AWS on the future of data lakes, metadata and AI innovation
The Director of Product Management at AWS sat down with Fivetran to unpack how Iceberg and metadata are reshaping the future of data lakes, data warehouses and AI.
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Modern Software Development For Today's Systems & Applications
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How To Drag and Drop in Selenium? A Complete Guide
Here’s an easy-to-understand and straight-to-the-point guide to drag and drop in Selenium.
Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS
Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.
The History of Chatbots: A Timeline of Conversational AI
From ancient Greek myths of talking statues to the modern-day Alexa and Siri, the concept of machines capable of understanding and responding to human language has captivated us for centuries. In recent years, this concept has evolved into AI chatbots, highly sophisticated tools that can read our queries and perform tasks ranging from customer service to automated alerts.
AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies
AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies With larger competitors already using AI to streamline operations and gain a competitive edge, SMBs can’t afford to fall behind. But for many, adopting AI is easier said than done. Limited budgets, lack of in-house expertise, and the fear of wasting time and resources on the wrong tools often leave business owners stuck in decision paralysis.
Top 5 Tools For Performance Testing: Boost Your Application'S Speed
Performance testing t is a major part of software testing and involves understanding how the software handles expected errors, which is integral to quality assurance. There are multiple free and open-source tools we can discuss in the blog, but let’s start with why we even need performance testing.
Test Plan vs Test Strategy: Best Practices, Examples, and Pros & Cons
When it comes to ensuring software quality, having a well-defined Test Plan and Test Strategy is crucial. As a software developer or QA professional, understanding the differences between these two concepts and how to write a Test Plan or execute a test strategy effectively can significantly improve your testing process.
Introducing Testsigma Copilot - GenAI-Powered Assistant for QA Teams
Testsigma Copilot is a GenAI assistant for QA teams that lets you generate test cases and scenarios with just designs, screenshots, or user stories. ️ No manual test development effort️ No missed edge cases️ No delayed or lengthy test cycles.
The easy button for replicating PostgreSQL data into Snowflake
Snowflake customers can take advantage of Fivetran’s data movement and data replication capabilities as a native application available in the Snowflake Marketplace.
Organizations leveraging SAP Application Testing solutions by Tricentis gain an average of $5.33 million in annual benefits
Companies that stand still in today’s ever-evolving, fast-paced business landscape are at significant risk of losing competitive advantage. Increasingly, high-quality software is playing a vital role in ensuring that organizations are able to innovate, pivot, and adapt to suit the growing demands of their customer base. However, application testing challenges have significantly hindered the pace at which software can be delivered for too long.