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.

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.

We’ve been working on many new features and improvements for Loadero, both large and small. And now we are excited to share the updates and some information about even bigger updates coming soon. Here is what changed in Loadero recently.

One of the biggest preventable losses that hurts insurers worldwide is fraudulent insurance claims. The P&C segment accounts for the most fraudulent insurance claims, with auto insurance and workers’ compensation making up the biggest percentage of fraudulent claims that have an annual impact on the insurance business.

Achieving optimal software reliability and quality management processes sit at the core of a memorable digital experience. Quality management in software can be summarized in two points: Stakeholders and management always want their digital products to successfully launch. Software testing is normally seen as rejecting builds and stretching out the delivery date. Why is that?

It has been months ago when Toloka and ClearML met together to create this joint project. Our goal was to showcase to other ML practitioners how to first gather data and then version and manage data before it is fed to an ML model. We believe that following those best practices will help others build better and more robust AI solutions. If you are curious, have a look at the project we have created together.

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.

Databases are important for every organization. Learn more about what databases are and the different types available.

Keboola and ThoughtSpot partnered up to offer click-and-launch insights machines. With the original integration, you can already cut the time-to-insight. Keboola helps you get clean data and ThoughtSpot helps you turn it into insights. What’s new? The new solution builds out-of-the-box and ready-to-use data pipelines (Keboola Templates) and live self-serve analytic dashboards (ThoughtSpot SpotApps) from the ground up. You just need to click-and-launch your analytic use case.

As you may know, event logs are a common feature in operating systems and other software that keep track of system and application errors. When you have API traffic to follow or front-end actions you want to watch, using Moesif’s Live Event Log is a simple way to filter and find the data you need.