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Talend Improves Unstructured Data Insights with Google Cloud

By   /  August 23, 2017  /  No Comments

According to a recent press release, “Talend (NASDAQ: TLND), a global leader in cloud and big data integration solutions, introduced a comprehensive set of connectors for its Talend Data Fabric integration platform that help customers quickly ingest, process, enrich, and clean data to execute high-performance, analytical queries in the cloud and stream accurate business insights in real-time. Talend’s native connectivity to numerous Google Cloud services accelerates the development of cloud data pipelines, allowing customers to analyze structured and unstructured data sources for meaningful, actionable information.”

The PR continued with, “IDC once reported the digital universe was doubling in size every two years, but the increasing pace of digitalization is now causing data creation to double in shorter intervals than ever before. As a result, Gartner research says up to 80 percent of enterprise data is now unstructured, meaning it’s comprised of file types such as video, audio files, and social media postings that can be harder to analyze for impactful insights.

And, “’While sifting through vast amounts of information can seem daunting and resource intensive, there are a greater number of rewards to be gained by doing so. Analyzing large sets of unstructured data enables organizations to identify correlations between completely unrelated data sources and find patterns that can uncover competitive advantages,” said Laurent Bride, CTO, Talend. “By combining Talend solutions with Google Cloud Platform, enterprise IT teams can derive powerful insights from previously siloed, inaccessible data sources. In turn, this helps our joint customers rapidly innovate in emerging areas such as sentiment analysis and machine learning.’”

Read more here.

About the author

Charles Roe is the Digital Content Manager at DATAVERSITY. He is responsible for both the article and blogging programs, as well as the DATAVERSITY Training Center. He has been a professional freelance writer and copy editor for more 15 years, and has been writing for the Data Management industry since 2009. Charles has written on a range of industry topics in numerous articles, white papers, and research reports including Data Governance, Big Data, NoSQL technologies, Data Science, Cognitive Computing, Business Intelligence & Analytics, Information Architecture, Data Modeling, Executive Management, Metadata Management, and a host of others. Charles is backed with advanced degrees in English, History, and a Cambridge degree in Language Instruction. He worked for almost 20 years as an instructor of English, History, Culture, and Writing at the college level in the USA, Europe, and Turkey. He writes creatively in his spare time.

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