Systems | Development | Analytics | API | Testing

Discover how to optimize your procurement process with our guide to 21 crucial KPIs. Drive efficiency, foster relationships, and fuel sustainable growth.

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.

Calling all new Bitrise customers. Get ready for an incredible journey of mobile DevOps exploration and innovation with our enhanced free trial experience.

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.

We’re thrilled to announce that Tricentis has been honored with the prestigious Digital Transformation of the Year award at the 7th annual National Technology Awards. The awards celebrate pioneers of technology and are open to any technology provider or financial institution with a UK office. Winners are selected across 35 categories, including Digital Transformation of the Year.

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?

One of the world’s largest logistics companies leverages automation and AI to empower every individual data engineer with self-service capability to optimize their jobs for performance and cost. The company was able to cut its cloud data costs by 70% in six months—and keep them down with automated 360° cost visibility, prescriptive guidance, and guardrails for its 3,000 data engineers across the globe.

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.

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.

For the best staffing and team-building results, respect the differences between types of data professionals.