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Make your data lakes and
DWHs analytics-ready
with data pipelining tools

Data Preparation Hub:
Complete, clean, and connected data


K2View data preparation tools enable data engineers
to pipeline fresh, trusted data from all sources to all targets, at enterprise scale

Benefit from a complete set of data preparation 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 preparation 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 business entities

Unlike traditional ETL and ELT tools that rely on complex and compute-heavy transformations to deliver clean data into lakes and DWHs, K2View Data Preparation Hub moves data by business entities, ensuring data integrity, high-speed pipelines, and agility.

A Digital Entity schema captures all attributes from all your source systems, for each of your business entities like a customer, product, order, location. The platform provides you with tools to auto-discover and quickly modify your Digital Entity 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 business 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 Preparation Hub in action

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

Why K2View Data Preparation Hub?

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

data prep

Accelerate time to insights by automating data preparation

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

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

Data is ingested into your data stores in any data delivery method: from batch, to data streaming (Kafka), to CDC (Change Data Capture), and messaging. 

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

Keep your data
governed and safe

K2View Data Preparation Hub dynamically masks 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 system to the moment it is served to data lakes and data warehouses, including encryption of data at rest in the data fabric.
 
K2View data preparation architecture is modular and supports massive scale, on-premise, cloud, and hybrid deployments. It ingests data from all source systems in real time and delivers it to all types of data lakes and data warehouses.
 
It is deployed close to source and close to target to reduce bandwidth costs, ensure security, and increase speed through encryption, and compression.

Data preparation 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, schedule, or on demand
  • Deploy hybrid and multi-cloud environments

Data Preparation Hub architecture

K2View's modular data preparation 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 Preparation Hub

ETL vs. ELT vs. eETL
Making Data Preparation Easy, Foolproof, and Fast
DPH PB
K2View Data Preparation Hub Product Brief