Systems | Development | Analytics | API | Testing

Today marks the beginning of an exciting new chapter for Cloudera. Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth.

Jeeves is the stereotypical English butler – and an AI chatbot that answers pertinent and important questions about Spark jobs in production. Shivnath Babu, CTO and co-founder of Unravel Data, spoke yesterday at Data + AI Summit, formerly known as Spark Summit, about the evolution of Jeeves, and how the technology has become a key supporting pillar within Unravel Data’s software.

This blog post was written by Pedro Pereira as a guest author for Cloudera. Right now, someone somewhere is writing the next fake news story or editing a deepfake video. An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Big data and AI amplify the problem. “If you have good intentions, you can make it very good.

The accelerated exploitation of new technologies and data drive successful digital transformation and is key to gaining competitive business advantage. Hence, executives place a premium on innovation, flexibility and acceleration.

“Talend is amazing because it’s open, flexible, and visual. The robustness and reliability of Talend have made it an integral part of our solution set. It’s easy to learn and fast to ramp up.” – Jason Vogel, IT Manager, AutoZone AutoZone is America’s #1 vehicle solutions provider. It was founded in 1979 and has since expanded to more than 6,400 stores across three countries, with over 96,000 employees.

Cloudera is trusted by regulated industries and Government organisations around the world to store and analyze petabytes of highly sensitive or confidential information about people, healthcare data, financial data or just proprietary information sensitive to the customer itself.

Businesses hoping to make timely, data-driven decisions know that the value of their data may degrade over time and can be perishable. This has created a growing demand to analyze and build insights from data the moment it becomes available, in real-time.

Companies today are faced with an analytics conundrum. On one hand, there’s a higher demand than ever for actionable business insights, but on the other there’s limited resources to deliver BI content to on-technical business end-users. To fill this gap, the industry is increasingly turning to the next generation of self-service analytics tools. These tools reduce time to insight, speed up insight to action, and also allow BI teams to focus on more strategic analytics work.

Many of you rely on Dataflow to build and operate mission critical streaming analytics pipelines. A key goal for us, the Dataflow team, is to make the technology work for users rather than the other way around. Autotuning, as a fundamental value proposition Dataflow offers, is a key part of making that goal a reality - it helps you focus on your use cases by eliminating the cost and burden of having to constantly tune and re-tune your applications as circumstances change.