Systems | Development | Analytics | API | Testing

How to simplify AI models with Vertex AI and BigQuery ML

Did you know there is native integration between Vertex AI and BigQuery ML? With unified cloud data, your machine learning pipelines will have multiple options for training and storing/accessing data. Watch along and learn about the new native integrations between Vertex AI and BigQuery ML for Google Cloud.

Next-Level API Security | Giora Engel | Neosec | Kongcast Episode 17

In this episode of Kongcast Kaitlyn talks with Giora Engel, Co-Founder and CEO from Neosec, about modern API threads, protecting APIs and their partnership with Kong. Hosted by Viktor Gamov and Kaitlyn Barnard, we interview software developers and technology leaders at the top of their game every other week. We’ll also give you the tools, tactics and strategies you need to take your distributed architectures to the next level. Kongcast goes beyond the buzzwords and dissects real-life applications and success stories so that you can tackle your biggest connectivity challenges.

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.

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.