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Data Pipelining

Get your big data stores AI-ready – with complete,
protected, and fresh data – for quicker time to insights.

Pipeline by business entities

Pipeline data by business entities

Data pipeline tools: Integrate and transform data

Integrate and transform data

Data pipeline tools: Support all delivery modes

Support all delivery modes

Data pipeline tools: Operationalize data pipelining

Operationalize data pipelining

Data pipeline tools: Govern and comply

Govern and comply

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Data Pipelining Tools - for data lakes and datawarehouses

DATA PIPELINING via generative DATA PRODUCTs

Complete, compliant, current data – every time

A generative data product approach to ETL/ELT ensures high-performance data pipelines, data integrity, and business agility. Data engineers can now prepare and deliver fresh, trusted data, from all sources, to all targets, at AI speed and scale.

Data product approach to data pipelining

Say goodbye to traditional data pipeline tools.

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Prepare and deliver data
with generative data products

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OPERATIONALIZING DATA PREPARATION AND DELIVERY

Accelerate time to insights

Data pipeline ingestion, processing, and transformation flows can be configured, tested, and packaged as data products. The data products can be reused to operationalize data preparation, and accelerate time to insights.

  • Configure your data ingestion and delivery pipelines – cleansing, transforming, enriching, and governing the data – as needed.

  • Support all your operational data sources and analytical data targets with one solution.

  • Automate the creation of data ingestion logic using the data product schema.

 

Operationalizing data pipelines
Data pipeline tools: data governance

DATA GOVERNANCE: FEDERATED OR CENTRALIZED

Keep your data safe and well-governed

  • Mask sensitive data inflight, while preserving data integrity, to adhere to data privacy and security regulations.

  • Cleanse the data in real time, to ensure data quality.

  • Encrypt data from the time it is ingested from the source systems, to the moment it is served to data lakes and data warehouses.

  • Leverage for both operational and analytical workloads, in a data mesh or data fabric – on premises, in the cloud (iPaaS), or across hybrid environments.

  • Deploy in a cluster – close to sources and targets – to reduce bandwidth costs, enhance security, and increase speed.

ANY SOURCE, TO ANY TARGET, ANYWHERE

All data integration and delivery methods

K2view prepares and pipelines data from any data source to any data lake or data warehouse, in any format, across cloud and on-premise environments.

  • Dozens of pre-built connectors to hundreds of relational databases, NoSQL sources, legacy mainframes, flat files, data lakes, and data warehouses.

  • Supported data integration and delivery methods include bulk ETL, reverse ETL, data virtualization, data streaming, log-based data changes, message-based data integration, and APIs.

Data pipeline tools: any source to any target
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Augmented Data Transformation

Save time and resources with AI

An AI-driven copilot provides contextual recommendations for implementing transformations, cleansing, and orchestration. It automates:

  • Data pipeline generation and documentation
  • Text-to-SQL conversion
  • Data classification
  • Data product schema modeling

DATA PIPELINE TOOLS

Massive-scale, multi-cloud,
and on-premise deployments

K2view Data Pipeline supports massive-scale, hybrid, multi-cloud, and
on-premise deployments. It ingests data from all source systems and delivers it to all data lakes and data warehouses.

 
Data pipeline tools: architecture

DATA PIPELINE TOOLS

Data pipeline tools and capabilities

Business entity approach

Collect, process, and serve data by business entity.

Referential integrity

Ingest and unify data from all sources while ensuring data integrity.

Data governance

Discover and visualize data lineage with a built-in data catalog.

Data orchestration

Transform, clean, enrich and mask data via reusable functions.

Data security

Encrypt data from source until it is served to the data lake.

Data preparation

Automate and productize data preparation flows.

Real-time data delivery

Deliver data to lakes and DWHs in real time, via a schedule, or on demand.

Flexible deployment modes

Deploy in hybrid and multi-cloud environments.

Learn more about data pipelining

K2View Data Products

THE COMPLETE HANDBOOK

Data Products 101: What is a data product, and why you should care

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Next-gen ETL/ELT data delivery

whitepaper

Next-gen ETL/ELT data delivery

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K2View Data Product Platform

TECHNICAL DEEP -DIVE

K2View Data Product Platform

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