Overview
What is K2View Enterprise Data Pipeline?
K2View, headquartered in Dallas, offers an Enterprise Data Pipeline, a tool designed to make data lakes and DWHs analytics-ready. K2View data pipeline tools aim to enable data engineers to pipeline fresh, trusted data from all sources to all targets, at…
Recent Reviews
Leaving a review helps other professionals like you evaluate Data Pipeline Tools
Be the first one in your network to review K2View Enterprise Data Pipeline, and make your voice heard!
Get StartedProduct Details
- About
- Integrations
- Tech Details
What is K2View Enterprise Data Pipeline?
A data pipeline automation tool, the data engineers can use K2View Enterprise Data Pipeline to configure and automatically apply data cleansing, transformations, enrichments, masking, and other steps crucial to high-quality data preparation.
Data pipeline 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 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.
The vendor states that in contrast to ETL and ELT tools that rely oncomplex, rigid, and compute-heavy transformations on database tables to deliver clean data into lakes and data warehouses, K2View Enterprise Data Pipeline pipelines data by business entities. Its patented entity-based ETL (eETL) technology assures high-speed data pipelines with data integrity, low compute and network bandwidth consumption, and the agility to adapt pipelines in minutes.
Data pipeline 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 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.
K2View Enterprise Data Pipeline dynamically masks sensitive data at the entity level – to preserve 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 pipeline architecture is modular and supports 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.
K2View Enterprise Data Pipeline Integrations
K2View Enterprise Data Pipeline Technical Details
Operating Systems | Unspecified |
---|---|
Mobile Application | No |