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Qubole Unveils First Autonomous Data Platform in the Cloud at Data Platforms 2017

By   /  May 29, 2017  /  No Comments

by Angela Guess

A recent press release reports, “Qubole, the big data-as-a-service company, today announced it is building the industry’s first autonomous data platform. This next-generation data platform includes three new products: Qubole Data Service (QDS) Community Edition, QDS Enterprise Edition and QDS Cloud Agents. The solution can intelligently automate and analyze platform usage to make data teams more effective. Qubole’s new platform and products are being demonstrated at Data Platforms 2017, the industry’s first conference focused exclusively on helping data teams build modern, self-service big data platforms.”

The release goes on, “As data use continues to proliferate in the enterprise, organizations face immense challenges when it comes to effectively collecting, processing and analyzing data at scale. Gartner predicts that by 2018, 70 percent of big data projects will fail.1 The complexity of big data coupled with a skills shortage for data engineers, data scientists and data analysts, increases the need to automate unnecessary manual effort and augment human tasks in order for organizations to scale big data efforts.”

It continues, “Through the launch of QDS Community Edition, Enterprise Edition and Cloud Agents, Qubole is building an autonomous data platform with intelligent automation to address the difficulty enterprises have in scaling their data teams and initiatives. The new QDS platform self-manages, self-optimizes and learns by watching platform usage. The architecture analyzes metadata (queries, clusters, users, data, etc.) generated by platform usage and applies machine learning and artificial intelligence to create alerts, insights, recommendations and autonomous agents which perform actions automatically. The QDS platform is the only solution that intelligently automates and analyzes usage to learn how to make data teams more effective.”

Read more at Marketwired.

Photo credit: Qubole

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