Information Builders, a provider of business intelligence (BI) and analytics, information integrity, and data integration solutions, has unveiled its iWay Hadoop Data Manager – a native approach to Hadoop-based data integration and management that would ensure high levels of capability, compatibility and flexibility.
Quite some organizations would struggle with making Hadoop the centerpiece of their big data strategy because of the cost and knowledge base of developer tools, user interfaces and professional skills required for the environment. In addition, organizations must ensure Hadoop can extend, reinforce or replace existing BI and data warehousing strategies and tools, but need clarity on which approach is best.
iWay Hadoop Data Manager would provide a “simplified, easy-to-use” interface to generate portable, reusable code for data integration tasks in Hadoop, including data ingestion, transformation and cleansing. By eliminating Hadoop coding, it would enable a more rapid response to business requirements using less-expensive skill sets.
Modern data integration often requires rapid ingestion of data into a data lake from varied data sources, while minimizing the impact on their performance. iWay Hadoop Data Manager hides the complexity of data ingestion, replacement, and de-duplication using Sqoop, Flume, and Information Builders’ iWay Service Manager – without programming.
“Organizations don’t have to be left wondering if their big data integration choices are limited to complex native scripting on one hand and non-Hadoop tools on the other,” said Gregory Dorman, senior vice president and general manager of iWaySoftware. “With iWay Hadoop Data Manager, complexity, cost and training are reduced to provide businesses much more sophisticated big data integration that sets the course for future success.”