Systems | Development | Analytics | API | Testing

A Smartsheet report found that over 40% of workers spend at least a quarter of their workweek manually extracting data. Tax specialists in many organizations spend hours or even days sorting through piles of paper or PDF documents, looking for relevant information, and entering it into spreadsheets or databases. That’s a lot of time and money wasted on a tedious and error-prone process. Fortunately, there is a better way to handle tax form data extraction.

Amazon Web Services (AWS) ETL refers to a cloud-based set of tools and services that help extract data from different sources, make it usable, and store it in a way that makes it easy to analyze and make decisions based on it. AWS ETL tools offer a unique advantage for businesses seeking to streamline their data processes. These tools are efficient, scalable, and adaptable, making them ideal for a wide range of industries, from healthcare and finance to retail and beyond.

As your company grows, so do the challenges of managing user access and data security. For many of us, it’s a common situation – the account that started with a few key players now has multiple users with different access levels. New team members join, roles evolve, team members move on to new opportunities, and sometimes external players (like contractors or clients) need temporary access to your account.

The potential impact of AI in banking appears boundless. A 2023 McKinsey report found that effectively incorporating generative AI tools into business operations could lead to annual operational savings ranging from $200 billion to $340 billion for the global financial services industry. These cutting-edge technologies can also enhance customer satisfaction, attract more potential customers, and improve employee experience.

Enterprises looking to increase productivity and optimize business processes are increasingly turning to artificial intelligence (AI). AI can meet these expectations—but only with the right enabling technology. Intelligent automation at scale across the organization can offer a strategic approach to incorporating AI into complex business processes.

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.

The Apache Flink® community unveiled Apache Flink version 1.19 this week! This release is packed with numerous new features and enhancements. In this blog post, we'll spotlight some of the standout additions. For a comprehensive rundown of all updates, don't forget to review the release notes.

Ready to write functional test cases that testers can action on and that, combined, thoroughly cover the product? Let’s first define functional software testing. Broadly, functional software testing is defined as a type of black-box testing method that focuses on the functionality of a software product. Functional testing is designed to ensure a web or mobile software application meets its requirements and specifications by executing test cases from the user’s perspective.

Measuring the success of quality assurance (QA) and software testing can be a complex task that requires going beyond surface metrics. It’s a nuanced process that needs an in-depth understanding of how every decision and action your team takes translates into tangible benefits for the product, the team, and, ultimately, the end-users. However, with so many data points available, identifying which metrics truly matter can feel like finding a needle in a haystack.

Are you looking to streamline your network traffic but puzzled over whether an API gateway or a load balancer fits your needs? An API gateway centralizes and manages access to your APIs, while a load balancer efficiently distributes incoming traffic across multiple servers. This guide will directly compare api gateway vs load balancer, delineating their strengths to inform your network strategy.