Making Sense of Qlik Application Automation API
Join Qlik's Developer Advocate Gertrude as she demonstrates a simple use case for Qlik Application Automation API.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Harri empowers users to make better decisions with ThoughtSpot Everywhere
Empowering customers with its next-generation software technology platform, Harri is using ThoughtSpot Everywhere to help hospitality businesses build, manage and engage their teams.
In-depth Introduction to MLRun
Watch this video with Yaron, CTO and Co-Founder of Iguazio as he dives into different features and ways to use Iguazio's open source tool, MLRun.
Beyond Uptime: API Performance and Load Testing
With mobile app and API performance top-of-mind at most companies, why do development, testing and SRE teams continue to trust in traditional stress/load tests and uptime or synthetic monitors that provide only a false sense of security about performance in the real world?
Virtual Production 201: How Does the VAD Work with a Virtual Production?
In this first video from our Virtual Production 201 series, learn how a virtual art department (VAD) works with a virtual production. Set your studio up for success with on-demand virtual production training by the pros.
Virtual Production 201: What Do You Need to Know When Running a Volume?
In this second video from our Virtual Production 201 series, learn what you need to know when running a volume. Set your studio up for success with on-demand virtual production training by the pros.
Virtual Production 201: What Hardware Do You Need for a Virtual Production?
In this third video from our Virtual Production 201 series, learn what hardware you need for a virtual production. Set your studio up for success with on-demand virtual production training by the pros.
Installing Yellowfin on a Mac OS or Linux computer
Watch this step-by-step tutorial to learn how easy it is to install Yellowfin on either a Mac or Linux computer. You will need a Yellowfin license.
Get to anomaly detection faster with Cloudera's Applied Machine Learning Prototypes
The Applied Machine Learning Prototype (AMP) for anomaly detection reduces implementation time by providing a reference model that you can build from. Built by Fast Forward Labs, and tested on AMD EYPC™ CPUs with Dell Technologies, this AMP enables data scientists across industries to truly practice predictive maintenance.
Kubernetes Logs Collection with MiNiFi C++
The MiNiFi C++ agent provides many features for collecting and processing data at the edge. All the strengths of MiNiFi C++ make it a perfect candidate for collecting logs of cloud native applications running on Kubernetes. This video explains how to use the MiNiFi C++ agent as a side-car pod or as a DaemonSet to collect logs from Kubernetes applications. It goes through many examples and demonstrations to get you started with your own deployments. Don’t hesitate to reach out to Cloudera to get more details and discuss further options and integrations with Edge Flow Manager.