Systems | Development | Analytics | API | Testing

By segmenting your users into different groups, you can get a better understanding of how they use your API and what features they value most. Additionally, segmentation reports can help you identify areas where your API could be improved or made more user-friendly.

In this episode of “Data Cloud Now,” host Ryan Green interviews Snowflake’s Torsten Grabs about some of the big news coming out of Snowday, with a particular focus on Snowpark for Python, which is now generally available for building Python pipelines and ML models directly in Snowflake.

Beyond the API Gateway- Kong's Product Vision and Strategy API Management as it was once known is dead. Kong's Vice President of Product Reza Shafii talks through the evolutions of monoliths to microservices and beyond, the birth of Kong, as well as the growth and future of Kong in his Kong Summit 2022 keynote. Learn about the Kong suite of products, how businesses can better supporting their dev ops functions, catch a recap of a live demo of Kong Insomnia and more.

Appian runs the world’s most critical and complex processes. Process automation is the foundation of what we do, providing the means for organizations to streamline and continually improve how they operate. Our data fabric seamlessly merges data with zero migrations and can be used across workflows and applications. Complete automation capabilities including RPA, IDP, AI, and Smart Services help increase process velocity while built-in process mining enables you to continually optimize and improve processes.

In times of economic uncertainty, businesses need to get the most value from their data. The most direct path to maximizing data value is establishing data excellence — but delivering trusted data to everyone who needs it without sacrificing control and compliance often feels impossible.

In this episode of “Powered by Snowflake” host Daniel Myers sits down with Anvilogic’s Security Strategist and Head of Product Marketing, Jade Catalano. Founded by a team of security industry vets, Anvilogic has helped ease legacy security systems into the future, enabling organizations to quickly detect, hunt, and respond to threats. This conversation covers the challenges of modernizing legacy security systems, how to manage an excess of data, a product demo, and more.

ChaosSearch complements monitoring-focused observability solutions to meet the scale, cost and complexity challenges of operational log analytics.ChaosSearch transforms your cloud object storage into a hot data analytical datalake. Here is how ChaosSearch greatly simplifies the data pipeline.

Data preparation issues, particularly at scale, can be solved. How? This demo walks you through how ChaosSearch helps.

What are data destinations? In a very abstract sense, data destination is another input along the series of process elements in a data pipeline. However, when calling out an element as the destination, it is really seen as the final destination such as a database, data lake or data warehouse. And yet, any element within the data pipeline has aspects of a final destination (and scaling challenges).