Nexsets: Building Blocks for Modern Data

Automated, Logical Data Containerization for DataOps

Turn raw data into usable data with Nexsets
Nexsets are logical entities encapsulating complete understanding of data. They don't contain copy of data. Nexsets abstract data heterogeneity, so that data users get a consistent interface to data regardless of schema, format, and velocity of data.


Raw data - organized, validated, ready to use

Simply provide data credentials to automatically get Nexsets. Neatly organized with schema, samples, descriptions, annotations, ratings, and more. Easily find data, share Nexsets, apply validations, and benefit from automated error management.

Powered by Continuous Intelligence

Nexsets are auto-generated by a continuous intelligence process that analyzes data at record-level. Resulting data characteristics and metadata provide a logical view that abstracts the underlying heterogeneity of data and provides a consistent interface to data regardless of source, format, and velocity.

Data organized by Schema

Nexsets are not a copy of data but a way to look at data organized by schema. Continuous intelligence means you don’t get only a stale, point-in-time view of the schema. Instead, the schema is continuously updated and automatically versioned in Nexla.

Collaboration: Making Data Usable by Everyone

Nexsets provide the collaboration foundation that exposes a consistent interface for different stakeholders to work with data and collaborate. This means the same Nexset or a derivative Nexset can be used by teams for data science, business operations, data engineering, data governance and other use cases.

Data Sharing

Nexsets are shareable. This means that much like a Google Doc, multiple users and stake holders can now collaborate on data. Sharing is allowed between individuals, teams, and also across organizations, making data sharing a snap.

Learn more about Data Sharing and Exchange in this ebook.

Schema-free Operations on Data

Nexsets abstract data from its source format, whether source data was CSV, JSON, XML, Parquet, a document, or an image attached to an email. This means users can now integrate, prepare, engineer, and serve the data regardless of its source format. Converting data from one format to another, or combining heterogenous data from various sources is now a snap for any user.

Create New Nexsets in Minutes

Nexsets are auto-generated from source when credentials are provided. Nexla’s no-code UI and low-code Python and Javascript code snippets make it easy to transform, filter, and join Nexsets to create new Nexsets.

 Nexset + Operations(Transform, Filter, Join, etc.) = New Nexset

This is a very powerful construct in Nexla as every Nexset provides the same powerful interface to data with validations, error management, sharing, etc.

Nexsets Power Data and API Integrations

Point Nexsets to an API, a database, a data warehouse, a stream or a file-store and automatically get no-code integrations with format conversion, scheduling, data validation, and complete data operations. At any time go power user mode yourself or invite an engineer to use Nexla APIs or Nexla CLI (command-line interface) to export, import, migrate, and replicate these pipelines with full flexibility.

Nexsets: Building Blocks for Modern Data

Request a demo to see Nexsets in action