BUILD ONCE USE MANY
One cloud platform for all
data integration use cases
K2view Cloud Data Integration ingests, transforms, organizes, and delivers data by business entity, to fuel a broad range of workloads.

A DATA PRODUCT APPROACH TO DATA INTEGRATION
Ingest and deliver data by business entities
K2view takes a data product approach to cloud data integration. A data product bundles data with everything that’s required to safely deliver it.
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Multi-source data is ingested, organized, and delivered by business entities – e.g., customer, loan, order.
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The schema for a business entity is auto-discovered and auto-classified from the underlying source systems.
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In-flight data masking is applied to ensure that entity data remains secure and compliant.
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Data transformation and enrichment processes are employed.
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ALL DATA INTEGRATION AND DELIVERY METHODS
Any source, to any target, anywhere
K2view integrates data from any data source to any data target, in any format, across cloud and on-premise environments.
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Dozens of pre-built connectors to relational databases, NoSQL sources, legacy MFs, flat files, lakes, and more.
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Supported data integration and delivery methods include bulk ETL, virtualization, streaming, log-based data changes, message-based data integration, and APIs.
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Support for hybrid, multi-cloud and inter-cloud data integration use cases
DATA TRANSFORMATION AND DELIVERY MADE EASY AND LIGHTNING-FAST
No-code data orchestration and transformation
K2view cloud data integration includes no-code tooling for defining, testing, and debugging data transformations.
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Basic transformations: Data type conversions, string manipulations, numerical calculations, data validation.
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Intermediate transformations: Lookup/replace via reference files, aggregations, matching, enrichment, and cleansing.
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Advanced transformations: Complex parsing, unstructured data processing, text mining, and correlations.
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Execute multi-stage orchestration flows across applications and data sources.


DATA DELIVERY
No-code web service generator
K2view cloud data integration includes no-code web service generator used to auto-create, version, test, debug, deploy, and monitor secured web service APIs.
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Generate composite services accessible through APIs or events by assembling them from pre-existing applications, services, and data sources.
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Data services can ingest internal data and external data (e.g., social media, weather data) via inbound API consumption.
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Data engineers can customize the data services via Java.
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Built-in RBAC and ABAC enhance security and simplifies compliance with data privacy regulations
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Unparalleled performance as APIs are executed against in-memory data.
DATAOPS SUPPORT
Observability and change management
Cloud data integration observability and change management capabilities:
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Changes to the micro-DB schema are fully automated and do not require any downtime.
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The data schema for each micro-DB is versioned.
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Fully integrated with GIT (e.g., for data product model management, and data pipeline metadata).
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Deployment and building artifacts can be performed by 3rd party tools to support CI/CD.
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Observing data pipelines via Data/Orchestration Pipeline Monitor.

K2view cloud data integration capabilities
Any data sources
Connectors to hundreds of data sources and applications on-premise and on cloud
Any delivery method
Multiple data delivery styles, including CDC, ETL, streaming, and messaging
No-code/ low-code
No-code and low-code tooling to support varying levels of data engineering expertise
Data transformation
Data transformation of unprecedented sophistication
Auto-discovery
Metadata discovery and data classification accelerate implementation
Data governance
Built-in tools for data governance, lineage, and usage capabilities
Dynamic data masking
Dynamic data masking ensures regulatory compliance
Real-time performance
Manages hundreds of concurrent pipelines, and billions of Micro-Databases