Systems | Development | Analytics | API | Testing

Building a Churn Insights Dashboard with Continual and Streamlit on Snowflake

In this tutorial, we’re going to build an interactive customer Churn Insights Dashboard using the open-source Python framework, Streamlit, and the Continual predictions generated in Part 1: Snowflake and Continual Quickstart Guide. In Part 1, we connected Continual to Snowflake and used a simple dataset of customer information, activity, and churn status to build and operationalize a machine learning model in Continual to predict the likelihood of a customer churning.

Create 2D games quickly and easily with Flutter Flame

Flutter enables you to develop applications for platforms such as Android, iOS, desktop, and the web from a single codebase. As a multiplatform UI toolkit, the Flutter team is dedicated to enabling all kinds of developers to quickly build and release applications. Game developers, for instance, are now able to build beautiful game apps without worrying about performance, load times, and app sizes. This tutorial will provide you with an introduction to the Flutter Flame game engine.

Scan your builds for vulnerabilities by using mobsfscan with Codemagic

With the increase in malware attacks on devices, engineers are putting more effort into ensuring the products they build are not vulnerable to these attacks. One such tool that can help mobile engineers reduce vulnerabilities is Mobile Security Framework (MobSF).

ClearML Autoscaler: How It Works & Solves Problems

Sometimes the need for processing power you or your team requires is very high one day and very low another. Especially in machine learning environments, this is a common problem. One day a team might be training their models and the need for compute will be sky high, but other days they’ll be doing research and figuring out how to solve a specific problem, with only the need for a web browser and some coffee.

Hello, Spark! An intro to Apache Spark using PySpark in the Cloud

If you’re new to the world of large-scale data analytics, this session is for you! We'll cover the basics of what problems Apache Spark can solve, why and when to use Spark, and how Spark enables efficient use of time and computing hardware. We’ll also demonstrate how easy it is to run a PySpark job in the public cloud using the Data Science Workbench and Cloudera Data Engineering Products.

Why VMware Tanzu Should be a Core Part of Your Hybrid Cloud Application Infrastructure

When it comes to hybrid cloud and digital transformation, it’s all about application services and leveraging appropriate on-premise, service provider, and hyperscaler cloud resources and services seamlessly and efficiently.

Android builds now faster than ever Bitrise Feature Updates

For our Linux machines, we've just doubled vCPUs from 2 to 4, from 4 to 8 and from 8 to 16. and we’ve also doubled memory on all Linux compute options, from 8 to 16 GB, from 16 to 32 GB and from 32 to 64 GB. This means your Android builds will now run on average 30% faster, using fewer credits per build than before.