The new splitter operational node now available in Nexla enables sophisticated data flow branching by filtering source data based on specified criteria and routing the filtered data into multiple downstream flow branches, each tailored to specific data subsets.

Splitter nodes represent a powerful addition to Nexla's operational flow nodes, allowing users to create complex data routing architectures from a single source. Instead of processing all data through identical downstream flows, users can now intelligently branch data pipelines to create specialized processing paths based on data characteristics—enabling more targeted and efficient data operations across diverse use cases.

🔷 Here's how Splitter nodes enhance your data flow architecture:

• Intelligent data flow branching
  Create multiple downstream data flows from a single source, with each branch receiving only the data that matches its specific filter criteria, enabling targeted processing for different data subsets.
• Criteria-based filtering and routing
  Define sophisticated filtering logic to automatically sort and route data into multiple downstream Nexsets, ensuring each branch processes only the data relevant to its specific purpose.
• Schema consistency across branches
  Each downstream Nexset generated by a splitter node maintains the same schema as the source Nexset, ensuring data structure consistency while enabling specialized processing logic for different data subsets.
• Built-in validation and security
  Automatic validations ensure data is correctly routed to appropriate downstream flows while maintaining all applied data access controls throughout the branching process.

This operational node significantly expands your data architecture possibilities, enabling the creation of sophisticated multi-path data processing workflows that can handle diverse data routing scenarios while maintaining data integrity and security across all branches.

Users can now edit active data sources without pausing & schedule source configuration changes to be applied at future dates and times. This update provides improved workflow flexibility and eliminates the need to make critical updates precisely when they should take effect.

The new source configuration scheduling capability transforms how teams manage data source updates by allowing configuration changes to be made to active sources without pausing them, and providing the flexibility to apply those changes immediately or schedule them for future application. Instead of editing sources to make configuration updates exactly when changes needed to take effect—often requiring off-hours work or precise timing coordination—users can edit active sources at any time and schedule modifications to be applied before the next ingestion cycle. This update dramatically improves operational convenience and reduces the risk of missed update windows.

🔷 Here's how scheduled source configuration enhances your data operations:

• Edit active sources without disruption
  Modify and save configuration changes to active sources without pausing data ingestion, maintaining continuous data flow while preparing future updates.
• Flexible scheduling control
  Choose to apply changes immediately for urgent updates or schedule them for future application, giving you complete control over when modifications take effect in your data pipeline.
• Advanced preparation capability
  Configure source changes days or weeks in advance, enabling proactive management of planned data source updates, maintenance windows, or business requirement changes.
• Enhanced schema detection
  Regular activation calls during source creation ensure reliable schema detection and validation, maintaining data integrity throughout the scheduling process.

This enhancement eliminates the operational burden of precisely-timed configuration updates, allowing teams to prepare changes during business hours and apply them automatically at optimal times—significantly reducing coordination overhead and the risk of manual timing errors.

NOVA's AI assistance expands beyond code-based transforms to include comprehensive no-code transform recommendations, delivering intelligent guidance through natural language interactions directly within the Nexset Designer.

This enhanced NOVA chatbot integration represents a significant advancement in democratizing data transformation workflows. Users can now chat with NOVA using natural language to receive intelligent transform and rule recommendations that can be automatically populated into the transform builder, making advanced data processing accessible to both technical and business users within a unified interface.

🔷 Here's how NOVA's expanded capabilities enhance your transform development:

• Universal transform assistance
  NOVA now provides intelligent recommendations for both code and no-code transforms through natural language conversations, eliminating the previous limitation to code-only scenarios and enabling AI-guided development regardless of your technical approach.
• Integrated design experience
  Access the Generate button and Chat UI directly within Nexset Designer, creating a seamless workflow where AI assistance is always available without switching between interfaces or losing context.
• Context-aware intelligent recommendations
  NOVA automatically receives the complete context of your current rules and configuration, ensuring every suggestion is relevant and can be directly applied to populate your transform builder with appropriate rules and transformations.
• Flexible interaction workflow
  Seamlessly transition between AI-guided assistance and direct UI manipulation, allowing you to leverage NOVA's intelligence while maintaining full control over your transform design process.

This enhancement significantly expands NOVA's utility across your entire organization, enabling all users to benefit from AI-powered transform development while working within their preferred development paradigm.

