Big Data Parser

Increase productivity with pre-built parsers on Hadoop for industry standards and complex file formats.


Key Features

Parse multi-structured and industry-standard data on Hadoop, including industry standards,documents, log files, and complex file formats.

Access and parse complex data

Parse a variety of industry standards, documents, log files, and complex file formats in Hadoop

Visual development environment

Use pre-built parsers or create customer parsers with Big Data Parser Studio, then test parsing transformations on sample data

Supports multiple industry standards

Supports multiple industry standards (for example FIX, SWIFT, NACHA, SEPA, ACORD, HIPAA, HL7, EDI, ASN.1)

Binary document extraction on Hadoop

Extract data from binary documents such as Microsoft Office and Adobe PDF on Hadoop

Process hierarchical structures on Hadoop

Process deep hierarchical data structures such as XML and JSON formats on Hadoop

Parse log files on Hadoop

Parse and extract data from a variety of log files (web, call-detail records, mainframe, and proprietary) on Hadoop

Elastic scaling

Process parsing transformations regardless of data format or size that scale with the topology of the Hadoop cluster

Customer Success Stories

Western Union

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

BNY Mellon accelerated a successful merger using Informatica’s real-time integration products

Related Products & Solutions

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Enterprise Data Lake

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Relate 360

Ensure the success of big data analytics projects by uncovering accurate relationships among connected data.

Edge Data Streaming

Efficiently manage all forms of streaming data so you can analyze and act on it while it's still fresh and relevant.

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