Accepting user input is critical to modern Rails applications, but without validations, it can cause problems. In this article, learn how to use `ActiveModel` validations to ensure the data you process is safe.

Tell us if this sounds familiar. You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. In the day and age of “big data,” most might think this issue is trivial, but like anything in the world of data science things are hardly ever as straightforward as they seem.

In the simplest terms, a test environment is an interface (often a virtual environment) when software tests are executed. This includes the server required to power test infrastructure and hardware and software configurations to match specific projects and use cases; devices, browsers, operating systems, automation frameworks, network configuration, data, streaming implementation for testing over the cloud, etc.

Principal Component Analysis (PCA) is one of the most commonly used unsupervised machine learning algorithms across a variety of applications: exploratory data analysis, dimensionality reduction, information compression, data de-noising, and plenty more. In this blog, we will go step-by-step and cover: Before we delve into its inner workings, let’s first get a better understanding of PCA. Imagine we have a 2-dimensional dataset.

As your data volumes grow, your operations slow down. Data ingestion - extraction of all underlying datasets, transformation, and loading in a storage destination (such as a PostgreSQL or MySQL database) - becomes sluggish, impacting processes down the line. Affecting your data analytics and time to insights. Change Data Capture (CDC) makes data available faster, more efficiently, and without sacrificing data accuracy. In this blog we are going to overview the 7 best change data capture tools of 2022.

Logging can be a life-saver when it comes to discovering bugs or faults in your Go (Golang) code. The three most popular ways to log errors in Golang are: This article will walk you through how to log errors using each method, when and why you’d want to use each, along with examples.

The Python KeyError is an exception that occurs when an attempt is made to access an item in a dictionary that does not exist. The key used to access the item is not found in the dictionary, which leads to the KeyError.

I Google’d the word “reliable” the other day. At the top of the results page was a definition from the Oxford Languages dictionary. I started thinking, what’s “reliable”? I glanced at my mobile phone. I felt it was pretty reliable. I can make and receive calls, I play games, battery life is pretty decent, photos are amazing… But it’s kind of new, so maybe that doesn’t count. It’s not really reliable, the jury’s still out.

Don’t sacrifice scalability for savings - have it both ways When left unchecked, the cumulative costs of your company data can ramp up fast. From training CPU-intensive machine learning algorithms that aren’t used in production to supporting enormous databases storing every minute event “just in case”. Letting your data operating costs run without checks and balances can quickly cause costs to bloat beyond your allocated budgets.

Financial services innovation continues to progress at a breakneck pace. For example, fintech developers can programmatically spin up accounts, move money, and issue and manage cards with Increase or embed financial services into their marketplace with Stripe – capabilities that were unimaginable just a few years ago.