Analytics

In this post, we demonstrate how a robust and scalable generative artificial intelligence (GenAI) chatbot is built using Amazon Bedrock and Confluent Cloud. We walk through the architecture and implementation of this generative AI chatbot, and see how it uses Confluent's real-time event streaming capabilities along with Amazon's infrastructure to continually stay up to date with the latest advances from the AI landscape.

When Snowflake acquired the TruEra AI Observability platform, we committed to keeping TruLens open source. We’re not only keeping that promise; we’re emphasizing it. Our goal remains to support LLM app developers in creating trustworthy generative AI applications. In the weeks since the acquisition, we have already added ecosystem-friendly enhancements including: We plan to continue making enhancements and improvements that benefit the community at large, whether on Snowflake or not.

Datastream’s new append-only mode streamlines the process of replicating changes from an operational databases to BigQuery.

Businesses must evolve and innovate to stay competitive in the ever-growing market. API adoption has witnessed an extraordinary surge across industries. Over 85% of enterprises are already using APIs or are in the process of doing so, a testament to how APIs are integral to defining business operations. APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption.

80% of organizations use APIs, highlighting the significant adoption rate and an upward trend for greater API usage. APIs can be important for businesses, but creating them from scratch is complex. With the advent of various API generation tools, the task of developing APIs has been simplified. API generation tools automate the creation process of an API based on existing code and specifications, such as pre-defined data sources, functionalities, and access control.

How to use BigQuery vector search to analyze logs and asset metadata stored in BigQuery tables.

Application Programming Interface (API) security is the practice of protecting APIs from attacks. Like databases, servers, and networks, APIs are susceptible to attacks from hackers looking to gain access to sensitive data. Since APIs are more commonly used — to the extent that they’ve become a fundamental part of modern applications — they’ve become a popular target for hackers.

Application Programming Interface (API) is a set of rules or protocols that allows one software application to interact with another. An API integration tool is a software that facilitates the ‘talk’ or communication and data sharing between different software systems and applications. While manual API integration is possible, utilizing API integration tools enhances the efficiency and reliability of this process.