Informatica Corporation (INFA), the world’s number one independent provider of data integration software, today announced that it has made Informatica HParser, the first data transformation environment optimized for Hadoop, available to customers in the cloud, with Amazon Web Services (AWS).
“Customers are faced with a wide variety of data formats in today’s analytics workflows, so we’re excited about the integration of Informatica HParser with Amazon Elastic MapReduce,” said Peter Sirota, General Manager of Amazon Elastic MapReduce (EMR). “Customers can now work with complex data in an easy to use environment, and ask questions of those data at any scale on AWS.”
Informatica HParser is available to all Amazon EMR customers, and provides immediate access to data parsing, hierarchical data mapping and transformation tools which aim to make it easy for organisations to find value in their data using skills and resources they have today. Leveraging the power of the Hadoop framework on Amazon EMR, customers can quickly provision the resources they need for their analytics pipelines, without large capital investment or complex software configuration, paying only for the resources they consume.
HParser on Amazon EMR makes it substantially easier, faster and less costly to prepare structured and unstructured data for analysis. It does this by enabling access to all data formats and structures in a visual build-by-example environment, with out-of-the-box support for logs and binary formats, and with packaged data transformations for industry formats including ACORD, FIX, SWIFT, HL7 and EDI.
The unique advantages of HParser on EMR include:
• Commercial support for parsing and transforming data from the leader in enterprise data integration.
• Ability to handle complex datasets and transformations using Hadoop in the cloud.
• Visual IDE for testing out-of-the-box parsers and developing custom parsers.
• Rapid building, testing and provisioning of Hadoop data processing pipelines.
• No risk trial of HParser on Amazon EMR through the use of sample datasets.
“We look forward to continuing to work with AWS in empowering customers to maximize their return on big data,” said Girish Pancha, executive vice president and chief product officer, Informatica. “Amazon EMR provides an excellent avenue for big data processing on Hadoop, and HParser brings to it enterprise-grade parsing and mapping of complex data sets, such as logs, documents, hierarchical data and other industry standard formats. HParser on Amazon EMR, HParser will help make data integration and analytics easier, faster and cheaper for our customers.”