Testing is an essential part of any software deployment project, whether a new eCommerce gateway or migrating from SAP ECC to S/4HANA. But ERP testing SAP and other packaged applications differs from standard web or mobile application testing.

The 2024 Gartner Magic Quadrant for Analytics and BI Platforms just dropped, and we’re thrilled to announce that ThoughtSpot was recognized as a Leader in the report. But, we aren’t the only ones finding ourselves in a new position this year. The analytics and BI space has undergone some of the most significant shifts in over a decade, an aftershock of generative AI.

HTTP status codes are an essential part of web communication. They provide information about the outcome of a request made to a server. Whether you’re a seasoned developer or a student just starting out, understanding these codes can significantly enhance your ability to debug and optimize web applications. This blog will break down the most common HTTP status codes that one generally encounters, explain their meanings and how to handle them.

As automation capabilities grow, so do the related use cases. It’s not surprising that 80% of executives think automation can be applied to any business decision, according to a Gartner survey. But as implementation becomes easier and automation adoption more prevalent, your organization can quickly lose control, with too many automation projects happening in silos.

When creating an ODBC driver, it is essential to convert data from the data source into a relational format. This is necessary because ODBC and SQL require and operate on data that is organized with a fixed schema and returned in a tabular structure.

A few weeks ago, Apple hosted its annual developer conference WWDC 2024, and made many announcements that will impact the mobile developer ecosystem. ‍ In a previous blog, we outlined the three top high-level announcements. In this post, we are diving into what’s new for two very important components of iOS- Xcode 16 and the App Store Connect.

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips. This assistant doesn’t just automate mundane tasks but understands the intricacies of your workflows, anticipates your needs, and dramatically enhances your productivity at every turn.