With the increasing importance of real-time data in modern businesses, companies are leveraging distributed streaming platforms to process and analyze data streams in real time. Many companies are also transitioning to the cloud, which is often a gradual process that takes several years and involves incremental stages. During this transition, many companies adopt hybrid cloud architectures, either temporarily or permanently.

Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data—structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster.

Generative AI’s (gen AI) capabilities seemed startlingly novel a year ago, when ChatGPT’s release led to an explosion of public usage and, simultaneously, intense debate about its potential societal and business impacts. That period of initial amazement and suspicion has given way to business urgency, as companies scramble to adopt gen AI in ways that leverage its potential for maximizing workforce productivity and profitability.

Microsoft Excel, a cornerstone in the realm of data management, is extensively utilized across various industries for its robust capabilities in data analysis, storage, and intricate calculation functionalities. However, when it comes to importing Excel files into other Software as a Service (SaaS) applications, users often encounter a range of import errors that can hinder productivity and data accuracy.

You might have heard the rumors circulating in the tech world—PHP, the venerable programming language, isn’t as secure as its modern counterparts. With roots tracing back nearly three decades, PHP soared to popularity during the early days of the web, when security practices were still finding their footing.

In this blog post we are going to discuss using JMeter localised to a language other than English. We are not discussing computer languages that are supported. We will look at currently supported languages and how to change your local instance to use these languages. We will also look at how you can submit a language translation if you would like to and have the ability to.

Apigee is a cloud-based API management tool. It integrates data from databases, warehouses, data lakes and SaaS services. It is a no-code tool making it a valuable asset for citizen integrators and developers alike. However, the platform was initially designed to build APIs for monoliths. It was not designed to handle microservices. Given we are in the age of digital transformation where microservices rule, Apigee may not be suitable for a lot of use cases.

API testing is a critical part of the software development lifecycle. If you’re not performance testing your APIs, you’re putting your entire system at risk. API testing is the process of verifying and validating the functionality, reliability, performance, and security of an API to ensure it meets its requirements and behaves as expected. This guide will discuss the importance of testing and how to test APIs.

Dive into the essentials of DevOps and Mobile DevOps. This blog post covers the DevOps core principles, the differences between DevOps and Mobile DevOps, and the integration of security and engineering practices, alongside answers to common DevOps questions and a glossary of terms.

From personal AI to the data that’ll train it, browse our bets on how AI develops in 2024 and beyond.