Parse multi-structured and industry-standard data on Hadoop, including industry standards,documents, log files, and complex file formats.
Parse a variety of industry standards, documents, log files, and complex file formats in Hadoop
Use pre-built parsers or create customer parsers with Big Data Parser Studio, then test parsing transformations on sample data
Supports multiple industry standards (for example FIX, SWIFT, NACHA, SEPA, ACORD, HIPAA, HL7, EDI, ASN.1)
Extract data from binary documents such as Microsoft Office and Adobe PDF on Hadoop
Process deep hierarchical data structures such as XML and JSON formats on Hadoop
Parse and extract data from a variety of log files (web, call-detail records, mainframe, and proprietary) on Hadoop
Process parsing transformations regardless of data format or size that scale with the topology of the Hadoop cluster
Data integration, data governance, and data security on Hadoop.
Collaboratively transform raw big data into trusted information assets that deliver business value to the right people at the right time.
Discovers relationships among parties and groups them to create a 360-degree view.
Built on fast brokerless messaging technology that helps you manage many small pieces of incoming streaming data.
Western Union built a data platform based on Hadoop and Informatica Big Data Edition
UPMC used a collection of Informatica products to improve research outcomes in the quest to cure various diseases
BNY Mellon accelerated a successful merger using Informatica’s real-time integration products