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A Monumental Year for Qlik's Data Integration and Quality Business

At Qlik World 2023, Mike Capone stood on stage and proudly announced the acquisition of Talend to form Qlik’s Data Business Unit. The Data BU had the charter to combine the best of Qlik Data Integration with Talend and Stitch Data to deliver market-leading data integration and quality solutions.

5 Top Benefits for Choosing React Native

React Native is an open-source framework that Meta (then Facebook) designed to build native applications for Android, iOS, and other platforms. The framework is built so anyone familiar with React can easily build cross-platform applications without learning a completely different framework or language. However, there are differences in the functionality of the two, including: There are many more differences, but we’ll get into those later in the post.

Making AI Real for Customers with Robust Data Foundations and Powerful AI-Driven Insight

The rise of AI brings unprecedented opportunities, deeply rooted in the transformative power of data. As organizations strive for smarter, faster outcomes—whether accelerating product launches, streamlining supply chains, improving customer experiences, or enhancing workforce productivity—they must address five key needs for enterprise AI adoption: Move/ Transform - To effectively adopt AI, companies need to bring together and transform data of all types from all sources.

S1.E5: Test automation uncovered | QA Therapy Podcast

In this episode, we're diving into the realm of test automation ownership, strategy, tooling, and beyond, with our special guest, Toyer Mamoojee, our esteemed QA Therapist. Toyer, a seasoned speaker at testing conferences, is renowned for his expertise in test automation. Did you know that Xray enables you to consolidate results from various testing frameworks into a single, centralized location within Jira? This means your teams can freely select their preferred testing frameworks or tools without sacrificing visibility into the testing process.

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

A data catalog is a collection of metadata that acts as a comprehensive inventory of an organization’s data assets. It provides an overview of all the data available, regardless of its location or technical details. This collection helps analysts and other data users find the needed data.

Simplified End-to-End Development for Production-Ready Data Pipelines, Applications, and ML Models

In today’s world, innovation doesn’t happen in a vacuum; collaboration can help technological breakthroughs happen faster. The rise of AI, for example, will depend on the collaboration between data and development. We’re increasingly seeing software engineering workloads that are deeply intertwined with a strong data foundation.

Top 4 AI Use Cases in Life Sciences

The life sciences industry is rapidly embracing artificial intelligence (AI) to automate complex processes, enhance efficiency, and improve outcomes. From drug development to patient care, AI-driven automation is transforming the landscape. Here are some of the top artificial intelligence use cases for process automation in the pharmaceutical industry.

AnswerThePublic: Unlocking Insights from Search Queries

In the digital age, understanding the pulse of public interest is crucial for web professionals. AnswerThePublic, a cutting-edge search listening tool, has emerged as a vital resource for tapping into the collective inquiries of internet users worldwide. With over 15 years of experience in content strategy, many experts have seen tools come and go, but AnswerThePublic stands out for its ability to transform raw search data into actionable insights.

Capital One Shares Insights on Cloud-Native Streams and Governance

Businesses that are best able to leverage data have a significant competitive advantage. This is especially true in financial services, an industry in which leading organizations are in constant competition to develop the most responsive, personalized customer experiences. Often, however, legacy infrastructure, data silos, and batch systems introduce significant technical hurdles.