About Us

Cloudyard is being designed to help the people in exploring the advantages of Snowflake which is gaining momentum as a top cloud data warehousing solution.

Site provides professionals, with comprehensive and timely updated information in an efficient and technical fashion. From basic to Advanced concepts along with the realtime scenario,Weaves the SnowSql, jq parser,Snowflake-Python connector,propositional logic all at one place in order to unveil nuances of realtime flavour and experiences with Snowflake Cloud. Read More

Latest Post

AI_REDACT-Powered PII Redaction in Snowflake

Every insurance company sits on a goldmine of unstructured data—claim adjuster notes, customer communications, incident descriptions. This text is incredibly valuable for analytics and AI (trend detection, severity scoring, fraud hints, summarization). But it also frequently contains PII embedded inside sentences, not neatly stored in structured columns. Snowflake’s AI_REDACT function […]

Read More

Integrate Snowflake with Microsoft Fabric Using Iceberg Tables

Modern enterprises rarely operate within the boundaries of a single platform. Data teams today juggle multiple tools — cloud data warehouses, analytics platforms, BI tools, and data lakes — all of which need to talk to each other efficiently and without data duplication. Snowflake is the gold standard for cloud […]

Read More

Stop Re-Scoring History: Dynamic Tables + IMMUTABLE WHERE

Dynamic Tables + IMMUTABLE: If you’ve built any “AI-like” enrichment in a data pipeline—sentiment scoring, classification, extraction, or even LLM calls—you’ve probably seen this pattern: New data arrives every few minutes, but your transformation keeps reprocessing old history again and again.That’s not just wasteful—it directly impacts refresh latency and compute […]

Read More

Delta Direct in Snowflake: Build an Iceberg Table on Delta Files

Modern data platforms rarely live in a single ecosystem. One team might be writing data in Delta Lake (often from Databricks or Spark jobs), while analytics, governance, and consumption happens in Snowflake. Historically, “reading Delta from Snowflake” often meant external tables. But Snowflake now supports a better pattern: consume Delta […]

Read More

GenAI in Snowflake: Audit Logs + Email Alerts for Snowflake Intelligence

In the previous blog, we proved something important: GenAI can be business-friendly and still secure. Using Snowflake Intelligence (Cortex Analyst) and governed semantic models, we showed that: Business users can ask questions naturally (no SQL required). The system answers using governed semantics (not random tables). RBAC + masking ensures the […]

Read More

Gen AI for Analytics: Cortex Analyst with Dynamic Masking

The Problem Everyone’s Worried About: Your business users are excited about Gen AI Analytics. They want to ask questions like: “Show me customer emails for active policies in California” “Which policyholders have claims over $50K?” “Give me contact details for renewals expiring this month” But your security team is nervous. […]

Read More