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Choosing the Right Chart Type for Good Data Visualization
An effective dashboard requires careful design to present data in the best way, and to help more people (users, customers) find insights without feeling overwhelmed. Yellowfin BI comes with a wide variety of chart types as part of its extensive data visualization tools, and while it is tempting to use a lot of eye-catching charts to make a dashboard that looks great, it is important to select the right chart for the right situation.
The 8 Best API Documentation Examples for 2024 | Dreamfactory
Your API documentation is just as important as your API. It defines how easy it is for users to learn, understand, and use your open-source or paid-for product. In this post, DreamFactory highlights eight of the best API documentation examples from well-known tools. You can use these examples for inspiration when creating your API docs. Here are the key takeaways to know about each of these API documentation examples.
Why It's Time to Update Your Embedded Analytics
After 20 years of dashboards, today’s line-of-business users expect more value from their analytics, and it’s up to your business to keep updated - or risk getting left behind. There was a time when product teams could purchase basic dashboards and data visualizations, and that was more than enough to satisfy the average user’s business intelligence (BI) and analytics needs. Today, however? Not so much.
Guide to Managing Unreal Engine Projects in Helix Core - Perforce U
Want to learn best practices and time-saving tips for managing Unreal Engine projects? This clip is from Course 9 of Perforce U College of Virtual Production, “Unreal Engine Project Management & Organization with Helix Core.” The course covers industry best practices for adding files, creating variants, establishing Helix Core naming conventions, and structuring levels and sequences. It also delves into how project managers can assign and monitor work in Helix Core and Unreal Engine, including how to manage tasks, identify areas of responsibility, and oversee workflow management.
Ensuring Accuracy and Reliability with ML Model Validation
As demand for machine learning (ML) grows, rigorous testing and quality assurance are crucial. ML models need quality training data and robust algorithms. Without thorough testing, inaccurate outcomes can occur, especially in sectors like healthcare, finance, and transportation. A 2023 ScienceDirect report found data leakage in 294 academic publications across 17 disciplines, highlighting the need to address this issue in ML-based science.
Providing a Secure In-App Login Experience with Authentication API
Application developers want to provide the most secure and seamless login experience for their users, but even when following OAuth and OpenID Connect (OIDC) best practices, user experience issues can still be a problem. In this article, we will walk through how developers can provide a secure and seamless login experience to users by providing the login functionality natively within the app itself.
Zephyr Scale Cloud | In-Depth Walkthrough, Test Management + Automation
Deliver better software, faster with unified test management and automation inside of Jira. Track progress, perform at scale, and test smarter.
MySQL vs MS SQL Server: Key Similarities and Differences | Dreamfactory
Today, we're looking at MySQL vs MS SQL Server. Relational database management systems (RDBMS) form the backbone of enterprise IT. The main difference between MySQL and Microsoft SQL Server is that MySQL is an open-source RDBMS known for its cross-platform compatibility and cost-effectiveness, while Microsoft SQL Server is a commercial RDBMS primarily designed for the Windows platform, offering advanced features and tight integration with Microsoft technologies.
iOS App Development Cost: A Detailed Estimation
If you compare the world 10 years ago with today's era, you can easily see the difference. From the difference, we don’t mean how the world looks, rather we mean how it functions now and used to function then. What do you think has changed in how the world functions now compared to back then? Is it purely due to digitalization? Or is it just a mere change? Keeping these questions aside, let us tell you that recent data suggests that people spend around 3 hours and 15 minutes on their phones daily.