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Next Pathway Enhances Capabilities to Ingest Structured and Unstructured Data into Cloud-native Formats

By   /  August 2, 2018  /  No Comments

A recent press release reports, “Next Pathway, a leading provider of enterprise Big Data and Digital Transformation software, launched the latest release of its leading metadata-driven data ingestion engine, Cornerstone 4.0. This version allows users to ingest all data types directly into native cloud storage formats, including support for Google Cloud Platform, Amazon Web Services, and Microsoft Azure. Cornerstone 4.0 builds upon the self-service capabilities of the platform, including the following cloud-based enhancements: Two-way encryption to support enterprise access control methods; Batch ingestion adapters for Google Cloud Storage, Azure Data Lake Storage, and AWS S3 for the following file formats: COBOL, XML, Delimited, Fixed-Length, JSON; Enhanced enterprise cloud-based security integration; Enhanced multi-cluster metadata management.”

The release goes on, “Cornerstone is part of Next Pathway’s portfolio of Big Data and Digital Transformation software, which also includes SHIFT, an automated code translation engine that allows users to convert legacy code into modern languages to run natively in the cloud; FUSE, which automates the enrichment and transformation of data inside of Big Data environments; ARRAY, which helps organizations expose back-end services automatically via a service-oriented architecture; and MERCURY, which automates microservices development, helping organizations modernize their monolithic applications. Cornerstone 4.0 is available immediately.”

Read more at NextPathway.com.

Photo credit: Next Pathway

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