Press Release



Information Builders, a leader in business intelligence (BI) and analytics, data integrity, and integration solutions, announced the release of a Developer's Edition of its iWay Big Data Integrator. This limited edition enables developers to test the features of Hadoop® and Apache Spark™ for their big data integration projects without the need for extensive knowledge or training in Hadoop, and accelerate time to value for big data projects.

Organizations have access to more data than ever before to improve operations and boost profitability. However, due to the many technical obstacles that can arise – such as the complexity of Hadoop and the challenges of managing data quality – a majority of big data projects fail. iWay Big Data Integrator addresses these fundamental challenges by enabling organizations to take a modern, native approach to Hadoop-based data integration and management with an intuitive interface that allows you to move data in and around Hadoop without custom coding or scripting.

Key product highlights include:

  • Simplified ingestion, replacement, and de-duplication of data sets using pipelines or native Spark, Flume support, and other techniques ­– all without programing
  • Native Hadoop performance and resource negotiation by running under YARN's cluster management technology
  • Support for a variety of big data integration use cases, including structured, defined, and streaming sources in batch and real-time via Spark and Hadoop
  • Spark data operations allow organizations to shape data, while Hive and HQL transformations enable you to modify or join tables
  • Improved security and encryption, with sophisticated process management and governance to the Hadoop ecosystem

With iWay Big Data Integrator, real-time and static big data sources can quickly be integrated, contextualized, and analyzed, allowing organizations to capitalize on the data's potential, support downstream business processes, identify opportunities for data monetization, and enrich customer relationships.


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