Boost BigQuery with Python: Managed Python UDFs now generally available
Managed Python User-Defined Functions (UDFs) in BigQuery let you define and execute Python scalar functions directly within your BigQuery SQL queries.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
How In-House Legal Counsel Supports Faster Business Decision-Making
Speed matters in business. The ability to move quickly on contracts, partnerships, hiring decisions, and commercial opportunities can be the difference between capturing a market opportunity and watching a competitor take it. But speed without legal oversight creates a different kind of problem - the kind that shows up months later in the form of a dispute, a compliance breach, or a contract that does not say what everyone thought it said.
Sponsored Post
The Kubeshark Workflow That Doesn't Stop at the Dashboard
The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.
Fivetran vs. Airbyte: Features, pricing, services, and more
Compare Fivetran vs Airbyte pricing and key features. Learn how to choose the right data integration platform for you.
What is Smoke Testing? Meaning, Uses, Examples, and Tools
Every QA tester knows: time is money. When something breaks on your website or web application, it can cause major issues within minutes. One way to catch those problems early is smoke testing. Smoke testing answers one practical question before your team sinks time into deeper QA: is this build stable enough to keep testing? Instead of checking every detail, a smoke test focuses on the core workflows that need to work first.
Fivetran named a Leader for the fifth consecutive year in Snowflake's 2026 Modern Marketing Data Stack report
This recognition reflects the critical role automated data movement continues to play in helping organizations unify data, improve decision-making, and prepare for the future of AI.
React Native New Architecture and OTA Updates: What Teams Need to Know in 2026
The React Native New Architecture is no longer optional. From React Native 0.82 onwards it is mandatory, the legacy architecture is gone, and every team still running it is now carrying technical debt that will need to be resolved. For most teams, the migration conversation quickly turns to tooling. Does our CI/CD pipeline still work? Does our crash reporter still integrate correctly? Do our analytics tools need updating?
From Test Scripts to Test Goals: A Practical Guide to Agentic AI Testing
Is agentic AI testing more hype than substance? Clarifying what this category of software testing actually is, how it works in practice, and where it still falls short.
From Kong Konnect to Insomnia: A Developer Workflow for Testing Gateway APIs
As API ecosystems grow, developers and platform teams often work in separate environments. Platform teams manage APIs, gateways, and governance centrally, while developers recreate those configurations locally for testing and debugging. Over time, this can lead to configuration drift, inconsistent workflows, and security gaps. The release introduces our first native Kong Konnect integration, allowing developers to discover, import, and test Gateway configurations directly from Konnect.
What is ETL? A simple guide to the ETL process and how it works
Understand what ETL is, how the ETL process works in three steps, and why data integration is essential for turning raw data into analytics-ready insights.