In recent times, customers are looking for a customized solution for their specific requirements and utilizing the digital features of banking as per their needs. Moreover, banks have realized the economic advantage of personalization which can bring in considerable cost reduction by providing diverse cutting-edge products with AI, ML, and big data capabilities. Banks are now trying to cater to customer personalization while meeting the larger organization goal.

You can find a collection of k6 scripts and GitHub workflows referenced in this tutorial here. In this tutorial, we will look into how to integrate performance testing in your development process with GitHub Actions and k6. For a video tutorial 🎥 , check out the following tutorial on YouTube. k6 is an open-source load testing tool for testing the performance of APIs, microservices, and websites.

Understand the tradeoffs to make the best choice “Why are you still doing ETL pipelines?” “The Data Warehouse is the only way you can keep data quality high, despite the extra data modeling needed.” “Have you not heard of data mesh beforehand? It solves all centralization problems.” When it comes to data management, there are as many opinions as there are data managers. This is not to say there aren’t any good answers or right principles to follow.

When you need two or more applications and services to exchange data between them on a regular basis, REST integration (or REST API integration) is one method that slowly but steadily gains status of the new and preferred standard. But as with any other project where you need to connect apps and web services via API, integrating REST requires good preparation and a solid methodology to avoid project delays, development overhead and too many errors. So, how do you do REST integration the right way?

With the launch of CDP Public Cloud 7.2.14, Cloudera Streams Messaging for Data Hub deployments has gotten some powerful new features! In this release, the Streams Messaging templates in Data Hub will come with Apache Kafka 2.8 and Cruise Control 2.5 providing new core features and fixes. KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors.

From one-click upsells to dynamic pop-ups and personalized email and SMS campaigns, here are 7 ecommerce personalization examples to inspire you.

Five things you should know about Azure Synapse Analytics: Azure Synapse Analytics is a scalable, cloud-based data warehousing solution from Microsoft. Upon its launch, Microsoft described it as “the next iteration of Azure SQL Data Warehouse.” In addition to offering all of the technology and features of that platform, Azure Synapse also incorporates business intelligence, data analytics, and machine learning tools for both relational and non-relational data.

The TypeScript team announced a collaboration to a new proposal for the JavaScript language, written by Gil Tayar, that I was amazed by. In Gil's words: "It seems that people love types based" according to the StateOfJS 2021 survey.

Here are four differences between Integrate.io vs Glew.io: You already know the benefits of data analytics for your business. But how can you analyze data when it's spread across multiple siloed systems? Both Integrate.io and Glew.io let you move data from various places to one single location so you can make better business-related decisions. As a result, you can improve organizational decision-making and give your business a competitive edge. But which platform is better? Integrate.io or Glew.io?