Systems | Development | Analytics | API | Testing

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.

The Easiest Way to Track Data Science Experiments with MLRun

As a very hands-on VP of Product, I have many, many conversations with enterprise data science teams who are in the process of developing their MLOps practice. Almost every customer I meet is in some stage of developing an ML-based application. Some are just at the beginning of their journey while others are already heavily invested. It’s fascinating to see how data science, a once commonly used buzz word, is becoming a real and practical strategy for almost any company.

Setting up CI/CD for a Godot game

TL;DR: Setting up CI/CD pipelines for games made with the Godot engine is quite simple, thanks to the fact that it’s easy to work with Godot using the command-line interface. This means we can quickly install Godot on a Codemagic build machine and automate the export of Godot games, though we’ll need to specify some configurations as well. Let’s see how to automate Godot game projects! These past few months, I’ve talked about using Codemagic to build and publish Unity games.

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.

Streaming Edge Data Collection and Global Data Distribution

In the first blog of the Universal Data Distribution blog series, we discussed the emerging need within enterprise organizations to take control of their data flows. From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way.

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.

Adeo - Case study

Adeo is the European leader in the home improvement and DIY market, and number 3 worldwide. Its companies : Leroy Merlin, Bricoman, Weldom, Zôdio… Gather 150 000 leaders and more than 1000 sales points over 20 countries. Teams all over the world enable ADEO companies be useful to inhabitants while making home a positive place to live. Thomas Pitteman Very fond of everything related to computers, he worked in the transport industry before merging work with passion by joining Adeo in 2018.

How to Fix the Input Mismatch Exception in Java?

p>The InputMismatchException is a runtime exception in Java that is thrown by a Scanner object to indicate that a retrieved token does not match the pattern for the expected type, or that the token is out of range for the expected type. Since InputMismatchException is an unchecked exception, it does not need to be declared in the throws clause of a method or constructor.