Systems | Development | Analytics | API | Testing

Getting Started with Cloudera Data Engineering on CDP

In this video we go over the Cloudera Data Engineering Experience, a new way for data engineers to easily manage spark jobs in a production environment. We'll go over a few of the key features as well as a quick demo on how to launch your first simple python ETL spark job. You'll see how to schedule as well as analyze a job once the run is complete.

API Load Testing Mistake #1: Separating Load Tests from Business Process - @SmartBear Talks

API performance testing becomes highly-demanded in all companies. It's very important to make sure how each single API works, as well as how they work under a different load. Many companies are trying to do API load testing by using the same approaches they use to test single APIs. In this video, we will talk with a world-known API expert, Robert Schneider, about the importance of including API load testing scenarios into a business process.

BitSteps: Speed up tests for your Android apps by integrating Genymotion and Bitrise

Featured Partner Edition: Speed up tests for your Android apps by integrating Genymotion and Bitrise How Bitrise and Genymotion Work Together With Genymotion providing the Android virtual devices cloud and Bitrise executing CI, teams are able to run their Android automated tests using any testing framework (Espresso, Appium, Detox, and so on) on Genymotion Cloud devices. This helps developers and QA engineers achieve immediate feedback and test at scale, as test results provide insights into the health of their applications.

Security Never Sleeps: Why a Secure Network is a Must for Testing in the Age of Remote Work

In this webinar, security experts Sivan Tehila and Justin Dolly will discuss:

  • The various threats to your network and to your testing environment that have come about as a result of remote work
  • How cybersecurity is an integral part of the organization's business continuity plan
  • Tips and best practices for securing the home network when the endpoint is now everywhere

Faster Analytics with Cloudera Data Warehouse (CDW) Demo Highlight

The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.

Predicting 1st-Day Churn in Real-Time - MLOps Live #7 - With Product Madness (an Aristocrat co.)

Michael Leznik - Head of Data Science Matthieu Glotz - Data Scientist Yaron Haviv - CTO & Co-Founder We discuss how technology and new work processes can help the gaming and mobile app industries predict and mitigate 1st-day (or D0) user churn in real time — down to minutes and seconds using modern streaming data architectures such as KAPPA. Also, we explore feature engineering improvements to the RFM (Recency, Frequency, and Monetary) churn prediction framework: The Discrete Wavelet Transform (DWT).

Observability For Your Microservices Using Kong, Kubernetes, and Prometheus

In this video, Kevin Chen, Developer Advocate at Kong, will explain how to set up Prometheus monitoring with Kong Gateway to get black box metrics and observability for all of your services deployed on Kubernetes. This guide can also be applied to other solutions like StatsD, Datadog, Graphite, InfluxDB etc.