Systems | Development | Analytics | API | Testing

Benchmarking Snowpark Vs. Spark For Data Processing

Are you a data scientist or data engineer looking to improve your data operations and workflows? Look no further than Snowpark! Our team at Keboola has conducted comprehensive benchmark tests pitting Snowpark against Spark, a traditional data processing engine. Our findings? Snowpark outperforms Spark in both speed and cost for most data engineering and machine learning tasks. ‍ Inside, you’ll find: ‍ Unlock the full potential of your data.

Creating an API Monetization Stack

API monetization is currently a trending topic for many organizations looking to beef up their revenue. Of course, monetizing APIs isn’t the easiest of tasks and requires quite a few moving parts. When it comes to monetization, you’re going to need an entire technology stack to handle the heavy lifting. Creating a stack that allows you to build a product and get to market rapidly is great.

Smart(er) Reporting in BMC with Yellowfin: Webinar Recap

Welcome to the Smart(er) Reporting in BMC with Yellowfin webinar recap! As BMC has initialized its end-of-life (EOL) plan for BMC Smart Reporting for Remedy, BMC customers have the opportunity to maintain their existing reporting and analytics to Yellowfin. But what does EOL for Smart Reporting actually mean? How can the upgrade to Yellowfin de-risk your business, with zero down-time and all your current content for business continuity?

Why elasticity is essential for delivering realtime updates at scale

Elasticity – the ability of software infrastructure to adapt and scale to fluctuations in usage – is an essential part of realtime updates. Elasticity is not a new problem but for realtime update systems, the challenge is different in two major ways: In a previous article, we walked through the fundamentals that comprise a successful realtime update infrastructure.

No-Code Data Pipelines: Streamline Data Integration

Historically, connecting multiple data sources to a single destination required extensive experience as a computer programmer or data scientist. Today’s no-code data pipelines have changed that perspective. Now, practically anyone – even those without any coding experience – can use no-code pipelines to streamline data processing without damaging data quality. You will, however, need the right ETL and ELT tools to manage real-time data flows.

Scaling realtime messaging for live chat experiences: Challenges and best practices

Live chat is the most common type of realtime web experience. Embedded in our everyday lives, we use messaging platforms like WhatsApp and Slack daily to keep in touch with friends and family, and to communicate and collaborate at work. With live chat functionality also prominent across e-commerce, live streaming, and e-learning experiences, end users have come to expect (near) instant message receipt and delivery.

Back-end application hosting made easy

For the day-to-day developer, deployment and hosting, plus the subsequent management of solutions in production, is a considerable challenge, especially if it’s outside their immediate skill set. Hosting applications can be complex. Besides the obvious challenges of scalability, security, and reliability (up-time), you must consider where your application will be hosted, how you plan to deploy it, how to monitor it, and more.