Systems | Development | Analytics | API | Testing

Happy Earth Day 2025! This year's theme, "Our Power, Our Planet," resonates deeply with Qlik's ongoing commitment to environmental stewardship. We believe that creating a sustainable future requires a collective effort, and we're dedicated to prioritizing and embracing renewable energy sources. Our goal is ambitious: to triple the use of clean energy sources by 2030.

Saks, Canva, and Condé Nast centralize data with Fivetran to create elevated customer experiences, paving the way for personalized online retail and media.

The Android emulator is an Android virtual device that is used to test and debug Android code. It looks and behaves the same as a physical Android device, and while it has some limitations (more of which later), it provides real time and cost savings for developers. Unlike the iPhone, which is limited to one manufacturer and a specific number of iOS versions, there are thousands of Android device types out there.

The Model Context Protocol (MCP) has taken the internet by storm by rapidly becoming the standard for Large Language Models (LLMs) to communicate with external data sources or tools. MCP provides a structured way to fetch data and trigger workflows through APIs and functions. However, with great power comes great responsibility.

Back in our college days, we studied about the Software Development Life Cycle (SDLC), right? In that, we learned about various software methodologies like the Waterfall model, Agile, etc. We also learned how these methodologies help us deliver software quickly. Rapid Application Development is one such methodology we forgot to study in college – no worries, now you can understand what exactly Rapid Application Development is and how it helps you and your business.

Consumer offsets are at the heart of Apache Kafka's robust data handling capabilities, as they determine how data is consumed, reprocessed, or skipped across topics and partitions. In this comprehensive guide, we delve into the intricacies of Kafka offsets, covering everything from the necessity of manual offset control to the nuanced challenges posed by offset management in distributed environments.

With data streaming, public sector organizations can better leverage real-time data and modernize applications. Ultimately, that means improving the reliability of services that agencies and citizens depend on, enhancing operational efficiency (therefore cutting costs), and delivering critical insights the moment they’re needed.

Organizations are moving beyond simple automation towards a future where systems are intelligent enough to tackle complex tasks with minimal human intervention. Agentic workflows are the driving force behind this shift. According to Gartner, a staggering 33% of enterprise software applications are projected to integrate agentic AI by 2028, enabling them to autonomously make decisions for as much as 15% of routine work.

By 2025, one in four enterprises using Gen AI will have AI agents in place, and that number will double by 2027. As organizations race to integrate these intelligent technologies, the spotlight is on agentic automation, a transformative approach reshaping how businesses operate. Right now, enterprises are at a key turning point.