Systems | Development | Analytics | API | Testing

Despite the challenges COVID-19 brought to the world this year, Qlik continued to innovate – integrating new capabilities directly to our core offerings in the areas of alerting, augmented analytics and conversational analytics. We also continued to enhance our solutions in the direction of making data less passive and more active, and made key acquisitions like Knarr Analytics and Blendr.io, continuing our journey of delivering a true end-to-end solution that enables Active Intelligence.

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. You will learn all the parts of Cloudera’s Data Platform that together will accelerate your everyday Data Worker tasks.

There has been an e-commerce explosion this year as consumers seek safety and convenience from the comfort of their own homes using digital tools to purchase everything from durable hard goods to fashion accessories to daily living consumables like food perishables, cleaning products and even school supplies.

In the latest release, the Yellowfin team focused on several new enhancements that expand the ability to share Stories and valuable insights more widely, and deliver greater consistency and governance in the user experience when building dashboards and reports. For the full list of updates, read the release notes and check out the video below to see some of these new enhancements in action.

When running any performance benchmarking tool on your cluster, a critical decision is always what data set size should be used for a performance test, and here we demonstrate why it is important to select a “good fit” data set size when running a HBase performance test on your cluster.

Unravel Data recently held its first-ever customer conference, Untold 2020. We promoted Untold 2020 as a convocation of #datalovers. And these #datalovers generated some valuable data – including the interesting fact that more than 60% of surveyed customers have SLAs for either “more than 50% of their pipelines” (42%) or “all of their pipelines” (21%). All of this ties together.

From rice genomes to historical hurricane data, Google Cloud Public Datasets offer a world of exploration and insight. The more than 20 PB across 200+ datasets in our Public Dataset Program helps you explore big data and data analytics without a lot of cost, setup, or overhead. You can explore up to 1 TB per month at no cost, and you don’t even need a billing account to start using BigQuery sandbox.