Introduction to Data Visualization in Rockset and Explo

August 26, 2024
Discover how to visualize Rockset database using Explo for customer-facing analytics.
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Introduction

Data is the new gold. As organizations across the globe are navigating the nuances of a rapidly digitizing world, data has emerged as a central pillar of this new economy. Be it through identifying patterns, inferring insights, or projecting future trends, data plays an indispensable role in all strategic and operational decisions. However, these myriad data points are of little use if they cannot be processed, understood, and analyzed in an effective and efficient manner. This is where data visualization comes into play, transmuting raw, complex data into a form that is easily understandable, analyzable, and actionable.

Among the various data management systems available today, Rockset stands out for its ability to allow developers and data scientists to build data applications swiftly. Rockset is a real-time indexing database built for cloud, providing full-featured, fast SQL, and easy scaling without operational overhead. It leverages the agility of the cloud to deliver speed, scale, and simplicity, serving as an incredible tool for businesses that need to make quick and precise decisions based on vast amounts of data.

But how can we take advantage of Rockset’s capabilities and present this data in a manner that can be intuitively understood and leveraged by end-users? This is where Explo comes into the picture. As a collaborative BI tool, Explo simplifies the process of building interactive dashboards and data applications, enabling data-driven decision making across all levels of an organization. It empowers users to create stunning visualizations without requiring extensive technical know-how, making it an excellent partner to the robust data-handling capabilities of Rockset.

The combination of Rockset and Explo is a powerful one. By integrating these two platforms, users can transform their raw data stored in Rockset into meaningful insights using Explo's dynamic, interactive visualization tools. This integration has the potential to drastically enhance your data operations, turning the often-complex process of data exploration and visualization into a more streamlined, accessible, and informative experience.

Rockset's powerful real-time indexing capabilities allow for the rapid ingestion, transformation, and serving of data, ensuring up-to-date insights are readily available. Its cloud-native architecture means that it scales automatically with the data volume, reducing the operational overhead that is often a burden for many organizations. Moreover, with its Converged Indexing™ and distributed SQL engine, Rockset provides fast, efficient analytics over semi-structured data, which makes it a perfect fit for organizations dealing with diverse data sources and structures.

Explo, on the other hand, offers a user-friendly interface for building interactive dashboards and data apps. It is designed to democratize data, bridging the gap between complex data systems and end-users who need to understand and make decisions based on this data. With Explo, creating rich, interactive visualizations becomes a smooth process, without the need for extensive coding skills or deep knowledge of data analysis techniques. It's an agile tool, designed to allow users to quickly and efficiently build and iterate on data visualizations, based on their changing needs and evolving data landscape.

The seamless integration of Rockset and Explo paves the way for an enriched data visualization experience. With Rockset handling the data's scalability, indexing, and real-time processing, Explo can focus on presenting this data in an easy-to-understand, interactive format. Users can leverage the combined power of these platforms to dig deeper into their data, identify trends and patterns, make informed decisions, and convey complex information in a digestible manner.

In the forthcoming sections, we will explore how to integrate Rockset and Explo, including the process of setting up the connection, building interactive dashboards using data stored in Rockset, and sharing these visualizations with your team. Whether you're a data analyst seeking to create in-depth reports, a product manager aiming to visualize user behavior, or a business leader needing to monitor key metrics, the Rockset-Explo integration can revolutionize the way you interact with and leverage your data.

By unlocking the power of real-time data indexing with Rockset and intuitive, interactive visualization with Explo, we can illuminate the path to more insightful, data-driven decision making. Stay tuned as we embark on this journey to explore the fascinating world of data visualization using Rockset and Explo.

Now, let's do a deep dive into using Rockset with Explo.

Step 1: Install and Set up Rockset and Explo

Before integrating, you need to have both Rockset and Explo installed and set up. To sign up for an account with Rockset's cloud offering, you may go here. To sign up for an Explo account, go here.

Step 2: Get Credentials from Rockset

To get credentials from Rockset, go to the API key section to create and get an API key.

Step 2: Establish a Connection from Rocket to Explo

Once both platforms are set up, you can establish a connection from Rockset to Explo. In the Explo dashboard, go to the 'Data' tab and choose 'Connect Datasource'. Choose 'Rockset' as your database, fill in your Rockset credentials and establish the connection.

Step 3: Create Rockset Dashboard

Once your data is imported, you can start creating dashboards. Navigate to the 'Dashboards' tab and click 'Create Dashboard'.

Step 4: Write SQL

In the dashboard, write SQL to access your data. Click 'Save and Run' to see a sample of your data.

Step 5: Create a Chart

Visualize your data via a chart in Explo. Drag on a chart, select the dataset to create a visualization from, define the x-axis and y-axis for the chart, then watch as you created your first visual from raw warehouse data!

Step 6: Embed in Your Application

Conclusion

In conclusion, the integration of Rockset and Explo presents a compelling opportunity for organizations to effectively harness the power of their data. The robust real-time indexing capabilities of Rockset, coupled with the intuitive and interactive data visualization tools provided by Explo, enable a streamlined approach to managing and interpreting complex data structures.

By integrating these two powerful platforms, you can transform raw data into actionable insights, allowing for more precise decision-making and strategic planning. The power of this combination lies in its versatility and scalability, catering to a wide range of data structures and volumes while ensuring an intuitive and accessible user experience.

As we've explored, setting up this integration is a straightforward process, allowing you to swiftly transition from raw data management in Rockset to comprehensive data visualization in Explo. In an age where data-driven insights are key to staying competitive, the amalgamation of Rockset and Explo provides an effective solution, turning data complexity into simplicity, and insights into action.

By capitalizing on this powerful combination, you're not just leveraging two groundbreaking technologies - you're fostering a culture of data literacy within your organization, democratizing data access, and enabling all stakeholders to derive meaningful insights from your data.

As we move forward in this data-driven era, solutions like Rockset and Explo will become increasingly vital in navigating the complex data landscapes that organizations encounter. Embracing these tools can empower your team to fully harness your data's potential, unlocking new opportunities for growth, innovation, and success. Welcome to the future of data visualization, where data becomes insights, and insights drive action.

Gary Lin
Founder of Explo

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ABOUT EXPLO

Explo, the publishers of Graphs & Trends, is an embedded analytics company. With Explo’s Dashboard and Report Builder product, you can a premium analytics experience for your users with minimal engineering bandwidth.
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