DirectFlows now support external triggering with adaptive runtime configuration—enabling a single flow to dynamically handle multiple execution scenarios.

The new externally triggered DirectFlows feature allows users to create a single, reusable flow that adapts to different execution scenarios based on runtime variables and programmatic triggers. This eliminates the previous need to create separate DirectFlows for each location when moving data from multiple sources of the same type—such as ingesting data from different Shopify accounts or database instances.

🔷 Here's how this feature streamlines your data operations:

• Single flow for multiple source locations
  Create one DirectFlow that can ingest data from different accounts, databases, or locations of the same source type. Configure it once, then tailor the flow to each scenario via a programmatic trigger.
• Runtime variable configuration
  Define global variables with default values in your flow's API URL, and override these values as needed in each trigger request to customize the flow's behavior for specific execution scenarios.
• Centralized credentials management
  Externally triggered DirectFlows automatically create a credentials group during setup. Users can add multiple credentials to this group, then specify which credential to use for each execution via API variables, streamlining authentication across different source locations.
• Flexible programmatic control
  Trigger flows via API calls with customizable request bodies that can specify different source configurations, credentials, and processing parameters for each execution.

This enhancement significantly reduces the number of flows needed for multi-location data ingestion scenarios while providing greater flexibility and control over data processing workflows. 

💡 To learn more, see our DirectFlows user guide.

Creating data products just got faster and more efficient with Nexla’s new Enhanced Transform Editor now available in the Nexset Designer!

This enhanced transform editing experience brings a faster, more intuitive way to build transformations and visualize your transform rules. Now, you can create no-code transform rules even more efficiently by typing directly into free text fields—making it easier to discover and apply functions, attributes, and other resources as you go. 

With new keyboard shortcuts and streamlined navigation, you can also build and test transform rules entirely by keyboard, helping you prepare and move data faster than ever.

⭐  Highlights of Nexla's enhanced transform editor include:

• Faster, more efficient rule building
  Just type the output attribute name, add an equals sign, and define your transformation—no clicks required. As you type, helpful dropdowns suggest functions, attributes, and resources to guide your rule creation.
• Easily accessible function details
  Highlight any function listed in the dropdown to instantly view detailed information about the function as well as any formatting and/or input requirements in a side panel.
• Error-tolerant editing
  Incomplete or incorrect transform rules are safely saved but are not applied, so your data flow stays running while you fine-tune transformations. Detailed error messages also enable rapid error identification and correction.
• Improved readability—even for complex rules
  Transform rules are now easier to read and understand in both the Nexset Designer and the Nexset information drawer. Complex rules can be automatically formatted to span multiple lines, making even nested functions easier to follow at a glance.
• Switch between editor versions anytime
  For users who prefer Nexla's classic transform editor experience, the provided toggle lets you switch between the advanced and classic editor versions with a single click.

This upgrade is all about making transformation creation more intuitive and efficient—so you can spend less time writing rules and more time delivering data products.

💡 Try the advanced transform editor with your data today!

Building and testing transforms using Nexla's pre-built transform rules is now even easier with granular control for transform rules

The Nexset Designer and our pre-built transform rules let users easily create transforms that prepare, enrich, and validate data exactly as they need it, without requiring any code. These transforms often contain numerous rules, which can complicate testing new transforms and troubleshooting errors in output data.

We're introducing the ability to granularly disable transform rules in the Nexset Designer to simplify these processes.

🔷  Here's a look at how this feature can help your organization:

• Transform rules can now be disabled, or hidden, individually
  Disabling rules allows users to more efficiently test transforms and identify rules that cause errors or unexpected results in output data.
  
  
  
  
• Disable or re-enable rules with a single click
  Once a rule is disabled, click Run Nexset Rules to apply the remaining rules and preview the output data. Disabled rules can then be modified, deleted, or re-enabled based on the results, avoiding unnecessary rule deletion–recreation cycles.
  
  
  
  
• Disable one or multiple rules
  Any number of transform rules can be disabled—this streamlines testing/troubleshooting processes, no matter how complex the transform is.

Harness the power of GenAI and LLMs to intelligently query your data with Nexla's new RAG flows!

Implementing intelligent data querying through retrieval-augmented generation is now even easier with Nexla's RAG flows. 

