Data Pipelining.

Make your data lakes and DWHs analytics-ready, and cut the time to insights, with K2View's data pipelining tools.


K2View Data Pipelining:
Complete, clean, and connected data

Now data engineers can pipeline fresh, trusted data,
from all sources, to all targets, at enterprise scale.

Benefit from a complete set of data pipeline tools

Integrate, transform, cleanse, enrich, mask, and deliver data - however and whenever required.

Ensure data integrity with our patented technology

Entity-based approach guarantees your data is always complete, clean, connected, governed, and up-to-date.

Productize data pipeline flows for your data teams

Build, certify, and package automated data orchestration flows to be used by your data-consuming teams.

Our unique approach:
Data is prepared and delivered
by real-time data products


Unlike traditional ETL and ELT tools that rely on complex and compute-heavy transformations to deliver disjointed data, K2View Data Pipelining tools move data by integrated business entities, ensuring data integrity, high-speed pipelines, and agility.

A data product schema captures all attributes from all your source systems, for each of your business entities such as a customer, product, order, or location. The platform provides you with tools to auto-discover and quickly modify your data product schemas.

Data engineers then use our no-code platform to integrate, cleanse, enrich, mask, transform, and deliver data by integrated entities enabling lightning-fast querying in data lakes, without complex, and compute-intensive joins between tables.

And there's more. Since data is continually collected and processed by entity, it can also be delivered to your operational systems in real time, to support customer 360, operational intelligence, and other uses.


See K2View Data Pipelining in action

K2View Data Pipelining gives data engineer a complete toolset to deliver fresh, complete, and trusted data for analytics.

Why K2View Data Pipelining

Patented approach to ETL/ELT that ensures data integrity,
high-performance pipelines, and agility

EDP benefits-1

Accelerate time to insights by automating data pipelines

Data pipeline flows can be set up, tested, and packaged for reuse, and can automatically be invoked to operationalize data preparation, and accelerate time to insights.

Data scientists can roll back to previous sets of data, and access any historical version of that data, at the click of a button.

Data engineers use K2View Data Pipelining tools to configure and automatically apply data cleansing, transformations, enrichments, masking, and other steps crucial to high-quality data preparation.

K2View Data Pipelining ingests and delivers data in any data integration method: from batch, to data streaming (Kafka), to CDC (Change Data Capture), and messaging. 

Keep your data safe
and well-governed

K2View Data Pipelining tools dynamically mask sensitive data at the entity level – preserving data integrity, even after masking.

In addition, data is encrypted from the time it is ingested from the source systems to the moment it is served to data lakes and data warehouses, including data at rest.
K2View Data Pipelining is based on the company's Data Product Platform, which supports both operational and analytical workloads, and can be deployed in a data mesh or data fabric – on premises, in the cloud (iPaaS), or across hybrid environments.

It can be deployed in a cluster – close to sources and targets – to reduce bandwidth costs, enhance security, and increase speed.

Data pipelining
tools and capabilities

  • Collect, process, and serve data by business entity.
  • Ingest and unify data from all sources while ensuring data integrity.
  • Discover and visualize data lineage with built-in data catalog.
  • Transform, clean, enrich and mask data via reusable functions.
  • Encrypt data from source until it is served to the data lake.
  • Automate and productize data preparation flows .
  • Deliver data to lakes and DWHs in real time, via a schedule, or on demand.
  • Deploy hybrid and multi-cloud environments.

Enterprise Data Pipelining architecture

K2View's modular data pipeline architecture supports massive-scale, hybrid, multi-cloud, and on-premise deployments. It ingests data from all source systems in real time, and delivers it to all types of data lakes and data warehouses.

Learn more about
K2View Data Pipelining

ETL vs. ELT vs. eETL
Make your data lakes and warehouses instantly and always ready for analytics
K2View Enterprise Data Pipeline Product Brief