Systems | Development | Analytics | API | Testing

The Data Hiring Dilemma: Scaling Analytics Without Expanding Headcount

The volume of data businesses process is surging exponentially, while budgets for human capital remain constrained. For many CTOs and Data Leaders, a default response to escalating data demands can be an accelerated hiring cycle; get more people. Yet, relying on recruitment to solve challenges around scaling analytics is no longer easily feasible; it can be a significant bottleneck.

Beyond RAID and Mirroring: A Next-Generation Approach to Data Resilience

Imagine being forced to buy twice the storage you'll ever use, or watch your AI workloads grind to a halt when petabyte-scale data growth from training models exhausts capacity mid-project? Many teams remember when a few well-tuned arrays and RAID groups felt like more than enough, long before AI pipelines and container sprawl started eating capacity for breakfast. And then there’s reliability.

Embedded Analytics as a Revenue Generator: Turning BI Into Product Revenue

BI is Not a Cost Center The Hidden Barriers Between Embedded Analytics and Revenue Turning Embedded Analytics Into a Scalable Revenue Stream Why YellowfinBI Maps Well to Revenue-Grade Embedded Analytics Proving ROI: Revenue Stories That Survive Finance Review Conclusion: Packaging Embedded Analytics as Revenue FAQ.

Cortex Code CLI expands to support any data, anywhere

Cortex Code CLI is expanding capabilities to accelerate your enterprise data lifecycle inside Snowflake! Introducing dbt and Apache Airflow support, expanded model choice across Claude Opus 4.6, Sonnet 4.6, and GBT 5.2. New enterprise-grade governance controls, and a self-serve subscription option. See how Cortex Code CLI helps you ship workflows faster, integrate data systems, and build with confidence using natural language.

Retrieving Metadata from a ThoughtSpot Cluster Using CS Tools

Retaining total clarity over your metadata doesn't have to be a manual burden. While traditional BI tools often demand more time than they save, this technical walkthrough explores how to leverage CSTools—a Python-based utility—to bypass the UI and fetch metadata directly via REST APIs. Automating your cluster oversight is essential for reliable, code-first tracking of users and groups at scale. By using CSTools, you can eliminate the manual "busy work" and offload the repetitive tasks that weigh down your data team.

How to Avoid the Hidden Costs of Slow IT Infrastructure Deployments

Organizations invest in IT infrastructure with one expectation: results, delivered fast. But when deployments drag on, the fallout goes far beyond slipping timelines. Slow rollouts can erode ROI, heighten operational risk, and strain already‑stretched IT teams. They also keep organizations from innovating at the speed today’s market demands—and the true cost of those delays often isn’t obvious until performance starts to suffer.

Ep 61 | The AI Shake-Up Telecom Can't Ignore with Mike O'Sullivan

As telecom operators invest billions in next-generation networks, many are racing to deploy AI to cut costs and unlock new revenue. But beneath the push for automation and smarter infrastructure lies the deeper challenge of rethinking how connectivity itself should be trusted.