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DataZen offers a simple point-and-click, code-free, data ingestion platform that hides the complexities of managing data movement across hybrid systems. The Data Pipeline architecture provided by DataZen allows you to ingest and publish data from/to virtually any source system either directly, through an Enzo adapter, or any ODBC driver.
Use DataZen to easily replicate your data sources into the cloud to load your data lake store. With support for Azure ADLS 2.0, AWS S3, and Google Cloud along with native Parquet, XML, JSON and CSV file formats, you can quickly build or augment your cloud analytics platforms.
Easily copy data from any source into any target system using point-and-click configuration. Data is automatically transformed into the format that makes sense for the target system.
Built-in fully automatic change detection from any source system, including REST APIs and flat files. Forward the resulting change logs to one or more target systems.
Replay changes captured from any source system on any target system at any time. Exchange captured logs with business partners for easy B2B integration.
The in-line data enrichment pipeline allows you to apply secondary filters, mask data as needed, add dynamic columns, and ensure data quality.
Exchange messages directly or with custom payload formatting between RabbitMQ, Kafka, Azure Event Hub, Azure Message Bus, AWS SQS, MSMQ, and Google PubSub with ease.
Call any REST API and authenticate with OAuth 2.0, Bearer Token, Basic Auth, and more. Built-in paging, high watermark tracking, and JSON/XML flattening simplify HTTP data ingestion to any target system.
Architecture overview, job configuration settings, options, and monitoring.
Online User GuideView the online documentation for our HTTP API allowing you to manage replication jobs.
View Documentation
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