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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

Snowflake Cost Monitoring with AWS CloudWatch & External Functions

Monitoring and optimizing cloud costs is a key challenge for businesses operating in cloud environments. Snowflake provides detailed usage insights, but integrating this data with AWS CloudWatch using External Functions allows organizations to track cost in real-time, set up alerts, and optimize warehouse utilization. What if we could integrate Snowflake […]

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Snowflake Meets Streamlit: Smarter Data Export

One of the most common tasks is exporting data from cloud platforms like Snowflake and saving it in formats like CSV for further analysis or sharing with stakeholders. While Snowflake offers powerful tools for querying and manipulating data, exporting it in a user-friendly format requires a bit more effort. In […]

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Schema Evolution with Case Sensitivity Handling in Snowflake

In modern data pipelines, handling data in various formats such as CSV, Parquet, and JSON is essential to ensure smooth data processing. However, one of the most common challenges faced by data engineers is the evolution of schemas as new data comes in. Schema evolution refers to the ability of […]

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Snowflake PARSE_DOC Meets Snowpark Power

Snowflake’s PARSE_DOCUMENT function revolutionizes how unstructured data, such as PDF files, is processed within the Snowflake ecosystem. Traditionally, this function is used within SQL to extract structured content from documents. However, I’ve taken this a step further, leveraging Snowpark to extend its capabilities and build a complete data extraction process. […]

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Multi-Select Filtering with Streamlit and Snowflake

Streamlit, coupled with Snowpark, provides an excellent platform for creating interactive and user-friendly data applications. This blog highlights the significance of “Multi-Select Filtering with Streamlit and Snowflake”, demonstrating how multi-select filters can simplify data exploration by allowing users to apply multiple filters dynamically. While the example discussed is a basic […]

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Private Listing and Masking Policies for Cross-Region Data Sharing

In the evolving landscape of data sharing, Snowflake offers two primary methods: Direct Share and Private Listing. While both facilitate data sharing, they cater to different needs and scenarios. This blog focuses on Private Listing and Masking Policies for Cross-Region Data Sharing, comparing it with Direct Share and examining how […]

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