Systems | Development | Analytics | API | Testing

Latest posts

The 4 benefits of retail analytics

Retail analytics is transforming the bricks and mortar and e-commerce landscapes. From Amazon drones delivering your favorite cupcake the moment your sweet tooth starts to tingle to your local shop stocking the new GoPro just before you set up on a new adventure. In this article, we will explore the guiding principles of how data can be used to improve your retail business. But we will also make it actionable.

How to Use Data Integration to Streamline Your Ecommerce Business

Our five key points: Most (if not all) Ecommerce businesses have a lot of data to keep track of. Sales data, inventory data, customer data, and more. If you're not careful, all that data can quickly become overwhelming. That's where data integration comes in. Data integration allows you to streamline your business by consolidating all your data into one easy-to-use system. This can help you make better decisions about your business and improve your overall efficiency.

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.

Fivetran: Retail's New Normal: Marketing Analytics for Real-Time Insights

Turning raw data into actionable insights has a direct correlation to overall financial success in retail. From trend forecasting and inventory control to marketing strategy and customer behavior, it can be argued that perhaps no industry relies more heavily on data. For data-driven retailers, knowing customers better and personalizing outreach, forecasting demand, and understanding operations - and being able to act on these insights in real time- is a capability that can drive market share and revenue growth in a rapidly evolving environment post the introduction of COVID-19.

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.