You are here:  Home  >  Data Education  >  BI / Data Science News, Articles, & Education  >  BI / Data Science News  >  Current Article

Talend Unveils Industry’s First Cloud-Native, Apache Beam-Powered Streaming Data Application

By   /  May 9, 2018  /  No Comments

by Angela Guess

A new press release states, “Talend, a global leader in cloud and big data integration solutions, unveiled Talend Data Streams, a free, Amazon marketplace application that simplifies and accelerates ingestion of massive volumes and wide varieties of real-time data. Released today at Talend Connect US, the company’s annual customer and partner conference taking place in New York, Talend Data Streams provides self-service access to real-time data for engineers, data scientists, data analysts and other ad hoc integrators. The AWS-based, single-user application will eventually become part of Talend’s existing suite of persona-based, cloud applications that enable everyone to work with trusted data.”

The release continues, “A recent survey of more than 16,000 data professionals showed that the most common challenges to data science include: dirty data (36%), lack of management support for data science teams (27%), lack of clear direction to pursue with available data (22%), and overall access to or availability of data (22%).1 Talend Data Streams helps overcome these challenges by allowing data scientists, engineers and other analysts to: (1) Jump-start data integration with a zero-install, management-free, web-based UI that has users up and running in minutes. (2) Rapidly ingest massive volumes of disparate, streaming and cloud data without complexity. (3) Accelerate pipeline development with a unique live-preview feature that displays changes in real-time. (4) Break the legacy cycle and extend the life of all data pipelines with the un-paralleled portability across cloud platforms powered by Apache Beam.”

Read more at Globe Newswire.

Photo credit: Talend

You might also like...

Data Science in 90 Seconds: Support Vector Machines

Read More →