iWay Big Data Integrator: Modern, Native Hadoop Integration
iWay Big Data Integrator simplifies the creation, management, and use of Hadoop-based data lakes. It provides a modern, native approach to Hadoop-based data integration and management that ensures high levels of capability, compatibility, and flexibility to help your organization.
iWay Big Data Integrator provides a simple interface for Hadoop and Spark data ingestion, transformation, CDC, enrichment, and cleansing of Big Data Sources. It can ingest data from structured relational data sources (RDBMS), defined Hadoop, and other NoSQL sources and file formats (Hive, Avro, sequence file, snappy compressed CSV, etc.). It can also capture and handle event or streaming events sent via Apache Kafka, Flume and Spark streaming to enrich, or combine or cleanse event data.
iWay Big Data Integrator is designed to work seamlessly with all our integration and integrity products.
You’re invited to try a six-month limited developer's edition of iWay Big Data Integrator (iBDI), software that can help you collect and manage your big data faster and more efficiently.
Ingest and Transform Natively With Hadoop
iWay Big Data Integrator supports contemporary Hadoop solutions, ensuring high portability. It ingests and cleanses traditional, mobile, social media, sensor, and other data in batch or streams, using native Hadoop facilities. It also runs under YARN, taking advantage of native Hadoop performance and resource negotiation, and leverages the Spark processing engine.
Cleanse Data for Higher Value
Enhance iWay Big Data Integrator with iWay Data Quality Server, which is an essential tool for complex data quality management. It provides the ability to do data profiling, analysis, enrichment, merging, and cleansing from native Hadoop sources and file formats (Hive, Avro, sequence file, Snappy-compressed CSV, etc.)
Watch our latest video and see how you can collect and manage your big data faster and more efficiently with iWay Big Data Integrator
Support a Variety of Big Data Integration Use Cases
Whether installed in-house or in the cloud, users can choose Sqoop for data replication, capture, and export; Flume and Spark for streaming and unstructured data acquisition; and iWay Service Manager for ingestion of non-Hadoop data (e.g., transactions, messages, alternate data sources) - all running natively in the cluster.
Reduce the Need for Extensive Training or Knowledge of Hadoop
iWay Big Data Integrator includes a simplified, easy-to-use interface, so companies need fewer people to manage big data deployments. Hadoop developers can spend less time coding and debugging.
iWay Big Data Integrator leverages Kerberos security and encryption, and adds sophisticated process management and governance to the Hadoop ecosystem.
Enable Broader Usage of Big Data
Organizations will find that the flexibility and power of iWay Big Data Integrator helps them leverage their Hadoop implementations to improve operational excellence, increase customer intimacy, manage risk more effectively, and find new sources of revenue.
For a no-obligation demonstration of iWay Big Data Integrator, or to find out more, contact us using this form.
Ingestion with the Sqoop Wizard
Ingestion with Sqoop and Flume becomes simple -- even changed data capture (CDC) is as simple as selecting a drop-down option.