Systems | Development | Analytics | API | Testing

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Demystifying Data Strategy with Ehrar Jameel #datastrategy

Join Ehrar Jameel, Head of Data and Analytics, as he demystifies the concept of data strategy in this enlightening snippet from our Art of Data Leadership series. In this segment, Ehrar delves into the fundamental question: What is a data strategy? Ready to delve deeper into the world of data leadership? Click here for the full Art of Data Leadership playlist and gain invaluable insights from Ehrar and other industry experts.

Set your Data in Motion with Confluent on Google Cloud

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.

WebdriverIO - All You Need To Know

In today's fast-paced software development industry, it is highly critical to deliver high-quality web and mobile applications rapidly is paramount. This is where automation testing services come in, and WebdriverIO emerges as a powerful test automation solution. Designed for the modern web, WebdriverIO is a test automation framework that seamlessly interacts with both web applications and native mobile applications on iOS and android devices.

How to Fix java.lang Illegal Argument Exception Unsupported Class File Major Version 61

The "Unsupported class file major version 61" error in Java means you're trying to run a Java program that's too advanced for the version of Java you have installed. To fix this, either update your Java to version 17 or newer, otherwise recompile the program with an older Java version that matches your runtime environment.

Data Integration in the Life Sciences: Eliminate Data Silos for Good

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

6 Ways Qlik Can Improve Databricks Performance and AI Initiatives

Data engineers and architects are being asked to do more with their enterprise data than ever before. Yet, the knowledge gap between what businesses want to do with data and how they can accomplish it is growing daily—especially considering today's AI hype cycle. With all that noise in the market, it's easy to see how organizations struggle to keep pace with innovation.

Data-Driven Testing: A Tutorial for QA Testers

Picture this: you’re testing online registration forms, and you need to ensure that every input field in the form is working as expected. To do this, you build a manual test for one input field. And then another for a second. And then another for a third…and so on. Thankfully, this scenario isn’t likely to come true, and it’s all thanks to data-driven testing.

The Modern Data Streaming Pipeline: Streaming Reference Architectures and Use Cases Across 7 Industries

Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.