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How to use generative AI for exploratory testing? (With examples)

Generative AI is bringing a new era of “convenience” with ChatGPT, from OpenAI, taking center stage in our daily lives. From aiding in solving complex problems to generating content, this large language model has become a helpful companion for various testing-related tasks. As generative AI is becoming increasingly present in our daily lives, we should understand how to use it and account for its limitations.

Apache Ozone - A Multi-Protocol Aware Storage System

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Six Key Predictions for Artificial Intelligence in the Enterprise

As we head into 2024, AI continues to evolve at breakneck speed. The adoption of AI in large organizations is no longer a matter of “if,” but “how fast.” Companies have realized that harnessing the power of AI is not only a competitive advantage but also a necessity for staying relevant in today’s dynamic market. In this blog post, we’ll look at AI within the enterprise and outline six key predictions for the coming year.

AS2 vs. SFTP: Key Differences & How to Choose

Businesses of all sizes need secure and scalable methods for sharing information, but it's not always clear what the best protocols and solutions are for each use case. Two of the most commonly used data transfer protocols are Applicability Standard 2 (AS2) and Secure File Transfer Protocol (SFTP). While AS2 is a protocol-based standard that's most often used for data transfers that require proof of receipt, SFTP is a more commonly used protocol for secure, scalable file transfer.

How To Design a Dashboard in Yellowfin: Part One

Designing a dashboard comprises many different considerations. Whether it's the business-user, data expert or business unit building the dashboard, our team aims to create a guide that will be useful for everyone who wants to (or needs to) create a dashboard, but is having some troubles figuring out how to do it. In this latest series of blogs, the Yellowfin Japan team takes the lead in introducing the process of creating a new dashboard in Yellowfin.

Understanding and Evaluating Cloud-Based ETL Tools

Is your organization ready for cloud-based ETL tools? With things like business intelligence (BI), data-driven strategies, and comprehensive analytics becoming increasingly integral parts of today's long-term business strategies, it's no surprise that ETL platforms hold a more prominent role than ever. When evaluating a cloud-based ETL tool, you should consider the: So, what is ETL, what are your ETL options, and how do you find the best choice for your business?

How to Fix java.text.ParseException

The java.text.ParseException is a checked exception in Java that signals an unexpected error while parsing an input. This typically happens when the input does not match the expected format. Since ParseException is a checked exception, it must be explicitly handled in methods that can throw this exception - either by using a try-catch block or by throwing it using the throws clause.

What is a QA Team?

Imagine you’ve just crafted an application, a potential hit, a digital masterpiece. Now, here’s the cliffhanger: will it work flawlessly in the hands of millions, or will it crumble under pressure? Enter the QA Team, your software’s safety net. In the world of software development, a QA team acts much like a vigilant lifeguard, ensuring every user’s experience is a smooth sail without the risk of drowning in a sea of bugs.

Why We Love the Gateway API

Kubernetes took the world by storm in 2014. A CLI-first experience, containers as a first-class citizen, and a need to dynamically scale workloads meant that Kubernetes was the right choice for many teams moving to the cloud. By late 2015, the community realized that there needed to be a standard way to manage traffic at the edge of a cluster and so the Ingress API was born.