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Suzanne Kattau

Suzanne Kattau (formerly Suzanne Harnos) is Editor at SiliconANGLE where she focuses on cloud technology, consumer news and trends. She is a veteran computer journalist based in New York. Previously, Suzanne was an associate editor at BZ Media’s Software Development Times. Before that, she was an online editor at Ziff Davis Enterprise’s eWEEK and technical editor at CMP Media’s InternetWeek. She graduated from Hofstra University with a Bachelor’s degree in English.


Latest from Suzanne Kattau

The encryption process behind Parallels’ new business app

Parallels, a hosting and cloud services enablement and cross-platform solutions provider, today introduced Parallels Access for Business which enables IT admins to centrally assign, manage and secure remote access to their users’ computers. Designated admins can create a business account, manage access …

Why OpenStack doesn’t need a vendor to lead it

The young-but-growing OpenStack ecosystem consists in part of vendors who seem content to work together forever as one big happy, code-sharing family. But the reality is, they’re all lined up at the proverbial starting line, secretly jockeying for position in a race …

Datameer 4.0 visualizes data quality in Hadoop

Datameer, maker of self-service analytics software for Hadoop, today pulled the curtains back on Datameer 4.0, the latest version of its namesake platform. Datameer 4.0 introduces the ability for data scientists and data analysts to examine results throughout all of the stages …

Jaspersoft and MapR team up for business intelligence on Hadoop

Competition is heating up in the Hadoop ecosystem as the pure-play distributors move up the stack to address the expanded enterprise checklist for Big Data. With customers shifting their focus from the underlying technologies that make analytics possible to meeting business goals, …

Wise.io bags $2.5M to democratize predictive analytics

As the very definition of IT broadened over the last few years, data has become too vast for humans to manage manually, let alone analyze and act upon in real time. Organizations are increasingly applying Machine Learning to address the expectation gaps that …

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