Systems | Development | Analytics | API | Testing

The Snowflake Telecom Data Cloud

As Snowflake rolls out its new Telecom Data Cloud, “Data Cloud Now” host Ryan Green sits down with Phil Kippen, Global Head of Industry, Telecom, at Snowflake, to discuss what it all means for telecom service providers. During the interview, Kippen notes that the arrival of 5G creates new market opportunities but also new operational complexities for telecom service providers as they take on the task of rolling out new services and managing new infrastructure. He explains that the rollout of the Telecom Data Cloud will help companies achieve operational efficiencies by providing a single, unified platform across all domains and business functions within the telecom service provider environment and across all clouds. In addition, Snowflake will help service providers create a new marketplace that will enhance their ability to find new ways to monetize their data and applications and will help them work with partners across the telecom ecosystem to develop new opportunities for collaboration and data sharing.

SaaS In 60 - The Business Glossary

The Business Glossary helps eliminate data confusion by providing a comprehensive library of terms and descriptions that clearly identify how an organization defines its metrics measures and dimensions. It can streamline data-based decisions by eliminating misunderstandings due to competing terminologies or inconsistencies between technology definitions and business language. And a glossary can simplify regulatory compliance and serve as an important tool for data governance.

13 Skills Needed for any Data Engineer According to ChatGPT

Overview With the increasing use and discussion surrounding ChatGPT and its applications, I decided to test out what it says about important skillsets for data engineers. I conducted a search about both soft and hard skills and here is what it came up with. I have added a lot of commentary to each of the 13 skills identified.

Traditional BI vs Self-Service Analytics: What's the Difference?

Data has historically been in the hands of a select few in most businesses - until recently. Business intelligence (BI) solutions have evolved dramatically in the last few years to not only be more sophisticated, but simpler and more accessible for regular professionals to use analytics tools and get the insights they need to make decisions.