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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

Building a Fully Automatic Incremental Pipeline with Snowflake Document AI

InsureTech Solutions processes thousands of car insurance policy documents daily. These policies arrive as PDFs from various sources – agents, brokers, and customers. Document AI is one of the most powerful capabilities inside Snowflake Cortex. While most demos show how to extract text from PDF files, the real value emerges […]

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Business-Day Validation with Snowflake External Functions: Stop Weekend/Holiday SLA Misses

Business-Day Validation with Snowflake External Functions: Stop Weekend/Holiday SLA Misses .When organizations calculate due dates for claims processing, vendor payments, reimbursements, or customer SLAs, the typical approach is simple arithmetic: “claim_date + 3 days.” But this naive calculation creates real operational problems. Teams across finance, operations, and customer service commit […]

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Automating PII Governance in Snowflake

The Challenge Consider a typical enterprise scenario: your data team onboards new customer tables weekly, each containing various PII fields. Your compliance team requires all sensitive data to be properly tagged and masked based on user roles. Without automation, this becomes a bottleneck as data engineers manually identifying columns, applying […]

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Zero-Copy CRM: Read Snowflake from Salesforce with OAuth

Zero-Copy CRM: Snowflake from Salesforce with OAuth: Most CRM decisions happen in Salesforce, while the truth lives in Snowflake. However, Instead of copying data (ETL) or waiting for a managed “direct connector” to be available, you can call Snowflake live from Salesforce using OAuth + Named Credential + Snowflake SQL […]

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Parallel Jobs with Snowpark (collect_nowait + async_job)

Parallel Snowflake Jobs with Snowpark: The Challenge: Sequential Bottlenecks Imagine you’re loading sales data from multiple regions into Snowflake. Your pipeline needs to: Load North American sales data (2 minutes) Load European sales data (2 minutes) Load Asian sales data (2 minutes) Update high-value customer segments (1 minute) Update medium-value […]

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Unifying Timestamps from Multiple Systems in Snowflake

In real enterprise data landscapes, we often receive feeds from multiple source systems — CRM, ERP, HR, legacy Oracle apps, APIs, Excel exports, and more. Each system records timestamps in its own way. When these systems are merged into a single CSV feed, the timestamp column becomes inconsistent. Therefore, a […]

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