Systems | Development | Analytics | API | Testing

How to create an Educational App?

Learning is no longer the arduous task that many adults may recollect. In contemporary times, studying has become convenient, allowing individuals to engage in educational pursuits anytime and anywhere using just a smartphone. The education app development sector has evolved into a hub for technological innovations, presenting a substantial niche for business endeavors. Numerous enterprises, including Samsung, Dell, and Fujitsu, are actively investing in the smart education and eLearning sector.

Robust JavaScript Error Handling: Best Practices and Tools

By combining custom errors, named functions, and Bugfender, you can create a robust JavaScript error-handling process that allows you to immediately identify the defects of your JavaScript apps. This article shows you some strategies, approaches, and best practices to ensure you create high-quality and high-performing JavaScript applications. Table of Contents.

GenAI Meets AI Data Management: Keboola's Google Cloud Marketplace Debut

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.

The 5 Key Areas to Optimize Your API Lifecycle

Ever faced frustrating API documentation? Or wrestled with versioning headaches? Or battled integration nightmares? These are just some of the common challenges that plague the API development world. The good news is that there's a better way. By prioritizing five key areas – design clarity, comprehensive documentation, developer empathy, robust security, and automated workflows – you can overcome these hurdles and craft APIs that are a joy to use, maintain, and integrate with.

Top 5 Data + AI Predictions for Financial Services in 2024

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

Kong Konnect Data Plane Elasticity on Amazon EKS 1.29: Pod Autoscaling with VPA

In this series of posts, we will look closely at how Kong Konnect Data Planes can take advantage of Autoscalers running on Amazon Elastic Kubernetes Services (EKS) 1.29 to support the throughput the demands API consumers impose on it at the lowest cost. The series comprises four parts.

Owning Infrastructure vs Owning Policies: Balancing Engineering Autonomy and Platform Control of APIs

We want our engineering teams to move fast and be agile, yet many organizations confuse ownership of the infrastructure with ownership of the policies. The latter is what engineering teams want to rapidly iterate and develop their APIs. The former is the responsibility of the platform team. In this post, we'll talk about how to empower engineers with a secure API infrastructure strategy. This is part of a series on becoming a secure API-first company.

How to Reduce Databricks Costs with These Easy Tips

Databricks is a popular platform for running Apache Spark workloads in the cloud. While Databricks makes it easy to spin up Spark clusters on demand, this flexibility can also lead to higher costs if not managed properly. In this article, we’ll explore some techniques for optimizing your Databricks clusters to reduce costs without sacrificing performance.

Optimize SAP Data Analysis for a Sustainable Future

Monitoring your carbon footprint aligns your company with global efforts to address climate change and serves as a cornerstone of responsible corporate governance and cutting-edge sustainable business practices. Understanding your SAP data to its fullest is the first step on the journey towards a more sustainable future. With an advanced operational reporting solution that delivers proper data analysis, you can put your best foot forward.

Embedding BI Into RAD Studio applications with Yellowfin

Integrating business intelligence (BI) into your RAD Studio application is a great way to increase product stickiness, improve customer loyalty and unlock data-led insights for your end-users. Also known as embedded analytics, having a suite of natively integrated BI tools in your software product opens up data access and insight discovery to your end-users as part of their workflow, helping them make business decisions and increasing the value of your software for their goals.