RAG data flows provide a simplified way for organizations to harness the information synthesis power of GenAI & LLMs to intelligently query any data, with rapidly generated responses presented in natural, easy-to-understand language. With automatically supplied code, the querying function of RAG flows can also be effortlessly integrated into external applications, such as customer-facing and internal chatbots.

🔹  Query Any Data 
LLMs are trained with vast amounts of data, but organizations often need to query specific data relevant to a specific scenario and/or data that is not exposed for LLM training. With RAG flows, flow owners & administrators designate exactly which information is referenced to formulate query responses—including brand new or internal data. 

🔹  Application Integration
Nexla automatically supplies the complete API configuration cURL needed to integrate RAG-powered querying into external applications—for example, a customer-facing chatbot that provides product recommendations and information. Simply copy the cURL, and insert it into the application's code.  

To learn more about RAG flows and how to create them in Nexla, watch the video below or contact the Nexla support team.

The Nexla UI now includes new NOVA features that make creating new Nexsets even faster and more efficient with GenAI!

With these enhancements, users can harness the power of NOVA - Nexla's  GenAI-based chatbot to easily generate transformed Nexsets and/or transform code using natural-language prompts.

In expanded data flow visualizations, the new Generate option available in the Nexset menu lets users create new transformed Nexsets by simply entering a natural-language prompt. Using NOVA to create new Nexsets in this way avoids the need to manually construct transforms, providing significant time savings and increasing accessibility. 

• Create new Nexsets with NOVA in FlexFlow, DirectFlow, and Spark ELT data flows.
• Prompts can be as general or specific as needed--for example, "Filter the data to include only records with the order_date value 2024-12-20" or "Please remove all records with missing values".
• To ensure that each prompt is interpreted correctly, NOVA provides a description of the Nexset that will be generated and asks for user confirmation.
• Generated Nexsets are tagged with the #NexlaAI marker, making them easy to identify and track.
  
  

🔈 Use NOVA to write custom transform code
In the Nexset Designer, users can also harness the power of NOVA & GenAI to efficiently create custom code-based transforms with the new Generate Code feature. The Generate Code button is available when creating or editing a Transform: Code rule. 

Clicking this button allows users to input a natural-language prompt describing the desired transform, and NOVA will provide a response containing the corresponding transform code within the chat window. Simply click the Use Code button to apply the generated code to the transform rule.

Nexla's latest update makes orchestrating connected and dependent data flows easy & efficient!

Often, data operations include multiple data flows that are connected or dependent upon each other. For example, an aggregation flow may need to be executed after one or more separate inventory flows, or a set of data flows that share resources may require monitoring and triaging together. With Nexla's new Flow Orchestration feature, our users can create, coordinate, and manage complex sequential and/or interconnected workflows with ease.

🔷 Sequential Flows: Execute a data flow upon completion of another data flow
During data flow creation in Nexla, users can directly configure the flow to be executed upon the completion of another data flow, avoiding the need for troublesome chronological scheduling. With this option, after each run of the selected flow, once data movement into the destination is complete, the dependent data flow will be executed. 

For more information about how these features can benefit your organization, see the video below, or contact the Nexla support team.

Nexla's new Private Data Product Marketplace enables easy and effective data sharing & discovery within organizations.

In large organizations and those that work with high volumes of data, ensuring that data is available to & usable by organization members who need it while also adhering to applicable governance requirements can be a challenge. Nexla users can now take advantage of the Private Data Product Marketplace to enable efficient, well-governed collaboration between data producers & consumers.

🔉  Benefits of the Private Data Product Marketplace include:

• Data consumers can discover & access Nexsets via a simple, shopping-like interface. There, users can view a Nexset's schema, status, documentation, rating, and ownership, as well as request access to the Nexset.
• Data producers publish Nexsets to the marketplace, with full control over the Nexset's visibility to other users - a Nexset can be shared with teams, individual users in the organization, the entire organization, or even users in other organizations.
• Marketplace custodians & administrators curate each marketplace to best fit their organization’s needs, ensuring that the included Nexsets are easily discoverable by creating and assigning domains, approving new Nexset listings, delisting Nexsets as needed, and approving or denying Nexset access requests according to governance policies.

To enable the Data Product Marketplace and learn more about how it can benefit your organization, contact the Nexla sales team.