Systems | Development | Analytics | API | Testing

%term

The Cloud Exit: Cost, Security, and Performance Driving the Move Back to On-Premises

The last decade has seen a giant shift by organizations into the cloud for software, storage, and compute, resulting in business benefits ranging from flexibility and lower up-front costs to easier maintenance. But lately we have seen more and more companies re-evaluating their cloud strategies and opting to move their data back to on-premises infrastructure due to several key factors.

How Booking.com Used Data Streaming to Put Travel Decisions into Customer's Hands

Booking.com wanted to give people a “connected trip” experience, allowing customers to seamlessly book flights, accommodations, car rentals, and excursions in one visit. The company realized the value of data streaming early on in reaching this goal, but the operational effort had become overwhelming. Learn how Booking.com found the answer in Confluent’s data streaming platform. With its automated configuration that required no ongoing maintenance, the team was able to prioritize innovation with data and provide the comprehensive booking experience they had been searching for.

Tideways joins the Open Source Pledge

Tideways is joining the Open Source Pledge because we want to make a public commitment on our various open source contributions. Not only do we rely on open source software in our product Tideways, we are also building our business on top of the open source language PHP and its continued success. The mission of the recently started Open Source Pledge initiative is to establish a new social norm in the tech industry of companies paying Open Source maintainers.

Data Management and the Four Principles of Data Mesh

A relatively new term in the world of data management, data mesh refers to the process of creating a single, unified view of all enterprise data. This process can happen in several ways, giving business users easy access to the data they require for decision-making. Several principles guide data mesh design and implementation. This article will discuss the principles of data mesh and how they can help your business get the most out of its data.

5 Strategies to Reduce ETL Project Implementation Time for Businesses

Picture this: You are part of a BI team at a global garment manufacturer with dozens of factories, warehouses, and stores worldwide. Your team is tasked with extracting insights from company data. You begin the ETL (Extract, Transform, Load) process but find yourself struggling with the manual effort of understanding table structures and revisiting and modifying pipelines due to ongoing changes in data sources or business requirements.

AI's Pervasiveness Redefining Business and Society

Science fiction no longer defines Artificial Intelligence (AI) as a futuristic trend. It now forms an essential part of our everyday life, quietly but significantly impacting how society and businesses run. AI is changing businesses and paving the way for a new era of innovation and expansion. It does this by automating routine tasks and guiding complex decision-making processes.

Highlights of STARWEST 2024: Key Insights and Innovations in Software Testing

In this digital world, we all love to know about this trending world brilliant event of StarWest Conference 2024. Also, everyone who is connected with the testing community knows about this event. Everyone is excited to know, How STARWEST 2024 became the most-discussed software testing event of the year? This event started from September 22 to 27 and in this event, brilliant-minded testing experts participated in shared innovation, learning, and networking in Anaheim, California.

Myth Busters: How Jet Reports Simplifies Your NAV-to-BC Migration

For many Microsoft Dynamics NAV users, migrating to Dynamics 365 Business Central (BC) is a daunting prospect. It’s often perceived as a time-consuming and expensive process that disrupts day-to-day operations. However, delaying the migration is no longer an option. Microsoft discontinued development of NAV in 2018, and mainstream support ended in 2023. Extended support is limited, and without a timely upgrade, you risk losing functionality and performance.

From Data Pipeline Automation to Adaptive Data Pipelines

Data pipeline automation plays a central role in integrating and delivering data across systems. The architecture is excellent at handling repetitive, structured tasks, such as extracting, transforming, and loading data in a steady, predictable environment, because the pipelines are built around fixed rules and predefined processes. So, they will continue to work if you maintain the status quo, i.e., as long as your data follows a consistent structure.