A new press release states, “Infoworks, the leading provider of agile data engineering software platforms, today announced the release of Infoworks’ Autonomous Data Engine (ADE) 2.4, the latest release of the company’s end-to-end automated software platform for agile data engineering. Infoworks ADE automates the entire data engineering process, from the data source to the point of consumption by analytics applications, delivering the agility required for businesses to easily and quickly handle new analytics use cases, new data driven applications, and new data sources, on-premises and in the cloud. ‘Infoworks’ latest release expands the limits of what is possible on big data environments today,’ said Ramesh Menon, VP of Products at Infoworks. ‘Our new capabilities dramatically simplify the implementation of big data use cases and deliver analytics agility to enterprises. With Infoworks Autonomous Data Engine, enterprises can build and launch analytics use cases into production ten to one hundred times faster while using one-tenth of the resources required by any alternate approach’.”
The release goes on, “The new features and capabilities added to the Infoworks Autonomous Data Engine include: (1) Real-Time Streaming Data Ingestion: Infoworks has added support for ingestion and processing of real-time, streaming data from a variety of data sources using streaming platforms such as Apache Kafka. Customers can now deploy new use cases including IoT, real-time fraud analytics, offer targeting, and more. Coupled with new platform capabilities such as the continuous CDC and merge capabilities, streaming data is continuously available for analytics with the Infoworks platform. (2) Automated Continuous CDC and Merge Process for Data Ingestion: Infoworks now allows data engineers with minimal to no Hadoop experience to quickly ingest source data and keep the data continuously synchronized into big data and cloud environments. Infoworks fully automates the handling of source data/schema changes as well as slowly changing dimensions (SCD Type I & II) from a variety of data sources including Oracle, Teradata, SQL Server and others without requiring hand coding.”
Read more at PR Newswire.
Photo credit: Infoworks