Modern DataOps
AI-Powered Integration that enables continuous change with built-in modern DataOps.
Enable Continuous Change with AI-Powered Integration
Powered by AI
Nexla enables continuous integration across the full variety of structured and unstructured data. When you connect to a source. Nexla automatically generates Nexsets, ready-to-use data products that represent the source data, using metadata intelligence powered by AI. As you create and change flows, Nexla creates validation rules, sample data, and more to support modern DataOps.
Built-in Governance
As you create a new flow, Nexla optimizes and deploys it to the best infrastructure based on the integration style, latency, and other attributes. Nexla’s built-in collaboration, security, and governance – including a marketplace, monitoring and alerting, end-to-end lineage, and audit trails – let administrators govern users, data, and flows without slowing projects down.
Schema Evolution
Nexla also has built-in schema evolution and data quality. The built-in validation rules, generated by Nexla’s metadata intelligence, continuously monitor for and address any data errors and schema changes. Data errors are automatically corrected or quarantined. Schema changes are propagated downstream. Every change is captured in audit trails. This improves data quality and minimizes downtime.
Data Products -
Nexsets
Unlike other integration tools, the Nexla integration platform supports any data and enables constant change. All data is represented as human-readable virtual data products called Nexsets, with metadata actively managed by Nexla. Nexsets decouple producers and consumers, maximize data reuse by making data format, protocol, and latency independent, and make data products that are very flexible to change. As you build more Nexsets, you turn heterogeneous data into a common, unified data model.
Schema Evolution -
Metadata Intelligence
Nexla creates Nexsets and actively manages all flows using metadata intelligence, powered by AI. As you connect to any source, Nexla automatically discovers and transforms source data and metadata into ready-to-use Nexsets, and creates validation rules that continuously watch for schema changes and data errors. As you transform data and build pipelines, Nexla creates new Nexsets with their own rules. You can also easily add rules of your own.
Continuous Integration -
Data Flows
As sources or other schema change, metadata intelligence detects it and helps manage end-to-end schema evolution across the impacted flows. Nexla focuses on minimizing downtime by automatically propagating many changes downstream, such as additional columns and attributes. If a source changes enough, it can create a new Nexset version. For more serious changes that require manual intervention, Nexla sends alerts to those impacted.
Team Collaboration -
Marketplace
Nexla also provides a built-in Marketplace that helps maximize data reuse while governing and securing data. Administrators can tailor each private marketplace for different domains to promote collaboration and protect data. Nexsets can be published and shared with individuals and teams with a few clicks. Consumers can then easily discover, learn more about, and request access to Nexsets. Any request to share a data product goes through built-in approval processes within Nexla’s marketplace. The marketplace also helps manage change over time.
Data Quality -
Validation Rules
Nexla auto-generates validation rules with Nexsets to make data ready-to-use as you build each new Nexset in a flow. You can add new rules and immediately test them out during development. In production, as data errors are detected, some can be corrected automatically using the rules. For those that aren’t, Nexla quarantines them and sends alerts, while the flow continues to process other data.
Data Governance -
Approvals, Lineage, and More
Nexla provides governance built for DataOps. Control overall data access and usage through centralized policies. Nexla detects and tags PII, and provides built-in data masking and hashing as rules. Built-in end-to-end lineage, and complete logging of all configuration, schema, and transform changes are automatically versioned and logged, providing a complete audit trail.
Nexla also integrates with existing governance tools – like Collibra and Alation, workflow and approval tools like ServiceNow, and 3rd party IAM, authorization, and policy systems – to help automate end-to-end governance.
Automated Deployment -
Flow Execution Engines
Nexla has different execution engines to support the many different styles of integration. For example, streaming is deployed to Kafka. ETL can be deployed directly onto Spark. As you build or change a flow, Nexla automatically optimizes it for performance, scale, and efficiency, and deploys it to the best runtime engines. But these different execution engines all share common services, including how they use Nexsets, validation rules, audit logs, lineage, deployment, monitoring, alerting, and more. This enables continuous integration and change. It also makes it easy to deploy and redeploy flows anywhere on premises or in any cloud.
Continuous Monitoring -
Built-in Monitoring
Nexla’s built-in monitoring continuously monitors all data across pipelines, using all events from flows and data validations, to give you complete visibility across operations. As important events arise, including non-breaking and breaking changes to pipelines.Nexla gives you complete control over how to handle each event, from alerting to automating actions. It logs every change to provide a complete audit trail and end-to-end lineage that you can use to identify root causes and fix them without disrupting operations.
