Akash Das

Snowflake Cybersecurity Workload

In the current world of big data and vast web interactions, big or small organizations face an evolving cyber threat landscape. Almost 60% of the security professionals agree that their organizations have had at least one security incident or breach in the past 12 months. At its core, cybersecurity is a data problem. By using data …

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Snowflake Cyber Security

Teradata migration with dbt based automated testing

SpringML shares a simplified way to migrate your database from Teradata to Snowflake. In this video, we demonstrate a 3 step migration process from translating queries, creating transformation views, validating the data, and finally verifying their performance. We leverage Google’s cloud run by creating models and applying them to a chosen database, while also running tests …

Teradata migration with dbt based automated testing Read More »

Teradata migration with dbt based automated testing

Teradata migration with dbt based automated testing

SpringML shares a simplified way to migrate your database from Teradata to Snowflake. In this video, we demonstrate a 3 step migration process from translating queries, creating transformation views, validating the data, and finally verifying their performance. We leverage Google’s cloud run by creating models and applying them to a chosen database, while also running tests …

Teradata migration with dbt based automated testing Read More »

Teradata migration with dbt based automated testing

Streamlit based app to generate insights and anomalies in data

Get to know your data through historical descriptive analysis. Identify interesting insights and anomalies in the data sets. In this video, SpringML leverages Snowflake along with Google’s Cloud Run product to deploy the Streamlit-based application that automates the coding and visualization processes without the need for data aggregation. Here we have a use case of cricket …

Streamlit based app to generate insights and anomalies in data Read More »

Streamlit based app to generate insights and anomalies in data

Streamlit based app to generate insights and anomalies in data

Get to know your data through historical descriptive analysis. Identify interesting insights and anomalies in the data sets. In this video, SpringML leverages Snowflake along with Google’s Cloud Run product to deploy the Streamlit-based application that automates the coding and visualization processes without the need for data aggregation. Here we have a use case of cricket …

Streamlit based app to generate insights and anomalies in data Read More »

Streamlit based app to generate insights and anomalies in data

ML driven price optimization with what-if analysis

Price optimization enables retailers to draw smart insights from their customer data and never miss a business opportunity. In this video, SpringML demonstrates the process to optimize the prices of products by leveraging the Google Looker dashboard powered by Snowflake. We also provide a step-by-step demonstration of an operationalized model that results in clearing out inventory …

ML driven price optimization with what-if analysis Read More »

ML driven price optimization with what-if analysis

ML driven price optimization with what-if analysis

Price optimization enables retailers to draw smart insights from their customer data and never miss a business opportunity. In this video, SpringML demonstrates the process to optimize the prices of products by leveraging the Google Looker dashboard powered by Snowflake. We also provide a step-by-step demonstration of an operationalized model that results in clearing out inventory …

ML driven price optimization with what-if analysis Read More »

ML driven price optimization with what-if analysis