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Expanding Your Analytics Audience: Make Information More Accessible with Natural Language Query

In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills.

New Applied ML Prototypes Now Available in Cloudera Machine Learning

It’s no secret that Data Scientists have a difficult job. It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. Heck, it was so long ago that people were still meeting in person! Today, the sexy is starting to lose its shine. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012.

Next Generation Analytics Consumption Is NOT About "Killing Dashboards"

As we get closer to the end of 2021, looking back the data and analytics technologies have evolved significantly over the last few years. We have seen the introduction of augmented analytics capabilities embracing user self-service and multimodal delivery of analytics insights. In addition, we have seen new data integration and catalog capabilities in response to the demands of new regulations and governance needs.

NiFi as a Function in DataFlow Service

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC), our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. You can find more information in this release announcement blog post and in this technical deep dive blog post. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC.