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Data preparation tools that
make your data lakes and DWHs
always ready for analytics

Data Preparation Hub
from self-service to automation


K2View data preparation tools take the grunt work out of data science by delivering
ready-to-use, clean, and complete data that you can trust and immediately use to generate insights

Complete set of data preparation and delivery tools

Data integration, transformation, cleansing, enrichment, masking, and  more.

Patented approach ensures data integrity

Your data is always complete, clean, connected, governed, and up to date.

Reusable 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

K2View Data Preparation Hub allows you to define a Digital Entity schema that captures all the attributes for a given business entity (like a customer or an order), across all source systems, and provides you the tools to prepare and deliver the data as an integrated entity.

K2View Data Preparation Hub, which is built on K2View Data Fabric, collects data from source systems, cleanses it, enriches, masks, and transforms it according to predefine rules, and delivers it safely to any big data store.

Collecting, processing, and pipelining data by business entity ensures data integrity, giving your data teams quick, easy, and consistent access to the data they need.

You always get insights you can trust because you have data you can trust.

Why K2View Data Preparation Hub

Our data preparation tools take the grunt work out of data science by delivering ready-to-use, clean and complete data you can trust

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Data preparation automation accelerates time to insights

K2View Data Preparation Hub keeps your data lakes and data warehouses in sync with your data sources, based on data sync rules you define.

You can configure and automatically apply data filters, transformations, enrichments, masking, and other steps crucial to quality data preparation.

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

Data scientists can also reproduce previous sets of data and access any historical version of that data.

Data changes can be ingested into your data stores in any data delivery method of your choice: from bulk (ETL), to data streaming, to CDC (Change Data Capture), and messaging.

So, your data is always complete, up-to-date, and consistently and accurately prepared, ready for analytics and operational workloads.

Your data is always
governed and safe

K2View Data Preparation Hub dynamically masks sensitive data from different systems 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, increase speed through encryption, and compression.

Data preparation tools
and key 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 operationalize data preparation flows
  • Deliver data to lakes and DWHs in real-time, schedule, or on demand
  • Hybrid and multicloud deployment options

Data Preparation Hub Architecture

K2View data preparation architecture is modular and supports massive scale, hybrid, mulicloud 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 on
K2View Data Preparation Hub

See K2View Data Preparation Hub in action
Making Data Preparation Easy, Foolproof, and Fast
K2View Data Fabric: Big data management without integration thanks to ETL, SQL and more