Systems | Development | Analytics | API | Testing

%term

Embracing the Power of AI and Machine Learning in Software Testing

In today's rapidly evolving digital landscape, superior software is essential, whether it be the apps on our phones or the intricate systems supporting various business requirements. The process known as Software Testing (ST) has undergone an immense transformation in order to meet this necessity where Artificial intelligence (AI) and machine learning (ML) play a great role in QA solutions.

Databricks Follows Cloudera by Adopting Iceberg, While Snowflake Mulls Open Source Approach

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).

2024 Smoke Testing Guide

As we move through 2024, early-stage quality assurance methods ensure you meet the changing software development landscape. As a preliminary test phase, smoke testing verifies that the application’s functionalities work as expected after updates or integrations. This article will explain why smoke testing is important, as well as practical applications, examples, and best practices for smoke testing in the early stages of development.

insightsoftware's Open Business Data Fabric

Imagine you're in finance, juggling with data scattered across countless applications. Combining information from various sources for tasks like budgeting, forecasting, and regulatory unnecessarily hard. The traditional data warehouse approach promises a solution, but it comes with a hefty price tag. It's slow, expensive to maintain and requires constant IT involvement. Data Fabric offers a more promising approach. It connects to various data sources in real time, eliminating outdated information and providing a unified view for applications and BI tools.

Astera's Guide to Marketing Data Integration and Governance

Customer data provides a treasure trove of insights into their behavior and preferences. Marketers must leverage this information to drive strategic decisions and optimize marketing campaigns. Analysts must consolidate fragmented data across various systems to use customer data effectively. With proper data integration and governance, marketers can effectively transform their data assets into insights that inform their decision-making.