charts to summarize over a billion records in business dashboard.
Click Preview to view the full dashboard.
Save time and money with Bold BI
You have seen how massive amounts of data can be visualized in just a few seconds by using these Syncfusion platforms. Not only do they save you time, but they also save you money. Check out the Bold BI interactive pricing calculator to see how affordable our enterprise-grade data visualizations are.
If you want to learn more about this topic, visit our YouTube channel or watch the video here.
Bold BI empowers businesses to unlock valuable insights from vast and complex datasets. With seamless, hassle-free integration, it connects to diverse data sources, enabling you to make confident, data-driven decisions. Don’t hesitate — start using Bold BI today by signing up for a free 15-day trial and discover the future of data visualization!
Originally published at https://www.boldbi.com on September 26, 2024.
