Big Data Integration

Modern big data integration often requires rapid ingestion of data into a data lake from varied sources, while minimizing the impact on their performance. Big data integration takes traditional data, machine-generated data, social media, web data, and data from the Internet of Things (IoT), and combines it to provide the most complete view of your business, driving the insights you need to boost performance. Big data integration, along with data quality standards, allows you get the most from your big data and ensures interoperability.

Most likely, Hadoop is your go-to ecosystem for your big data integration projects, because it’s a scalable data processing platform that can manage large amounts of information. However, programming in Hadoop is complex, and skilled professionals are hard-to-find and expensive.

A powerful and broad-reaching data integration framework can help. Initially, a data integration tool may require some additional investment. But down the road it will allow for much faster (and far less expensive) execution of Hadoop initiatives by accelerating the movement of data into Hadoop and drastically reducing the amount of coding required to manage it. Furthermore, data integration talent is easier to find, and far more affordable, than the Hadoop, Hbase, and other developers who would be otherwise needed.

iWay Big Data Integrator helps organizations by supplying a modern, native approach to Hadoop-based data integration and management that ensures high levels of capability, compatibility, and flexibility. This robust integration platform enables organizations to support any kind of Big Data Integration use case by incorporating Sqoop for data replication, capture, and export; Flume for streaming and unstructured data acquisition; and iWay Service Manager for ingestion of non-Hadoop data (e.g., transactions, messages, Internet of Things (IoT) data, alternate data sources) - all running natively in the cluster.

Support a Variety of Big Data Integration Use Cases

Data sources outside the enterprise have a large impact on decision-making. Some typical use cases include the following: Integrating data from external sources, standardizing data sets for continuity, providing value from contrasting data sources, and integrating data from the Internet of Things (IoT).

Enable Broader Usage of Big Data

iWay Big Data Integrator helps organizations deal with these questions by supplying a modern, native approach to Hadoop-based data integration and management that ensures high levels of capability, compatibility, and flexibility. With iWay Big Data Integrator, organizations can improve operational excellence, increase customer intimacy, manage risk more efficiently, and find new sources of revenue.

Operationalize Big Data Insights

Whether you are trying to harness the value of machine-generated, location, social media, or web monitoring data, our BI and big data analytics solutions help you exploit the value in each source by spotting trends and generating big data insights. From sophisticated tools for data scientists to InfoApps for non-technical users, big data analytics can be available to one and all.

To find out more about our big data integration solutions, call 800-969-INFO or contact us using this form